ScrapingBee's Blog on ScrapingBee – The Best Web Scraping API

The best Python HTTP clients for web scraping

Fri, 18 Sep 2026 00:00:00 +0000

Requests, urllib3, aiohttp, and HTTPX are the best Python HTTP clients for web scraping, each for a different job: lightweight simplicity (Requests), low-level control (urllib3), async scraping (aiohttp), and a modern sync/async combo (HTTPX).

Choosing the right one depends on what you're building. A single-script scraper and a high-concurrency crawler have very different needs around connection pooling, retries, timeouts, and async support. In this post, we'll break down these standout clients, what they're best at, and when to use each.

The Best JavaScript Web Scraping Libraries

Thu, 17 Sep 2026 00:00:00 +0000

Looking for the best JavaScript web scraping library in 2026? The answer depends on what you're scraping.

For static HTML, a lightweight parser such as Cheerio may be all you need. For JavaScript-heavy websites, browser automation tools such as Playwright, Puppeteer, or Selenium make more sense. And once you start crawling hundreds or thousands of pages, frameworks such as Crawlee can handle queues, retries, concurrency, and sessions for you.

In this guide, we'll compare the most useful JavaScript web scraping tools and libraries available in 2026, including browser automation tools, HTML parsers, crawling frameworks, native Node.js options, and hosted scraping APIs.

The Complete Guide to Camoufox and Anti-Detect Scraping in 2026

Thu, 17 Sep 2026 00:00:00 +0000

Camoufox is an open-source, Firefox-based anti-detect browser for Python that spoofs browser fingerprints inside Firefox's C++ code, not through injected JavaScript. Pair it with a residential proxy and a matching geolocation, and it presents an identity that anti-bot systems struggle to distinguish from a real visitor.

In this guide, we install Camoufox in Python, build a first scraper, set up proxies and geoip the way they work today, and scrape Crunchbase past Cloudflare Turnstile and Google Maps with map panning.

How to Scrape Immoscout24.ch Real Estate Data in Python

Wed, 16 Sep 2026 00:00:00 +0000

Immoscout24.ch is a Swiss real estate portal. Its listings load from an internal JSON API, and the site is behind an anti-bot wall that triggers CAPTCHAs on the first request. If you want to know how to scrape Immoscout24.ch, consider that:

The site’s Terms forbid automated access.
Swiss data-protection law covers the agent contact details in each listing.

This guide presents the techniques to scrape Immoscout24.ch responsibly.

Key takeaways

Immoscout24.ch is a Swiss site. It is a different company from the German immobilienscout24.de. This means that techniques you can find online that are written for scraping the German site cannot be assumed to apply to Immoscout24.ch.
The listing data is exposed in an embedded JSON blob and an internal JSON API. This lets you extract structured data, not brittle HTML.
The site is behind an anti-bot wall that triggers CAPTCHA challenges on the first request. Requests from non-Swiss IP addresses are especially likely to be challenged. You need robust anti-bot handling plus a Swiss proxy.
Scraping public property attributes is generally low-risk. Note that agent names, phones, and emails are personal data under Swiss law (revFADP) and GDPR, so minimize them and do not build a contact database.
The site’s Terms forbid automated access. Keep volume low, respect the site’s terms, and use the official partner data feed for anything bulk or commercial.

Is it legal to scrape Immoscout24.ch?

Scraping publicly visible property data from Immoscout24.ch is not automatically unlawful. However, “not automatically unlawful” is a long way from “legal without qualification”. The first constraint is contractual. Immoscout24.ch’s General Terms and Conditions, Section 7, are explicit:

ChatGPT Web Scraping: What It Can and Can't Do (Tested)

Tue, 15 Sep 2026 00:00:00 +0000

In this post I tested ChatGPT web scraping to the fullest, extracting data without hands-on coding. I tested how ChatGPT scrapes data directly in the chat, how it helps us build a custom scraper, and how it deals with common issues we face when scraping data. I tried my best to use ChatGPT to scrape a website by itself, but as you will see in the test results, sometimes I had to turn the autopilot off and steer it in the right direction.

How to scrape Google Trends with Python using ScrapingBee

Tue, 15 Sep 2026 00:00:00 +0000

Trends data comes through ScrapingBee's general HTML API: you send the Trends URL, render the page, and read either the page or what the page's own requests return. That last part separates Trends from an ordinary scrape. The JSON endpoints behind Trends refuse requests that don't already carry a Trends session, the cookies Google sets while a Trends page loads. A proxy gives you a different address rather than a session, so calling them without one returns a refusal that rotating the address doesn't remove.

The 7 best mobile and 4G proxy providers for web scraping

Mon, 14 Sep 2026 00:00:00 +0000

Looking for the best mobile proxy providers for web scraping? I compared six mobile proxy networks and ScrapingBee as a managed alternative across Google, Amazon, Instagram, and a mixed sample from the Tranco Top 1000 to see how they perform in real scraping jobs.

Mobile, 4G/LTE, and 5G proxies are useful when regular datacenter IPs get blocked, when you need carrier-grade addresses, or when mobile IPs are simply part of the job. But provider websites all tend to promise huge pools, great success rates, and blazing speeds, which doesn't tell you much about what happens when you actually send requests through them.

Introducing the ScrapingBee Shopee API

Wed, 09 Sep 2026 00:00:00 +0000

The ScrapingBee Shopee scraper API lets you extract structured product data from Shopee pages without building and maintaining your own scraping setup.

Instead of handling page rendering, anti-bot measures, proxies, retries, and parsing yourself, you send the API a Shopee product URL and get structured JSON back. The response can include fields such as the product title, price, stock, ratings, review count, images, seller information, variants, and category data. You can also include the original page HTML if you need it.

10 Best AI Web Scraping Tools in 2026 (Tested)

Mon, 07 Sep 2026 00:00:00 +0000

The best AI web scraping tools in 2026 depend on your use case, because the best tool for a developer building an LLM pipeline or pulling entity data at scale is different from the best tool for a non-developer monitoring competitor pricing.

In our tests, we stopped one tool after twelve minutes because parsing was taking too long, and another returned a confidently wrong date. In all, we tested nine of the ten tools below against the same two real pages, a dynamic Decathlon product listing and a Cloudflare blog post, and drew on published documentation for the tenth, which we could not get access to in time.

How to Decode and Handle Google's New /goto Redirect URLs

Mon, 07 Sep 2026 00:00:00 +0000

Google /goto redirect URLs are starting to appear in Search results instead of direct destination links, often carrying opaque CAES tokens that are not immediately useful to scrapers.

In this article, we'll look at how to decode Google /goto URLs, what the CAES token actually contains, when these redirects tend to appear, and how to resolve them efficiently in Python. We'll also walk through our own browser and scraping experiments and show a practical way to handle /goto links in a real Google scraper.

Zero-Shot E-Commerce Scraping: Call the LLM Last

Mon, 07 Sep 2026 00:00:00 +0000

When a scraper breaks, the reflex is to reach for a language model. For zero-shot e-commerce scraping, that reflex is usually the most expensive move you can make: a model call per page cost me about 30 seconds on local hardware. The product data is often already in the page as JSON, and much of the drift that follows a site change heals without a model. The local LLM belongs at the bottom of the cascade, as the fallback you use last.

8 Best Web Scraping Tools for Python in 2026

Fri, 04 Sep 2026 00:00:00 +0000

The best web scraping tools for Python are built for very different jobs. Some help you parse HTML, some run a real browser, and others handle crawling, proxies, JavaScript rendering, or scraping infrastructure for you.

In this guide, we'll compare eight of the best Python web scraping tools for 2026: ScrapingBee, Playwright, Selenium, Scrapy, Crawlee, Beautiful Soup, selectolax, and curl_cffi. We'll cover what each tool is good at, where it falls short, and when it makes sense to use it.

Web Scraping With Local Deep Research: Feed the Agent

Fri, 04 Sep 2026 00:00:00 +0000

A deep research workflow is only as good as the sources it can retrieve. Open systems like Local Deep Research, gpt-researcher, and LangChain's deep agents use a similar loop: a search API finds URLs, then a downloader retrieves each one. That retrieval stage is where things break. A documentation site returns a 403. A pricing page rendered entirely with JavaScript comes back empty. Raw HTML floods the model's context with navigation and ad markup instead of the paragraph it needed.

Best Proxies for Amazon in 2026: Top 7 Picks

Thu, 03 Sep 2026 00:00:00 +0000

Amazon runs its own anti-bot infrastructure at scale and updates it continuously, which means proxies that worked last quarter may already be flagged.

This guide ranks the best proxies for Amazon scraping in 2026 across residential, ISP, and mobile pools, with honest notes on which proxy types work for different Amazon workloads and when managed APIs become the more cost-effective option.

Key Takeaways

Oxylabs is the top-rated enterprise provider for Amazon scraping, ranking #1 for residential-proxy success in Proxyway's 2026 Amazon proxy benchmark.
Residential proxies are essential for bypassing Amazon's ASN-level blocks that instantly flag and ban datacenter IP ranges.
ISP proxies (static residential) offer the best session stability for multi-page product data extraction and account management.
ScrapingBee provides a managed alternative that handles proxy rotation and anti-bot challenges automatically through a single API endpoint.

Quick Overview: Best Amazon Proxy Providers in 2026

Oxylabs - Best overall for enterprise-scale Amazon scraping
Bright Data - Best residential proxy pool with advanced targeting
Decodo - Best value for mid-size scraping projects
IPRoyal - Best budget entry point for small-volume jobs
Webshare - Best static residential (ISP) proxies for stable sessions
NodeMaven - Best for multi-account and high-performance use cases
MarsProxies - Best affordable ISP and residential mix for tight budgets

The 7 Best Proxy Providers for Amazon in 2026

Provider	Amazon Success (indicative)	Pricing
Oxylabs	95.76%	Residential from $2.50/GB, ISP from $1.20/IP, datacenter from $0.70/IP, mobile from $3.50/GB
Bright Data	96.75%	Residential from $2.50/GB, datacenter from $0.90/IP, ISP from $1.30/IP
Decodo	95.65%	Residential from $2/GB, ISP from $0.27/IP, datacenter from $0.02/IP, mobile from $2.25/GB
IPRoyal	~70%-99%	Residential from $1.75/GB, ISP from $1.80/proxy, datacenter from $1.39/proxy, mobile from $10.11/day
Webshare	95.63%	ISP (static residential) from $0.30/IP, datacenter available, free datacenter plan
NodeMaven	96.22%	Residential from $2.20/GB, ISP from $2.99/IP, mobile from $2.20/GB
MarsProxies	~95% (self-reported)	Residential from $1.65/GB, ISP from $1.35/proxy, datacenter from $0.89/proxy, mobile from $2.83/day

Success rates are indicative, drawn from provider-reported figures and third-party benchmarks (such as Proxyway). Real-world results vary by workload, target page, and configuration, so treat these as directional, not guarantees.

Top Free Web Scraping Frameworks (2026)

Thu, 03 Sep 2026 00:00:00 +0000

The right web scraping framework is the difference between a smooth data extraction project and weeks of troubleshooting. Whether you're building a price monitor, aggregating job listings, or collecting market research, the tool you pick sets your development speed, your maintenance burden, and how well you handle complex sites.

In 2026, the web scraping landscape pairs mature, proven frameworks with newer tools built for JavaScript-heavy websites. This guide covers the top free web scraping frameworks across Python, Node.js, and Go, so you can match the right web scraper to your stack without extra complexity or vendor lock-in. Every framework here is free and open source; the only costs come later, when you add proxies, browsers, and storage at scale.

Web Scraping With CodeWhale: Live Web Data Access

Thu, 03 Sep 2026 00:00:00 +0000

An AI agent cannot see the live web on its own. Its model is frozen at a training cutoff, and it has no way to render JavaScript-heavy pages or get past anti-bot walls. You give it web access by adding a web scraping tool: a tool it calls directly, an MCP server it connects to, or a framework tool.

This guide focuses on the MCP route for CodeWhale, the terminal coding agent with tens of thousands of GitHub stars. It then briefly covers tool calling and framework integrations for agents that don't speak MCP, and closes with a security question many guides skip: what happens when the page you just scraped tries to talk back to your agent?

What Is a CAPTCHA Solver? How They Work and When to Skip Them

Thu, 03 Sep 2026 00:00:00 +0000

A CAPTCHA solver is a tool or service that completes CAPTCHA challenges and returns a valid response to the target website. When automated scraping workflows hit security gates like reCAPTCHA or hCaptcha, developers use these solvers to process visual, audio, or token challenges programmatically.

A developer's natural instinct is to answer the challenge; however, that's not always the ideal way to retrieve data.

In this guide, you will get an in-depth look at CAPTCHA solvers: how they work, their limitations, how to stop CAPTCHAs from triggering in your automation workflow, and how to retrieve clean data through a managed scraping API.

How to scrape all text from a website for LLM training

Wed, 02 Sep 2026 00:00:00 +0000

If you’re building AI applications, you need LLM-ready text pulled from web pages. Whether you’re feeding a RAG retrieval pipeline, fine-tuning, or continuing pretraining an existing model, the first step is web scraping for LLMs.

In this article, we’ll show you how to scrape a website for LLM training data by automating text collection across an entire site. We’ll build a custom Python LLM training data scraper that extracts, parses, and saves website text in a clean format.

The complete guide to AI agent web scraping with wigolo and MCP

Wed, 02 Sep 2026 00:00:00 +0000

Web scraping for AI agents means giving an autonomous agent the ability to search the web, fetch pages, and extract clean, structured data it can act on, typically exposed as tools via the Model Context Protocol (MCP). In my experience, there are two ways to get there.

You can run a local-first open-source stack like wigolo on your own machine, or you can call a managed scraping API with a hosted MCP server.

MCP servers for web scraping: carry control, not data

Fri, 28 Aug 2026 00:00:00 +0000

A scraping agent whose context fills with pages rarely fails outright. It pays for every page on every turn, slows down, and reasons worse as the window fills. That is the failure a high-performance MCP server for web scraping is built to avoid.

A Model Context Protocol (MCP) server is how a scraping stack becomes something an agent can call. The obvious move is to treat it as a passthrough: the agent asks for a page, the page comes back in the tool result. That one decision shapes how far it scales, and for pipeline work it's the wrong one. The dataset belongs in a store the model can query, not in the context window it has to read.

Agent Skills: How to Build More Reliable AI Coding Agents

Sat, 15 Aug 2026 00:00:00 +0000

If you have opened GitHub Trending in the last few months, you have probably come across the Agent Skills repo by addyosmani. AI coding agents are already very good at writing code, but they rarely work the way experienced engineers do. For instance, they can quickly build a feature but may skip the specification or tests, or overlook security concerns in the process.

That gap between code that was generated and software that is actually ready to ship is what Agent Skills is trying to address. Instead of relying on broad instructions like "write clean code" or "remember to test," it gives agents structured workflows for defining requirements, planning changes, testing implementations, reviewing code, checking security, and preparing software for production.

How to Build a Job Aggregator with Web Scraping (Full Pipeline)

Sat, 15 Aug 2026 00:00:00 +0000

To build a job aggregator with web scraping, think in terms of a pipeline: source postings smartly, normalize every source to one shape, deduplicate the same job across boards, keep the data fresh, then store and serve it.

Scraping a single job page is the easy part. The real work is everything that turns a pile of scraped pages into one clean, current feed, which is why builders usually underestimate the jump from scraping pages to running a useful aggregator.

How to Build the Best Python Flight Scraper in 2026

Sat, 15 Aug 2026 00:00:00 +0000

The best way to build a Python flight scraper is to pick the method that fits your goal, then let a web scraping API clear the anti-bot wall for you. You have four realistic options: reverse-engineer a site's own API, drive a real browser, use an official flight API, or use a managed scraping API that renders the page and rotates stealth proxies in one call.

In this guide, I'll walk you through all four, then build a general, multi-source scraper in Python with tested code against Google Flights, Kayak, and Skyscanner, and turn it into a flight price tracker that watches fares and alerts you on a drop.

Introducing the ScrapingBee Agentic Employee Search API

Fri, 14 Aug 2026 00:00:00 +0000

The ScrapingBee Agentic Employee Search API lets you find relevant employee profiles using natural-language queries.

Instead of building complex filters or searching profiles manually, you describe the people you’re looking for — for example, senior data scientists at large tech companies in the US — and the API returns matching profiles as structured JSON.

You can search by role, seniority, industry, company characteristics, location, skills, and other signals. In this post, we’ll look at how the API works, how to make your first request, and how to write prompts that return useful results.

How to Scrape Algolia Search: The Hidden API Method

Thu, 13 Aug 2026 00:00:00 +0000

Understanding how to scrape Algolia begins with targeting the search endpoint instead of HTML pages. To scrape Algolia search, get the public search-only API key, application ID, and index name, then send requests directly to Algolia to retrieve clean JSON results.

This tutorial walks you through the process of building an Algolia scraping Python script. It also covers automated API key retrieval, pagination, and techniques for going beyond the 1,000-result limit.

How to Build an AutoGPT Agent with ScrapingBee

Tue, 11 Aug 2026 00:00:00 +0000

AutoGPT lets you build AI agents by connecting workflow blocks in its visual Agent Builder. You can collect an input, make an API call, run an LLM, and return structured data without writing the full orchestration code from scratch.

However, AI agents still need a reliable way to access the internet, especially when dealing with dynamic rendering, IP blocks, or anti-bot systems. ScrapingBee gives your AutoGPT agent a simple way to access live web data without building and maintaining your own scraping infrastructure.

Best Sitemap Crawlers in 2026 - Top Picks

Thu, 06 Aug 2026 00:00:00 +0000

The best sitemap crawlers turn a raw XML sitemap into something useful in minutes, catching broken links, redirect chains, and indexability bugs before they cost you rankings. But the phrase "sitemap crawler" hides two very different tools, and buying the wrong one is how teams lose a week.

One camp is SEO sitemap crawlers. You paste a sitemap URL and get an audit: status codes, canonicals, broken links, and what search engines will and won't index. The other camp is sitemap data pipelines, APIs and no-code builders that fetch every URL in a sitemap so you can pull structured data from each page.

Best Sneaker Proxies for Copping Drops in 2026

Thu, 06 Aug 2026 00:00:00 +0000

A drop is decided in seconds. The proxy you route through determines whether your sneaker bot completes checkout or sits in a queue while the size sells out.

This guide ranks the best sneaker proxies for copping drops in 2026 across ISP, residential, and datacenter pools, with honest notes on success rates against the hardest sneaker sites and the proxy types that actually work on drop day.

Key Takeaways

Oxylabs is the best sneaker proxy pick when you need high success rates on hot sneaker releases.
ISP proxies are the most consistent option for checkout-heavy flows on tough sneaker websites.
Datacenter proxies stay fast and cheap, but major sneaker sites flag those IP addresses quickly.
Free proxies get recycled and blacklisted, so they cost drops and burn accounts.

Quick Overview: Best Sneaker Proxies in 2026

Tool	Pricing
Oxylabs	Sneaker (ISP) proxies start from $16/month.
Decodo (Smartproxy)	Residential proxies start from $11.25/month.
IPRoyal	Residential proxies from $1.75/GB at volume (10GB tier runs $5.25/GB on a subscription and $5.51/GB pay-as-you-go).
MarsProxies	Sneaker proxies start from ~$0.90/proxy.
Hype Proxies	Sneaker (ISP) proxies start from $65/month.

The Best Sneaker Proxy Providers of 2026

Running a sneaker bot without quality proxies is just burning through tasks. Sites like Nike SNKRS, Foot Locker, and Adidas track request patterns at the IP level, and developers who understand how proxies work recognize why IP legitimacy is the deciding factor on drop day.

How to Scrape Uber Eats Data: Menus, Prices, and the Rules

Thu, 06 Aug 2026 00:00:00 +0000

If you want to scrape Uber Eats food data, start with two constraints: Uber's terms restrict automated collection, and Uber Eats only renders public menus after JavaScript runs and a delivery location is set. This guide shows how to collect public storefront fields such as menu items and prices with a rendered request, while keeping the scope limited, low-volume, and responsible.

Key takeaways

Uber's Terms of Use explicitly prohibit scraping its data. Treat that as a contractual limit. Keep any data collection low-volume and public-only. Talk to a lawyer for your specific use case.
There is no public Uber Eats data API. The Marketplace and Uber Direct APIs are partner-only.
Uber Eats is a JavaScript application. Any plain request usually returns an app shell or incomplete HTML without rendered menu data. This means you need to render JavaScript.
The site is geo-gated: no restaurants appear until you set a delivery address. For this reason, scraping is per-location, and you have to iterate addresses for scaling coverage.
Never scrape logged-in, account, or personal data. Stick to the public storefront, set a real location, use geo-matched residential proxies when you have a legitimate public-data use case, and keep request rates polite.

Can you scrape Uber Eats? What Uber's Terms say

Depending on the country, Uber's Terms of Use expressly prohibit scripts used to scrape. So, automated collection breaches those terms, regardless of the technical method used. Below is what the website states on one of its legal pages, under the restrictions section:

How to Use Playwright in Ruby for Scraping and Testing

Tue, 04 Aug 2026 00:00:00 +0000

Microsoft does not provide an official Playwright Ruby client. Instead, Ruby developers opt for the community-maintained playwright-ruby-client gem, which exposes the same Node.js Playwright engine through a Ruby API.

This tutorial shows how to use Playwright in Ruby, covering installation, scraping JavaScript-heavy pages, defining Rails system tests, how to reduce blocking, and when a web scraping API is a more viable option.

Key takeaways

Playwright has no official Ruby bindings. Use the community playwright-ruby-client gem, which controls the Node.js Playwright engine. Note that Node.js is also required.
Keep the gem and Node.js Playwright versions in sync. Pin the compatible driver version to avoid runtime failures and broken CI builds after Playwright updates.
Playwright’s locators and auto-waiting reduce flaky automation. One Rails developer reported cutting his system test failure rate from around 30% under Selenium to under 5% after switching to Playwright.
Use playwright-ruby-client for browser automation and scraping. Choose capybara-playwright-driver when replacing Selenium in existing Rails system tests.
Playwright Ruby handles browser automation, not scraping infrastructure. For large-scale scraping, consider a managed web scraping API instead of maintaining browser fleets, rotating proxies, and anti-bot evasion yourself.

Is Playwright available in Ruby?

No, Playwright does not have an official Ruby client. Microsoft maintains Playwright libraries for Node.js, Python, Java, and .NET, but Ruby is not supported. Also, Microsoft has not announced plans to release a native Ruby library.

Geolocation Is Now Available for Classic Proxies

Thu, 30 Jul 2026 00:00:00 +0000

ScrapingBee classic proxies now support geolocation across more than 40 countries. Instead of routing every request through a US IP, you can select a supported country in the request builder or pass the country_code parameter directly in your API request.

This makes it easier to scrape localized pricing, retrieve country-specific search results, test geo-specific content, and run multi-market scraping jobs without switching to premium proxies.

Why proxy location matters

Here is the annoying part: websites do not always show the same content to everyone.

/last30days: AI Agent Skill for Multi-Platform Research

Wed, 29 Jul 2026 00:00:00 +0000

Say you want to research a topic across the whole of the internet. You'll soon realize that different internet platforms have become like a set of gated buildings with different conversations, with a good number of them treating AI agents like college interns doing a survey and locking them out. This is where /last30days comes in.

What is /last30days?

/last30days is an AI agent skill developed by mvanhorn that automates searching and summarizing topics across multiple siloed platforms all around the internet.

How to Scrape TCGplayer: Prices, Data, and the Rules

Wed, 29 Jul 2026 00:00:00 +0000

If you are wondering how to scrape TCGplayer, the honest answer is that you should first understand what TCGplayer allows. TCGplayer's Terms of Service discourage scraping, and because the site loads prices with JavaScript, a simple Python request will not return the data you want. For most price tracking tasks, a free source like TCGCSV or another public API is the better option. When those sources do not cover your use case, you can responsibly collect data from public pages by rendering them with a web scraping API and keeping your requests low in volume.

Ruflo: Multi-Agent AI Orchestration for Claude Code & Codex

Wed, 29 Jul 2026 00:00:00 +0000

Ruflo (formerly Claude Flow) is an “AI agent meta-harness” designed to run multiplayer AI and make it quick and easy to coordinate a swarm of AI agents to accomplish a task. It acts as an execution layer that wraps around Claude Code or Codex. At the time of writing, the Ruflo GitHub repository has amassed over 66k stars, largely on the strength of offering a refreshing alternative to traditional agent frameworks.

Web Scraping with CloudProxy: Setup, Limits, Managed API

Mon, 27 Jul 2026 00:00:00 +0000

Web scraping with CloudProxy means running a free, open-source proxy pool on cloud accounts and asking its API for a working proxy whenever the scraper needs one. It is a good fit for cheap, light scraping, but every IP still comes from a data center, so protected sites may block it, and CloudProxy cannot render JavaScript.

CloudProxy handles the annoying infrastructure bits. It creates virtual machines, installs proxy software, checks which proxies are alive, and keeps the pool at the configured size. The scraper itself stays separate, so it can be written in Python, Node.js, or anything else that supports HTTP proxies.

How to Bypass CAPTCHA With Selenium in Ruby: A Realistic Guide

Sun, 26 Jul 2026 00:00:00 +0000

The most reliable way to bypass CAPTCHA with Selenium in Ruby is to avoid triggering it in the first place, not to solve it after it appears. Selenium exposes automation signals such as navigator.webdriver and often runs from flagged datacenter IPs, which is what brings up the CAPTCHA.

This guide shows how to harden a Ruby Selenium script, which modern CAPTCHA systems you cannot reliably solve, when a CAPTCHA-solving service may help, and the legitimate ways to handle CAPTCHA in your own automated tests.

How to Scrape Website Data Into Excel (2026 Guide)

Thu, 23 Jul 2026 00:00:00 +0000

The quickest way to scrape data from a website into Excel is to use Excel's built-in Power Query tool, which provides a From Web connector for pulling tables directly from web pages. But for complex websites that load content dynamically or block bots, you'll often need to call a scraping API from Power Query or Visual Basic for Applications (VBA) instead.

This guide walks through each method step by step, explaining when to use each one so that you can choose the best approach for your project.

Node Unblocker for Web Scraping: Setup & Limits (2026)

Thu, 23 Jul 2026 00:00:00 +0000

Node Unblocker is an open-source Node.js proxy library that fetches web pages on your behalf and rewrites their links so every subsequent request keeps flowing through your server. This tutorial explains what node-unblocker is, how to set it up, how to deploy it, how to point a scraper at it, and its limitations.

One caveat up front: node-unblocker still works, but its latest release (2.3.1) dates to mid-2024, and the project has seen only dependency bumps since. It's still a fine tool for simple proxying, and the second half of this article covers where it stops and what to use instead.

How to Bypass Kasada Anti-Bot When Web Scraping

Wed, 22 Jul 2026 00:00:00 +0000

To bypass Kasada, you must accurately mimic a real user across every detection layer. That means matching TLS, HTTP, and browser fingerprints, passing Kasada's JavaScript challenges and proof-of-work computations, and earning valid tokens, such as x-kpsdk-ct, which Kasada assigns only to successful requests.

Even then, Kasada is one of the hardest anti-bot systems to navigate, and a successful bypass can quickly become invalid. Largely because the system's primary defense, a bytecode virtual machine (VM) embedded in JavaScript (more on this later), continuously changes how challenges are served and validated. So, unless you're looking for a one-time fix, reliably bypassing Kasada is like trying to hit a moving target that keeps changing shape before you can finalize your aim.

Introducing Auto Mode: Automatic Configuration for Web Scraping

Wed, 22 Jul 2026 00:00:00 +0000

Scraping often starts with trial and error: enable JavaScript rendering, try a premium proxy, switch to stealth mode, and see what works. With the new Auto Mode, ScrapingBee can handle this process for you.

In this post, we'll explain how Auto Mode chooses the right scraping configuration, how much each request can cost, and how to keep that cost under control.

Stop guessing which mode to use

So, you want to scrape a page, but you may not know what it needs. Will a regular request work? Does the page require JavaScript rendering? Do you need a premium proxy or stealth mode? You could test every option yourself. But why guess when ScrapingBee can do it for you?

How to Scrape Trading Card Prices: A Developer's Guide

Tue, 21 Jul 2026 00:00:00 +0000

To scrape trading card prices, send the card's public page URL to a web scraping API that renders JavaScript and returns the final HTML, then parse the prices in Python. This method works across different games and marketplaces, including TCGplayer, Cardmarket, and PriceCharting. A couple of games offer a free API (Magic via Scryfall, Pokémon via the Pokémon TCG API), but official coverage is limited, so scraping is the more flexible way to get current prices across sites.

How to Use wget With a Proxy: Setup, Auth & SOCKS (2026)

Mon, 20 Jul 2026 00:00:00 +0000

Using wget with a proxy is simple once you know the basics. You can configure it from the command line, save the settings in a config file like ~/.wgetrc, or use environment variables. Which method you pick depends on whether you need a quick one-off command or a setup that persists across sessions.

In this guide, I'll show you how to make wget use a proxy server, handle authentication, work around the SOCKS5 limitation, and troubleshoot common errors. Whether you're behind a corporate firewall or just want extra privacy, this covers what you need.

Parsing TDMRep and AI.txt: Purpose-Based Scraping Controls

Mon, 20 Jul 2026 00:00:00 +0000

A robots.txt file answers only one question, whether a crawler may fetch this URL. That single bit no longer matches what site owners want to say in 2026. They want to allow search indexing but refuse model training, or to reserve text and data mining, and license it on request.

TL;DR

Purpose-based scraping controls express why you may use a page, not only whether you may fetch it. Reading them is now a build step.

Python Requests Proxy: Setup, Auth & Rotation (2026)

Wed, 15 Jul 2026 00:00:00 +0000

If you've ever messed around with scraping or automating requests in Python, you've probably run into the usual roadblocks. One minute everything's smooth, the next you're getting captchas, random 403 errors, or just radio silence from the site. That's usually the internet's polite way of saying: "Hey buddy, slow down." This is where proxies save the day. Setting up a Python Requests proxy, you can mask your real IP, spread your traffic over different addresses, and even slip past geo-restrictions that would normally block you.

Web Scraping Without Getting Blocked: 2026 Guide

Wed, 15 Jul 2026 00:00:00 +0000

The key to scraping without getting blocked in 2026 is to mirror what legitimate traffic looks like to the target server. In practice, that can be as basic as routing requests through high-quality residential proxies, or as resource-intensive as configuring headless browsers with realistic fingerprints and pacing your requests to mimic natural browsing behavior.

The catch? Websites have become far better at identifying automated traffic. They combine multiple detection techniques, including IP reputation, TLS and HTTP fingerprinting, browser fingerprinting, and behavioral analysis, and you must appear as a real browser across each layer, simultaneously. The goal is to blend with human traffic and avoid triggering anti-bot solutions altogether.

Declarative Web Automation: Transitioning from CSS Selectors to ReAct Agent Loops

Tue, 14 Jul 2026 00:00:00 +0000

For years, web automation meant writing CSS selectors by hand and repairing them on every redesign. The declarative alternative flips that: you describe the goal and the shape of the data, then let a ReAct loop plan the steps. This is the shift behind AI web automation, and it is real. It pays off in a narrower band than the demos suggest.

TL;DR

The shift from CSS selectors to ReAct agent loops pays off by layer, not by letting a model read every page.

How to Find Someone's IP Address Legally: 6 Methods (2026)

Tue, 14 Jul 2026 00:00:00 +0000

If you're wondering how to find someone's IP address legally, there are six realistic methods: checking email headers, using netstat during an active direct connection, reading your own server or app logs, running an IP lookup tool on an address you already have, asking the person directly, or using DNS to find a public website's IP. Each method works only in a specific context. An IP address shows network information, such as a country, rough region, and ISP, not a person's identity.

Best Pokemon Card APIs in 2026

Mon, 13 Jul 2026 00:00:00 +0000

Pokemon card prices move fast. A Charizard ex sitting at $40 on Monday can hit $65 by Friday after a strong tournament showing. If you're building a price tracker, a collection manager, or a flip-finder, you need a Pokémon card API that keeps up.

The good news is that several Pokémon card APIs exist in 2026 that cover the TCG well. The bad news is that each one has a ceiling. When you hit it, the only path forward is scraping the marketplaces directly. This guide covers the most useful APIs, explains where each one falls short, and shows how to scrape PriceCharting for the data no API exposes.

Introducing the interactive REPL for ScrapingBee CLI

Mon, 13 Jul 2026 00:00:00 +0000

The interactive REPL for ScrapingBee CLI is now available.

The ScrapingBee CLI already lets you run scraping, search, crawl, and extraction commands from your terminal. Now you can do it from a full-screen terminal interface built for testing requests, viewing results, monitoring credits, and reusing settings without leaving the command line.

Run scrapingbee without a subcommand to open the new interactive REPL, then send API requests, inspect responses, adjust defaults, and iterate faster from one terminal session.

10 Best Antidetect Browsers in 2026 (Tested + Free Picks)

Thu, 09 Jul 2026 00:00:00 +0000

Most antidetect browser roundups just repeat the vendors' spec sheets. That makes it hard to tell which tools hold up. So we tested. We ran all 10 below through three fingerprint checkers (Pixelscan, Iphey, and CreepJS) on clean residential proxies, and re-checked every price and free tier for this update.

TL;DR

For most teams, the best antidetect browser is Multilogin. It is built for high-stakes, multi-account work that needs top fingerprint quality and stability.

The complete Crawl4AI guide for LLM-ready data and AI web crawling

Wed, 08 Jul 2026 00:00:00 +0000

Crawl4AI is an open-source, async Python crawler built on Playwright that turns web pages into clean, LLM-ready Markdown (and structured JSON) for RAG pipelines and AI agents. It is Apache 2.0 licensed and, with north of 70,000 GitHub stars… yes, one of the most-starred web crawlers in the ecosystem.

If Scrapy or BeautifulSoup has handed you raw HTML and then spent an afternoon stripping nav bars and cookie banners before an LLM could read it, I'll say Crawl4AI is the tool that helps you skip that step.

The complete guide to web scraping with Selenium and Python

Wed, 08 Jul 2026 00:00:00 +0000

Selenium drives a real browser from Python, so it can render JavaScript, click, scroll, and log in on pages that a requests script can only ever see as an empty shell. That single capability is why it survives every "is Selenium dead yet?" think-piece.

Selenium has been the most portable way to run anything in a browser with Python for over a decade. I've used Selenium for everything from a five-line screenshot script to a proxy-rotated scraper running across a Docker grid.

7 Best Proxies for YouTube in 2026

Tue, 07 Jul 2026 00:00:00 +0000

YouTube inherits Google's IP reputation database, which means a proxy flagged on any Google service is already flagged on YouTube. Datacenter ranges are pre-burned, public residential pools are already known, and free proxies died years ago.

This guide ranks the best proxies for YouTube in 2026 across residential, mobile, and ISP pools, with honest notes on what actually works.

Key Takeaways

Bright Data is the best overall choice for residential proxies for YouTube scraping, with 400M+ IPs that keep block rates low at scale.
Residential proxies pass YouTube's IP reputation checks; datacenter proxies share flagged ranges and get blocked quickly.
Mobile proxies carry the highest trust score on YouTube because most real users access YouTube content from mobile devices.
Teams who want reliable YouTube data without managing proxy rotation, session handling, and ban detection should evaluate a managed scraping API instead.

Quick Overview: Best YouTube Proxies in 2026

Provider	Pricing
Bright Data	Residential proxies start from $4.00/GB, datacenter proxies start from $1.40/IP, ISP proxies start from $1.8/IP
Oxylabs	Residential proxies start from $2.5/GB, ISP proxies start from $1.2/IP, datacenter proxies start from $0.7/IP, mobile proxies start from $3.5/GB
Smartproxy	Residential proxies start from $2/GB, ISP proxies start from $0.27/IP, mobile proxies start from $2.25/GB, datacenter proxies start from $0.02/IP
IPRoyal	Residential proxies start from $7.00/GB, ISP proxies start from $1.80/proxy, mobile proxies start from $10.11/GB, datacenter proxies start from $1.57/proxy
Rayobyte	Residential proxies start from $0.50/GB, ISP proxies start from $4.60/IP, mobile proxies start from $0.50/GB, datacenter proxies start from $0.45/IP
iProxy Online	Basic $9/device/month, Pro $12.5/device/month
Webshare	Proxy Server from $0.0299/proxy, Static Residential from $0.27/proxy, Rotating Residential from $3.50/GB (promotional pricing, subject to change)

The 7 Best Proxy Providers for YouTube in 2026

1. Bright Data - Best Overall for YouTube Scraping at Scale

The primary reason Bright Data leads this list is pool size: 400M+ residential IPs means lower IP reuse per target domain, which directly reduces block rates on sustained YouTube scraping runs. Pool size and rotation interval are the two variables most directly affecting YouTube block rates, and rotating and residential proxies for web scraping shows why this matters more than any other spec on a platform with YouTube's level of IP reputation scoring.

How to Build a Target Price Tracker in Python

Tue, 07 Jul 2026 00:00:00 +0000

To build a Target price tracker in Python, you need to create a loop that periodically scrapes a target.com product page, pulls the price out of the rendered HTML, saves it with a timestamp, and compares each new check against the last one to catch price changes.

The hard part is dealing with Target's anti-bot protection and JavaScript-rendered pricing, which is why in this guide, we fetch the page through ScrapingBee, a web scraping API, and only then use Python to build the rest of the tracker.

How to Track Competitor Prices Using Web Scraping (Python Tutorial)

Mon, 06 Jul 2026 00:00:00 +0000

Competitors can reprice several times a day, and checking their pages by hand doesn't scale. This guide shows how to track competitor prices using web scraping in Python: you fetch product pages from Amazon, Walmart, and most other retailers, extract the price and stock fields, store a snapshot on every run, and get a Slack or email alert when a competitor undercuts you.

TL;DR

You can track competitor prices with one Python script and a scraping API like ScrapingBee. You don't need a subscription tool unless you track more than a few hundred SKUs. How it works:

Web Scraping Single Page Applications with Python & Headless Browsers

Mon, 06 Jul 2026 00:00:00 +0000

When it comes to web scraping single page application architecture, dealing with heavy JavaScript rendering can be tricky. Modern websites built with frontend frameworks like React, Vue, or Angular rely heavily on dynamic APIs. Because standard HTTP requests only download the initial HTML skeleton without executing the JavaScript, you need specialized solutions to fully render the page, trigger those AJAX calls, and extract the data you actually want.

TL;DR

To scrape single page applications, you need to use a headless browser to execute the JavaScript. Set up Python with a tool like Selenium, wait for the dynamic elements to fully load, and then parse the rendered HTML to extract your target data.

Web Scraping with AWS Lambda: 2026 Guide (Python and Java)

Mon, 06 Jul 2026 00:00:00 +0000

Serverless simply means running code without managing the server yourself. In AWS, Lambda is Amazon's serverless compute service, and it lets you run small pieces of code only when they are needed.

With AWS Lambda, you can write a function, choose what triggers it, and AWS handles the infrastructure behind it. Lambda functions can be triggered by different events, including:

HTTP requests via API Gateway
scheduled jobs via EventBridge
messages in SQS
file uploads to S3
events from other AWS services

In this guide, we will build and deploy a web scraper on AWS Lambda using Python, AWS SAM, BeautifulSoup, S3, and ScrapingBee. We will also include a Java 21 Lambda version for teams that prefer the JVM.

New Gemini API endpoint for AI-powered web data extraction

Wed, 01 Jul 2026 00:00:00 +0000

ScrapingBee now has a new Gemini API endpoint for AI-powered web data extraction.

You can send prompts to Google Gemini using your existing ScrapingBee account and API key, then get structured AI responses back as plain text, Markdown, and citations. This makes it easier to add AI analysis, summarization, and insight extraction to your scraping workflows without setting up separate infrastructure.

Use it to summarize web data, extract facts from pages, compare products, analyze reviews, support RAG pipelines, or build AI agents that need current web information with source attribution.

How to Use GoSpider for Web Crawling

Mon, 29 Jun 2026 00:00:00 +0000

GoSpider is a web crawling CLI tool known for its speed. It is written in Go and can crawl a target in parallel, discover multiple URLs, and handle several requests and domains at the same time.

The project lives on GoSpider on GitHub, but the important thing to understand is that GoSpider is a crawler, not a full web scraper. It can help you find internal links in a page, but if you want product names, prices, article text, or tables, you will usually pass the crawled URLs into another scraper like Colly.

Amazon Pricing endpoint: All offers, all sellers, one request

Sat, 27 Jun 2026 00:00:00 +0000

ScrapingBee now has a new Amazon Pricing endpoint that returns complete offer data for any Amazon ASIN in one request.

You can use it to retrieve the Buy Box winner, third-party seller offers, new and used prices, FBA and merchant-fulfilled options, shipping costs, Prime eligibility, and seller ratings.

The endpoint is designed as the next step after Amazon search and product lookup. Find a product, get its ASIN, then use the Pricing endpoint to see the full competitive offer stack behind it.

New Google API features: Ads extraction and precise geolocation

Sat, 27 Jun 2026 00:00:00 +0000

ScrapingBee is adding two new ways to get more precise data from Google results: paid ads extraction and coordinate-based geolocation targeting.

You can now extract Google Ads directly from SERPs with search_type=ads and run Google searches from an exact point on the map using latitude, longitude, and radius parameters.

These updates are built for teams that need more control over Google data: PPC monitoring, competitor research, local SEO audits, and production search pipelines.

Best SEO Proxies for Rank Tracking in 2026

Fri, 26 Jun 2026 00:00:00 +0000

SEO data is only as good as the proxy that pulled it. Datacenter IPs return CAPTCHAs, generic residential pools return rankings for the wrong city, and unrotated IPs get banned within the hour.

This guide ranks the best SEO proxies for rank tracking in 2026 - with honest notes on geo-targeting depth, residential pool quality, and the point where running your own proxy stack stops being worth the engineering time.

How to use curl_cffi for web scraping in Python

Fri, 26 Jun 2026 00:00:00 +0000

curl_cffi is a Python HTTP client for web scraping that impersonates a real browser's TLS and HTTP/2 fingerprint. That way, the anti-bot systems that block plain requests on sight let it straight through.

The whole pitch is one argument: install curl_cffi, then pass impersonate="chrome", and your request now negotiates its TLS handshake the way Chrome does, rather than the way Python does.

In this guide, we dive deep into what curl_cffi is, how to install it and how to make your first impersonated request. Then, we look at a complete before-and-after example and the honest point at which curl_cffi stops working, and you need something else.

How to Scrape Apple App Store Data: 4 Methods

Thu, 25 Jun 2026 00:00:00 +0000

There are four ways to scrape Apple App Store data. Two methods rely on Apple's official endpoints. Another uses open-source Python libraries, which are wrappers around those endpoints. The fourth is a web scraping API that extracts data directly from the App Store website.

Each approach comes with different trade-offs around data coverage, reliability, rate limits, and implementation effort. In the sections below, I'll walk through all four methods and share the full code examples I tested on my machine.

AI Web Scraping with Python: A Practical 2026 Guide

Wed, 24 Jun 2026 00:00:00 +0000

AI web scraping with Python means using a large language model to pull structured data out of a web page by describing what you want in plain English, instead of writing and maintaining brittle CSS or XPath selectors. You point it at a page, say "return every product with its name and price," and get back clean JSON. There are three ways to do this: as a parameter on a managed scraping API, with an AI-native open-source framework you run yourself, or by gluing an LLM onto a scraper you already have.

How to Scrape Crypto Prices With Python

Wed, 24 Jun 2026 00:00:00 +0000

Web scraping crypto prices with Python is possible using the requests and BeautifulSoup packages. However, using an API is the more practical solution for most cases. With scraping, you may encounter issues because the websites might be JavaScript rendered, or employ anti-bot defenses, which you can overcome using ScrapingBee.

Read on to find out how to get crypto prices via API and by scraping. We also finish with an example of building a crypto price tracker with email alerts.

ScrapingBee Increases Concurrency Up to 5x Across All Plans

Wed, 24 Jun 2026 00:00:00 +0000

ScrapingBee now supports up to 5× more concurrent requests across all plans.

This upgrade is live and has been applied automatically to every account. No settings to change, no migration, no extra steps. You can now run more requests in parallel, finish large scraping jobs faster, and spend less time waiting in queues.

Behind this change is a major infrastructure upgrade built to give every ScrapingBee user more throughput and more room to scale.

How to Parse XML in Python: ElementTree, lxml, xmltodict

Tue, 23 Jun 2026 00:00:00 +0000

The most pragmatic way to parse XML in Python is to use the built-in ElementTree module. Consider lxml when you need more speed or full XPath, xmltodict when you want a plain dictionary, and defusedxml when parsing untrusted content.

XML files are rarely already on your disk. In practice, you need to parse an API response, an RSS feed, or a sitemap. All of these you need to fetch first.

How to Scrape Target.com Product Data Without Getting Blocked

Tue, 23 Jun 2026 00:00:00 +0000

This guide shows you how to scrape Target product data in two ways. The fastest path is Target's internal RedSky JSON API, which returns structured data without page rendering. The other is by rendering the webpage and extracting the fields. We'll walk through both approaches with working Python code and show you how to route requests through proxies, which you'll need because Target strictly blocks automated traffic.

Can you legally scrape Target.com?

Scraping Target product data that anyone can access without logging in is lower risk than scraping private or login-gated content. However, Target's Terms of Use restrict automated access to its data, so respect its robots.txt and never scrape post-login content. As a simple check, if you can access a page in an incognito browser without logging in, it's considered public.

How to bypass Cloudflare in Golang in 2026 (6 tested methods)

Mon, 22 Jun 2026 00:00:00 +0000

Bypassing Cloudflare in Golang means getting your Go HTTP client or headless browser past three checks (the TLS JA3/JA4 fingerprint, the JavaScript challenge, and the Turnstile CAPTCHA).

A plain net/http request fails almost every time because Go's TLS signature is trivial to flag, and the request carries a datacenter IP with no browser behavior.

Below are six tested methods, ordered from most hands-on to most managed, each with corresponding Go code.

How to Bypass DataDome: A Complete Guide for Web Scraping

Mon, 22 Jun 2026 00:00:00 +0000

To bypass DataDome, your scraper must fully mirror a real user, satisfying all detection layers simultaneously. The catch? The more layers you account for, the closer you get to running a full browser environment, at which point, scaling becomes challenging. No wonder Benjamin Fabre, CEO of DataDome, reiterates that bypassing DataDome at scale is virtually impossible.

That doesn't mean public data is off the table, but that you've got two realistic approaches depending on your scale: a DIY stack or a managed API.

How to Parse Datetime Strings in Python with Dateparser

Mon, 22 Jun 2026 00:00:00 +0000

In Python, to parse a datetime object from a string, you can use one of the datetime.strptime(), datetime.fromisoformat(), and dateutil.parser.parse() methods for formatted dates, and the dateparser library for messy, relative, natural-language dates. Dateparser works very well with the kind of dates you'd get by scraping, parsing logs, or pulling from an API or a CSV file. In this blog, we'll cover 5 available tools to parse datetime strings in Python and help you pick the best one for your job.

How to Scrape Infinite Scroll Websites Using Puppeteer

Mon, 22 Jun 2026 00:00:00 +0000

Web scraping methods must adapt based on how a website displays its data. Today, many single-page applications (SPAs) and social media platforms rely on infinite scrolling, loading new content continuously as the user scrolls down the page.

While this provides a seamless user experience, it makes extracting data much more complicated because traditional static HTML parsers cannot capture content that hasn't rendered yet. Creating a Puppeteer infinite scroll script allows you to bypass these limitations by emulating real user behavior. By the end of this article, you will know exactly how to automate this process and scrape dynamic data seamlessly.

How to Web Scrape with HTTPX and Python

Mon, 22 Jun 2026 00:00:00 +0000

HTTPX is a modern Python HTTP client (sync, async and HTTP/2) and a foundation for web scraping. However, picking HTTPX is the easy part. The decisions that determine whether your scraper scales come right after: how you set timeouts, how you retry, how you rotate proxies, and how you run requests concurrently.

In this guide, we'll build your resilience on HTTPX, covering requests, timeouts, async, proxies, and three retry routes that hold up under real load.

TLS Fingerprinting: How It Works and How to Bypass It With Burp Suite

Fri, 19 Jun 2026 00:00:00 +0000

TLS fingerprinting identifies the client behind an HTTPS request by analyzing the Transport Layer Security (TLS) handshake before the server sends any HTML. JA3 and JA4 are common ways to turn that handshake into a repeatable fingerprint. In this guide, you will learn how TLS fingerprints are built, why Burp Suite traffic can get flagged, and how to use burp-awesome-tls to change Burp's ClientHello and verify the before-and-after JA3 and JA4 results.

How to Set Up an Alert When a Webpage Changes

Thu, 18 Jun 2026 00:00:00 +0000

Tracking webpage changes is useful when you want to know when a price changes, a job listing opens, or a product comes back in stock.

You can use a no-code website monitoring tool for this, and that is often enough for simple alerts. But if you want more control over how the page is fetched, which part of the page is monitored, where alerts are sent, and how often checks run, you can build your own monitor with Python and ScrapingBee.

Best Residential Proxy Alternatives for Web Scraping in 2026

Wed, 17 Jun 2026 00:00:00 +0000

Residential proxies are IP addresses assigned by internet service providers to real devices in homes and offices. They're popular with proxy users because they look like regular internet users to target sites, making them harder to detect and block compared to datacenter proxies. As anti-bot systems grow more sophisticated in 2026, developers increasingly face a choice: spend time managing residential proxy pools and navigating IP blocks, or find smarter alternatives that handle the complexity automatically.

How to Use Selenium Wire in Python (2026 Guide)

Wed, 17 Jun 2026 00:00:00 +0000

Selenium Wire is a Python library that extends Selenium to give you direct access to the HTTP and HTTPS requests your browser makes. You can read response bodies, change headers on the fly, and route traffic through authenticated proxies, all from your existing Selenium code. One thing to know up front: the original project has been unmaintained since January 2024, so this guide also covers the maintained fork and your alternatives.

How to Use Web Scraping for Lead Generation

Wed, 17 Jun 2026 00:00:00 +0000

Web scraping for lead generation is the automated extraction of public business data to build a prospect list. The catch with lead scraping is that the sources with the best lead data are also the hardest to scrape.

When you're targeting job boards, map listings, or industry-specific directories, JavaScript rendering, datacenter IP blocks, and CAPTCHA challenges all come into play.

In this guide, I'll cover which public sources contain what lead data, how to pick the right source for your use case, and walk through the full code for scraping a popular public directory at scale.

How to Scrape Yandex Search Results: Python & Node.js

Mon, 15 Jun 2026 00:00:00 +0000

To scrape Yandex search results, you need more than a basic requests.get() call and a couple of CSS selectors. Yandex actively filters automated traffic, challenges suspicious requests with SmartCaptcha, and may return a captcha page with HTTP status 200, which means your scraper can fail without raising an obvious error.

This tutorial shows how to build a Yandex scraper with ScrapingBee's generic HTML API. We will start with the proxy setup and request parameters, then parse organic titles, links, and snippets with Python and BeautifulSoup. We will also cover AI extraction and extract_rules for cases where Yandex changes its markup, loop through multiple result pages, remove duplicates, and export the collected data to CSV.

How to Web Scrape HTML Tables With Python: Step-by-Step

Sun, 14 Jun 2026 00:00:00 +0000

To learn how to web scrape a table in Python, start with the method that matches the page. pandas.read_html() is the fastest option for clean static tables and returns a list of DataFrames with very little code. BeautifulSoup with requests gives you precise control over irregular rows, headers, and cells. If JavaScript creates the table after page load, or the site blocks basic requests, you must render the page before parsing it. No single tool wins every fight, buddy, but choosing the right one saves plenty of unnecessary suffering.

Best Web Scraping APIs For JavaScript-Rendered Sites in 2026

Fri, 12 Jun 2026 00:00:00 +0000

Most modern websites load content dynamically. React, Angular, and Vue applications don't serve finished HTML, they render it in the browser after JavaScript executes. Traditional scrapers that fetch raw HTML miss entire pages of data. Finding the best JavaScript web scraper means finding a tool that can execute JavaScript, wait for content to load, and return the rendered DOM.

This guide compares the leading options to help you identify which one fits your stack and build best web scraping JavaScript workflows on a reliable web scraping API foundation.

7 Best C# Web Scraping Libraries in 2026 (Compared & Ranked)

Thu, 11 Jun 2026 00:00:00 +0000

Choosing the right C# web scraping library in 2026 means understanding a fundamental shift: most production websites now deploy sophisticated anti-bot detection that traditional parsing libraries can't handle. Html Agility Pack still works for static HTML, but modern JavaScript-heavy sites require browser automation or managed API solutions that can bypass Cloudflare, handle CAPTCHAs, and rotate proxies at scale.

In this guide, I'll compare the top C# web scraping library options available in 2026. We'll cover parsing libraries like Html Agility Pack and AngleSharp, browser automation frameworks including Playwright and Selenium, and API solutions like ScrapingBee. You'll learn when to use each tool, how they handle JavaScript rendering and anti-bot detection, and which solution makes sense for your specific use case.

Best Patreon Scraper Tools in 2026

Thu, 11 Jun 2026 00:00:00 +0000

The best Patreon scraper in 2026 depends heavily on what you're trying to do with the data. A Patreon scraper collects publicly available creator data such as membership tiers, patron counts, pricing, post activity, and creator profiles, at a scale and speed that manual research can't match.

The Patreon scraping is harder than it used to be: Patreon loads most of its content dynamically via JavaScript, uses anti-bot systems that block basic HTTP requests, and rate-limits aggressive crawlers. Whether you need a scraper for Patreon analytics pipelines or a no-code tool for creator research, the right solution depends on your scale, technical setup, and compliance requirements.

Best AliExpress Scrapers in 2026

Wed, 10 Jun 2026 00:00:00 +0000

Finding the best AliExpress scraper in 2026 is harder than it used to be. AliExpress loads product listings, pricing, reviews, and seller information dynamically through JavaScript that renders after the initial page load. On top of that, it runs aggressive anti-bot protection and rate limits that block basic HTTP scrapers.

The leading AliExpress scraping tools differ across four key criteria: scalability, reliability under load, compliance posture, and total cost. Whether you're building a price tracker, pulling catalog data, or researching suppliers, the right tool depends on your use case, and a solid web scraping API is what most production workflows are built on.

How to Scrape ZoomInfo Data Safely and at Scale

Wed, 10 Jun 2026 00:00:00 +0000

Scraping ZoomInfo data means dealing with premium proxy requirements, aggressive fingerprinting, and strict legal limits. If you're trying to extract company profiles at scale, you can only access public data. That includes company name, description, headquarters, employee count, stock symbol, and listed phone numbers. Contact-level data (emails, individual phone numbers, tech stacks) is behind a login wall, and automating access to it violates ZoomInfo's Terms of Service and anti-hacking laws like the CFAA.

How to bypass reCAPTCHA & hCaptcha when web scraping

Tue, 09 Jun 2026 00:00:00 +0000

CAPTCHAs are one of the biggest obstacles in modern web scraping. Systems like reCAPTCHA and hCaptcha use browser fingerprinting, behavioral analysis, and invisible scoring to detect automation and trigger CAPTCHA challenges during scraping workflows. In this guide, we cover the different types of challenges you will encounter and provide actionable strategies for finding a reliable hCaptcha bypass and solving reCAPTCHA programmatically.

TL;DR

The most effective way to avoid CAPTCHAs during web scraping is to prevent them from appearing in the first place using high-quality residential proxies and properly configured headless browsers. For websites with strict security thresholds that still trigger CAPTCHAs, integrating a programmatic captcha solver API as a reliable fallback keeps your data extraction pipelines running smoothly.

Master Web Scraping With JavaScript and Node.js in 2026

Wed, 03 Jun 2026 00:00:00 +0000

Web scraping with JavaScript isn't one problem. It's three problems pretending to be one: getting the HTML, parsing it and not getting blocked while doing it at scale. Most tutorials cover the first in detail, gesture toward the second, and skip the third. That's why scrapers built from those tutorials work in dev and break a few weeks later.

This guide is the version of that lesson I wish I had when I started JavaScript web scraping.

Top Instant Data Scraper Tools & Extensions in 2026

Wed, 03 Jun 2026 00:00:00 +0000

These days, data is everything, and the ability to extract information instantly from websites has become an indispensable asset. The best instant data scraper tool can be used for market research, keeping a vigilant eye on competitors, or harnessing real-time insights.

But there's the truth: not all of the data scrapers are made equal. If you want to gather the information without delay, you need to pick the right scraper and pair it with the best web scraping extension.

10 Best Google News APIs in 2026

Tue, 02 Jun 2026 00:00:00 +0000

If you need a Google News API in 2026, there is no official one. Google shut down the original Google News API years ago, so developers now rely on three alternatives: scraping APIs, SERP APIs, and news aggregator APIs.

The best Google News API alternative depends on what you need to build. Scraping APIs give you more control over extraction and scaling. SERP APIs return structured Google News results faster with less setup. News aggregator APIs pull articles from publishers directly, but they do not reflect Google News rankings.

How to Scrape the New York Times

Tue, 02 Jun 2026 00:00:00 +0000

Scraping the New York Times with Python can be useful for research, trend tracking, news monitoring, and building datasets for NLP or sentiment analysis. But compared with scraping a simple blog, NYT pages are harder to work with because of paywalls, anti-bot protections, region-aware responses, and occasional JavaScript-rendered content.

In this guide, you'll learn how to scrape NYT section pages and article pages using BeautifulSoup and ScrapingBee. We'll show how to collect headlines, summaries, links, and article body text where it's accessible, and we'll also cover the practical limits of scraping NYT posts reliably.

How to Scrape WooCommerce Product Data at Scale

Thu, 28 May 2026 00:00:00 +0000

If you're learning how to scrape WooCommerce product data, one of the first things you'll notice is how much store setups can vary. Different themes, custom fields, product variations, and anti-bot protections can all affect how product information is loaded and how easy it is to extract. In some stores, the data is available directly in the HTML. In others, pricing, stock status, or variation details are loaded dynamically.

This guide explains how to scrape WooCommerce product data more reliably, which product fields to extract, and what to look for before scaling your workflow. You'll also see a practical approach for handling JavaScript-heavy pages and returning structured product data in a reusable format.

Python Web Scraping Tutorial for 2026 with Examples & Best Practices

Thu, 28 May 2026 00:00:00 +0000

In this Python web scraping tutorial, you’ll learn how to collect data from web pages with Python, parse the HTML, and turn the results into structured data you can use in scripts, reports, or applications.

We’ll start with the beginner-friendly stack: Requests for downloading pages and Beautiful Soup for extracting data from HTML. From there, we’ll look at when to move beyond simple scripts and use tools like Playwright for dynamic pages, Scrapy for larger crawling projects, and scraping APIs for harder targets.

10 Best Tools for Data Extraction in 2026

Wed, 27 May 2026 00:00:00 +0000

Data extraction tools help businesses collect data from websites, APIs, documents, and databases automatically. In 2026, these tools are no longer limited to simple web scraping. Modern data teams now run automated extraction pipelines that continuously collect, structure, and sync data into analytics systems and warehouses.

At the same time, extracting data has become more difficult. Many websites use JavaScript rendering, anti-bot protection, rate limits, and dynamic APIs that break fragile scraping setups. Enterprise teams also need reliable ETL and ELT pipelines that move extracted data into platforms like Snowflake, BigQuery, and Redshift without constant maintenance.

Web Scraping Yellow Pages in 2026 with ScrapingBee

Wed, 27 May 2026 00:00:00 +0000

Web scraping Yellow Pages can unlock access to a rich database of business listings. With minimal technical knowledge, our approach to scraping HTML content extracts data that you can use for lead generation, market research, or local SEO.

Like most online platforms rich with useful coding data, Yellow Pages present JavaScript-rendered content and anti-scraping measures, which often stop traditional scraping efforts. Our HTML API is built to export data while automatically handling restrictions by loading dynamic content and implementing smart proxy rotation to ensure consistent access with minimal coding skills.

8 Best Scrapy Alternatives for 2026

Thu, 21 May 2026 00:00:00 +0000

There are more Scrapy alternatives worth considering in 2026 than ever before. Scrapy is fast, extensible, and well-documented, but it is not the right fit for every workflow, and the landscape of both direct and indirect alternatives has grown significantly.

JavaScript-heavy sites, aggressive anti-bot systems, and the overhead of managing your own scraping infrastructure are the three most common reasons teams start looking at alternatives to Scrapy. Some want a different framework. Others want to skip the infrastructure entirely and use a managed API.

Web Scraping Dynamic Content With Python (JS Rendering Guide)

Tue, 19 May 2026 00:00:00 +0000

Web scraping dynamic content with Python gets tricky when the page you see in the browser is not the page your scraper receives.

Prices, reviews, stock levels, and search results often appear only after JavaScript runs, which is why tools like requests and BeautifulSoup can come back with half-empty pages.

In this guide, we'll show you how to handle that gap with ScrapingBee's JavaScript rendering API, including waits, clicks, infinite scroll, and structured extraction.

How to Find All Pages on a Website (Multiple Methods)

Mon, 18 May 2026 00:00:00 +0000

Finding all the URLs on a website is a common first step in web scraping, SEO analysis, site auditing, and automation workflows. In this guide, we'll cover several practical ways to discover pages on a domain: from Google search operators and XML sitemaps to crawling tools like Screaming Frog and custom Python scripts. You'll learn how to build a reliable list of website URLs efficiently, including methods that work even on large or partially indexed sites.

How to Scrape eBay Using Python in 2026: Step-by-Step Guide

Mon, 18 May 2026 00:00:00 +0000

Learning how to scrape eBay requires navigating complex HTML structures and aggressive anti-bot protections. To extract data reliably, a scraper must handle JavaScript rendering and rotate proxies to avoid IP blocks.

This guide demonstrates how to build a functional eBay scraper to track prices, research product trends, and aggregate seller data.

Quick Answer (TL;DR)

You can scrape eBay with Python in just a few lines of code using ScrapingBee. Simply initialize the client with your API key, set the render_js parameter to true, and specify the eBay URL you want to scrape. ScrapingBee handles JavaScript rendering and proxy rotation automatically, allowing you to focus on extracting the data you need.

9 Best Walmart Scrapers for 2026

Fri, 15 May 2026 00:00:00 +0000

Finding the best Walmart API gets confusing fast. Walmart has official APIs. Scraping vendors also sell "Walmart APIs" that are really scraping endpoints. Both can be valid, but they solve different problems. In this guide, I compare official options and the best Walmart scraping API options for three common jobs: pulling product details, collecting search results, and running price tracking over time. I also cover how a web scraping API fits when you need flexibility inside my own scripts.

How to Collect Data for Machine Learning: A Step-by-Step Guide

Thu, 14 May 2026 00:00:00 +0000

In artificial intelligence, there is an ironclad rule that every engineer learns early: "Garbage in, garbage out." Your machine learning (ML) model is only as sophisticated as the data you feed it. You can deploy the most advanced neural network architecture in existence, but if the training data is noisy, biased, or incomplete, the predictions will be worthless.

While algorithms often get all the hype, professional data scientists actually spend roughly 80% of their time on data collection and preparation. Learning how to collect data for machine learning is the foundation of the entire pipeline. This guide walks you through the best data sources, modern extraction methods, and essential preparation steps to ensure your models perform at their peak.

ScrapingBee CLI: Your Terminal's New Best Friend for Web Data & LLMs

Thu, 14 May 2026 00:00:00 +0000

A CLI for web scraping sounds like a small thing. Then the real project starts. One script fetches pages. Another handles retries. A third one turns results into CSV. Crawling needs its own setup. HTML cleanup becomes a mini side quest. Then someone asks, "Can we feed this into the RAG pipeline?" and suddenly there is a whole new pile of glue code nobody wanted to own.

The annoying part is that most teams are not trying to reinvent scraping infrastructure. They just need fresh web data that lands in a useful format, runs reliably, and does not require babysitting proxies, JavaScript rendering, broken batches, or a cron job that only works when Mercury is in retrograde.

4 Best Stock Market APIs for 2026

Wed, 13 May 2026 00:00:00 +0000

When you are searching for the best stock market APIs, you are likely looking for a balance between speed, data depth, and cost-effectiveness. Whether you need real-time data for a high-frequency trading bot, historical datasets for backtesting, or seamless trading integrations, the market in 2026 offers a variety of specialized tools.

In this guide, I will take a developer-first look at the top contenders, comparing traditional financial feeds with alternative scraping approaches to help you build robust finance-driven applications.

How to Scrape Data from Realtor.com

Wed, 13 May 2026 00:00:00 +0000

Realtor.com is the second-largest real estate listing website in the US, housing millions of properties. Extracting this treasure trove of information is essential for deep market research, investment analysis, and spotting undervalued properties before your next purchase. However, Realtor's strict anti-bot measures make manual data collection nearly impossible.

This tutorial will show you exactly how to scrape real estate data from search results pages using Python and Selenium, while successfully bypassing the bot detection used by realtor.com.

9 Best Web Scraping for Mac in 2026

Tue, 12 May 2026 00:00:00 +0000

The best web scraper Mac users can choose depends on the workflow. Desktop tools feel simple and visual, especially for one-off jobs. Cloud APIs scale better, automate cleanly, and handle JavaScript-heavy pages without babysitting a laptop. Let's compare both so a web scraper for Mac fits the real use case, not just the feature checklist.

Quick Answer: What is the best Mac Scraper?

For developers, ScrapingBee is the best cloud option because it combines JavaScript rendering and proxy rotation behind an API, so automation works the same on macOS, Linux, or CI. That flexibility is the point. A solid web scraping API avoids heavyweight desktop installs and scales past "my Mac is awake" constraints.

Cloudflare Scraper: How to Bypass Cloudflare With ScrapingBee API

Tue, 12 May 2026 00:00:00 +0000

Having an effective Cloudflare scraper opens a whole new world of public data that you can extract with automated connections. Because basic scrapers fail to utilize dynamic fingerprinting methods and proxy rotation, they cannot access many protected platforms due to rate limits, IP blocks, and CAPTCHA challenges.

In this guide, we try to help small businesses, developers, and freelancers to reliably fetch pages protected by Cloudflare using our beginner-friendly HTML API. Here, we will explain the common JavaScript rendering challenges, device fingerprinting issues, and how our Python SDK resolves them under the hood through the provided API parameters. Follow the steps to build a small, testable proof of concept before scaling.

How to Scrape Google Scholar with Python: A ScrapingBee Guide

Fri, 08 May 2026 00:00:00 +0000

If you're trying to figure out how to scrape Google Scholar with Python, you're in the right place.

You already know that Google Scholar is one of the most useful public sources for academic search data. You can use it to track research topics, collect article metadata, review citation counts, find author profiles, and build internal research tools.

But scraping Google Scholar is actually not as simple as it looks, with anti-scraping measures, such as blocking suspicious IPs. That is why I prefer using ScrapingBee for tasks like these.

How to scrape Google search results data in Python easily

Fri, 08 May 2026 00:00:00 +0000

Google search engine results pages (SERPs) can provide a lot of important data for you and your business but you most likely wouldn't want to scrape it manually. After all, there might be multiple queries you're interested in, and the corresponding results should be monitored on a regular basis. This is where automated scraping comes into play: you write a script that processes the results for you or use a dedicated tool to do all the heavy lifting.

Your Guide to Qwen-Agent: Build Powerful AI Agents with Tools & RAG

Tue, 05 May 2026 00:00:00 +0000

In this guide, we will walk through Qwen-Agent and how to use the qwen-agent framework to build AI agents with tools, RAG, Code Interpreter workflows, and external web data.

Here's the thing: calling a model is easy, but building an agent around it gets messy fast. Once you add function calling, custom tools, document retrieval, code execution, browser-style workflows, and state management, a small demo can turn into a homemade framework you now have to maintain.

How to Scrape YouTube Comments for Insights and Analysis

Thu, 30 Apr 2026 00:00:00 +0000

Scraping YouTube comments is one of the most practical ways to collect large-scale public opinion data, and demand for it has grown alongside YouTube's position as the largest video platform on the internet. Comment sections capture unfiltered reactions to products, political events, health topics, and cultural moments, the kind of data that surveys rarely reach and social media APIs increasingly restrict or charge for access to.

This guide covers three methods for collecting YouTube comment data in 2026: the official YouTube Data API, Python-based scraping with yt-dlp, and managed scraper APIs for production pipelines. Each section includes working code so you can start collecting data regardless of which approach fits your scale and technical setup.

How to Scrape Channel Data from YouTube

Wed, 29 Apr 2026 00:00:00 +0000

Let's learn how to scrape YouTube data using Selenium, focusing on extracting information about videos uploaded by a specific channel.

Of course, you can follow the old-school path of leveraging the official YouTube API, but it is rate limited and doesn't expose all the data you see on the website.

A more flexible approach is to follow the exact step-by-step process described in this tutorial. By the end of this guide, you'll know techniques that are easy to adapt for scraping YouTube search results and individual video pages.

Puppeteer submit form: How to Automate Form Filings and Submissions

Wed, 29 Apr 2026 00:00:00 +0000

For anyone wrestling with web data, Puppeteer submit form automation is less a 'nice-to-have' and more a 'when-not-if' skill. Forms sit between you and a lot of the web: login walls, search boxes, signup flows, checkouts. If you scrape, test, or automate anything in a browser long enough, you'll inevitably find yourself filling and submitting them programmatically.

Today, we'll look at how to automate form submission with Puppeteer. Puppeteer is an open-source tool for browser automation, web scraping, and testing. Every task that you can perform with a Chrome browser can be automated with Puppeteer.

Best Screenshot APIs You Can Use in 2026

Mon, 27 Apr 2026 00:00:00 +0000

Choosing the best screenshot API sounds simple until you need to capture websites reliably in production. Modern pages rely on JavaScript, lazy-loaded assets, cookie banners, and other elements that make automated screenshot capture harder than it looks. If you build that stack yourself, browser infrastructure, retries, and rendering issues can quickly turn into a maintenance burden.

A good screenshot API lets developers offload browser rendering and image capture to a service built for that job. In practice, these tools are used for link previews, visual archiving, competitor monitoring, automated QA, and page change tracking. The right choice depends on your workflow, whether you need clean captures, support for dynamic pages, bulk screenshot automation, or better handling of protected sites.

How to Scrape IMDb in 2026: Step-by-Step with ScrapingBee

Mon, 27 Apr 2026 00:00:00 +0000

If you want to learn how to scrape IMDb data, you're in the right place. IMDb contains over 10 million titles and hundreds of millions of ratings, making it a valuable resource for market research, sentiment analysis, and building personal databases. This step-by-step tutorial shows you how to extract data, including movie details, ratings, actors, and review dates, using a Python script. You'll see how to set up the required libraries, process the HTML content, and store your results in a CSV file for further analysis using ScrapingBee's API.

Best Google Places API Alternative for 2026 (Top Picks Compared)

Fri, 24 Apr 2026 00:00:00 +0000

Building location-based services often reveals the frustration of hitting rigid quotas. Developers quickly learn that while the official Google Places API is a starting point, costs can escalate rapidly. Vendor lock-in is a significant risk in 2026, where high costs and restrictive licensing can hinder product scalability.

Fortunately, the landscape has shifted. Whether a structured dataset or large-scale public data extraction is needed, there's a Google Places API alternative for every use case. This guide meticulously compares top Google Places API options, evaluating both official licensed providers and flexible scraping engines, to help you build faster and more cost-effectively.

How to Scrape Redfin for Property Data Extraction

Fri, 24 Apr 2026 00:00:00 +0000

Searching for a Redfin API is the natural starting point for anyone building a real estate data pipeline, and it leads to a dead end. Redfin does not offer a public API for developers. What it does have are internal JSON endpoints used by its own web application; those endpoints are technically reachable but undocumented, rate-limited, and prone to breaking when Redfin updates its frontend.

The practical path forward is web scraping, and this guide covers three approaches that work in 2026: tapping Redfin's internal JSON endpoints directly, writing a Python scraper using the requests library, and using a managed scraping API for production-scale pipelines. Each approach involves different tradeoffs between setup time, maintenance cost, and reliability at scale.

Lightpanda: The Headless Browser Built for AI Agents and Scalable Automation

Thu, 23 Apr 2026 00:00:00 +0000

Lightpanda is a headless browser built for a problem every automation engineer knows too well: Chrome works, until you have to run a lot of it. At scale, Chromium-based tools eat RAM, burn CPU, and turn headless browser automation for scraping and testing into an infrastructure problem.

That is where the Lightpanda browser stands out. Built from scratch in Zig, this headless browser for AI is designed for high-performance automation with a much smaller footprint than traditional Chrome-based stacks. It supports CDP for Playwright and Puppeteer, includes native MCP support, and ships with CLI tools for fetching and converting pages.

10 Best Email Scraping Tools in 2026 [I've Tried]

Mon, 20 Apr 2026 00:00:00 +0000

Email scraping tools are specialized software or APIs designed to extract contact information from websites, social media platforms, and online directories. This guide compares the best email scraping tools across automation capabilities, AI features, and infrastructure scalability.

After a full day of first-hand testing with various solutions and SaaS platforms, I've identified which tools actually deliver results at scale. Whether you are a developer building a custom engine or a marketer needing a quick list, choosing the best email scraper depends on your specific technical requirements.

Python web crawler: From setup to web crawling

Mon, 20 Apr 2026 00:00:00 +0000

Web crawling with Python sounds fancy, but it's really just teaching your computer how to browse the web for you. Instead of clicking links and copying data by hand, you write a script that does it automatically: visiting pages, collecting info, and moving on to the next one.

In this guide, we'll go step by step through the whole process. We'll start with a tiny script using requests and BeautifulSoup, then level up to a scalable Python web crawler built with Scrapy. You'll also see how to clean your data, follow links safely, and use ScrapingBee to handle tricky sites with JavaScript or anti-bot rules.

API Monitoring Tools Every Developer Should Know

Thu, 16 Apr 2026 00:00:00 +0000

Whether you are building a microservices architecture or integrating third-party payment gateways, API monitoring is the heartbeat of your system. I've spent years building scrapers and backend services, and I've learned the hard way that "it works on my machine" doesn't mean it stays working at 3:00 AM.

Modern applications depend on robust API monitoring because even a few seconds of downtime can cascade into a total system failure. When you're managing dozens of endpoints, you need more than just a ping; you need a way to ensure API reliability and catch performance bottlenecks before your users do. In this guide, I'll compare the best API monitoring tools available in 2026 to help you make an informed decision for your stack.

Best Rotating and Residential Proxies for Web Scraping in 2026

Thu, 16 Apr 2026 00:00:00 +0000

The best rotating proxies are one of the most effective solutions for web scraping because they help avoid blocks by routing requests through trusted IPs that change automatically. Residential proxies use real user IP addresses, which makes them harder for websites to detect than datacenter proxies. Rotating proxies add another layer of protection by switching IPs for each request through a backconnect system.

Providers build these networks in different ways. Some rely on peer-to-peer bandwidth sharing, others use SDKs such as the Bright SDK, and some rent unused ISP bandwidth through networks like Divi+. That's also why ISP proxies can be a strong option when you need residential IP reputation with datacenter-level performance.

The Best eCommerce Scrapers for 2026

Wed, 15 Apr 2026 00:00:00 +0000

The rapid growth of ecommerce data extraction has transformed how businesses approach price tracking, inventory monitoring, competitor research, and analytics. This guide compares the top ecommerce scraper solutions across APIs, proxy platforms, and automation tools. Discover which scraping tool fits your technical needs, scale requirements, and data goals.

When building these data pipelines, many developers opt for a web scraping API to handle the complexities of header rotation and proxy management. Choosing the right ecommerce data scraping tools depends on your specific technical stack and the anti-bot measures of your target sites.

11 Best Web Scraping Services in USA (2026)

Tue, 14 Apr 2026 00:00:00 +0000

ScrapingBee is the best web scraping service in the USA because it delivers reliable results without forcing you to manage browsers, proxies, or anti-bot workarounds.

Modern scraping has moved far beyond simple HTML downloads. Many sites now require JavaScript rendering, deal with aggressive bot detection, trigger CAPTCHAs, and load key content through multiple API calls. The right provider handles those issues consistently, whether you are building with code or using a no-code workflow.

17 Best Web Scraping Tools Tested & Ranked For 2026

Mon, 13 Apr 2026 00:00:00 +0000

The best web scraping tools in 2026 range from lightweight open-source libraries to full-scale scraping platforms, and each one promises speed, intelligence, or "AI-powered" capabilities. Picking the right one comes down to what you actually need it to do.

This guide breaks down 17 web scraping tools based on hands-on testing. You'll see what each tool does well, where it falls short, and what it costs. Whether you're looking for a managed service like ScrapingBee or a free, open-source option you can customize yourself, you'll walk away knowing exactly which tool fits your project.

7 Best Idealista Scrapers for Different Use Cases

Mon, 13 Apr 2026 00:00:00 +0000

Finding the right web scraper for idealista is no longer just about downloading HTML. In 2026, it is about navigating one of the most sophisticated anti-bot environments in the real estate sector. To maintain an edge in market research, developers and investors need tools that can handle dynamic HTML structure changes and heavy rate limiting.

The landscape favors reliability and scale. For engineers, API-based solutions that manage residential proxies and headless browsers automatically are the gold standard for gathering structured property data. Meanwhile, no-code tools have become more resilient, allowing non-technical users to easily scrape the listings page without writing a single line of code. Whether you are tracking market trends or building a lead list of real estate agents, these tools balance performance and ease of use for accessing the idealista website.

8 Best Leads Scrapers in 2026

Fri, 10 Apr 2026 00:00:00 +0000

The best lead scrapers are tools that collect publicly available information from online sources and turn it into a usable lead list. Usually, they serve this data in CSV or JSON format that your CRM can ingest. If your lead generation efforts depend on fresh business leads and accurate company details, these tools can save hours of manual prospecting across web pages like business directories, Google Maps listings, marketplaces, and even a company's Facebook page.

5 Best Free Proxy Lists for Web Scraping (2026)

Thu, 09 Apr 2026 00:00:00 +0000

ScrapingBee is the best option if your goal is reliable web scraping without the headaches of free proxy lists. In this article, we benchmark five proxy list websites to see which ones still provide usable free proxies, scoring them by response time, error rate, and success rate on real targets like Google and Amazon.

We'll also show how to evaluate a free proxy before you use it (protocol support, anonymity, uptime, and geolocation) and why "free" often comes with tradeoffs: public proxies can be slow, unstable, shared by thousands, and sometimes operated by parties that log traffic, inject ads, or tamper with responses—fine for quick tests, not for anything sensitive.

How to Scrape Google News: Step-by-Step Guide

Thu, 09 Apr 2026 00:00:00 +0000

In this blog post, I'll show you how to scrape google news with Python and our Google News scraper, even if you're not a Python developer. You'll start with the straightforward RSS feed URL method to grab news headlines in structured XML. Then I'll show you how ScrapingBee's web scraping API, our Google News API, and even our Google Search Results API can extract public data.

By the end of this guide, you'll have an easy access to the every news title you need without getting bogged down in complex infrastructure. Let's begin!

8 Best SERP APIs in 2026

Wed, 08 Apr 2026 00:00:00 +0000

Looking for the best SERP API in 2026? You've come to the right place. In my experience working with various search engine data projects, choosing the right API can make or break your entire operation. Some search scraping APIs can be frustrating, as they often yield inconsistent data. Others extract data so smoothly you'll wonder how they make web scraping so easy.

The search engine API market has evolved significantly in 2026, with new players entering the field and established providers upgrading their infrastructure. Whether you're tracking competitor rankings, building local SEO presence, or feeding data into machine learning models, there's never been more choice – or more confusion about which provider to pick.

How to Scrape Amazon Data in 2026 with Python

Wed, 08 Apr 2026 00:00:00 +0000

One day you wake up and realize that you need Amazon pricing data which is not available in a structured form, so you need to figure out how to scrape it yourself.

At first, it might sound easy, so you fire a bunch of HTTP requests using your favourite HTTP client… and you hit a wall: a CAPTCHA, merciless rate limiting, or a page full of JavaScript that your HTTP client can't run.

6 Best eBay Web Scrapers In 2026

Tue, 07 Apr 2026 00:00:00 +0000

Finding the best eBay web scraper in 2026 depends entirely on your specific needs. Whether you are a developer looking for a web scraper to power a large-scale competitor analysis or a business owner needing eBay product data for market research, you need a specific toolset. After all, navigating eBay's aggressive anti-scraping measures and complex JavaScript rendering can be a challenge.

In this guide, I compare the top tools on the market, evaluating them on their ability to handle ip rotation, bypass anti-bot measures, and deliver clean, structured data.

Best Job Scraping Tools in 2026

Tue, 07 Apr 2026 00:00:00 +0000

Job scraping software has become the fastest way to turn messy job postings into clean, analyzable signals about the job market. Instead of clicking through endless filters and tabs, you can programmatically collect listings, normalize them, and reuse the dataset for everything from salary benchmarks to hiring insights.

In this guide, you'll learn which tools are best for different sources (aggregators vs. single boards vs. freelance marketplaces), what to extract, and how to keep your pipeline stable when sites change or fight back.

How to scrape Kickstarter data

Tue, 07 Apr 2026 00:00:00 +0000

Scraping Kickstarter data can be tricky, especially since there's no official public Kickstarter API available for developers. In this guide, I'll show you how to scrape Kickstarter data in a clean and reliable way using a dedicated scraping API. Instead of dealing with fragile HTML parsing or reverse engineering internal endpoints, you'll learn how to request Kickstarter pages, extract structured data, and turn it into something you can actually use.

How to Scrape Images from a Website with ScrapingBee

Fri, 03 Apr 2026 00:00:00 +0000

Learning how to scrape images from website sources is a skill that can unlock various benefits. Whether you're extracting product photos for competitive analysis, building datasets or gathering visual content for machine learning projects, you need to know how to scrape.

In this article, I'll walk you through the process of building a website image scraper. But don't worry, you won't have to code everything from scratch. ScrapingBee's web scraping API allows automating content collection with minimal technical knowledge. The best part, it has built-in technical infrastructure, so you don't need to think about proxies, JavaScript rendering or other difficulties. Let me show exactly how it works.

How to Scrape Indeed Job Listings with BeautifulSoup & ScrapingBee

Fri, 03 Apr 2026 00:00:00 +0000

In this guide, we'll dive into how to scrape Indeed job listings without getting blocked. The first time I tried to extract job data from this website, it was tricky. I thought a simple requests.get() would do the trick, but within minutes I was staring at a CAPTCHA wall. That's when I realized I needed a proper web scraper with proxy rotation and headers baked in to scrape job listing data.

Playwright MCP - Scraping Smithery MCP database Tutorial with Cursor

Thu, 02 Apr 2026 00:00:00 +0000

AI is getting the same upgrade humans once did: tool use. With the Model Context Protocol (MCP), AI can now interact with browsers, APIs, and files - not just generate text.

In this guide, you'll see how to use Playwright MCP in Cursor to scrape data from smithery.ai and see how much further you can push yourself away from having to write code for a web scraping task. You'll learn how to set it up, run your first scraping task, and understand where this approach works - and where it breaks down.

9 Best ChatGPT Interface Scraper Tools in 2026 (Tested & Compared)

Tue, 31 Mar 2026 00:00:00 +0000

In 2026, extracting data from AI interfaces is essential for building agents, monitoring LLM performance, or automating workflows. A ChatGPT scraper tool is specialized software designed to navigate OpenAI's dynamic, React-based environment to extract text, code, or metadata.

Unlike the official OpenAI API used for generating content, interface scrapers retrieve data directly from the web application. This is vital for accessing public GPTs or shared links not exposed via standard endpoints. While some tools offer "point-and-click" simplicity, others, like our web scraping API, provide the raw infrastructure of proxies and headless browsers needed for custom, high-scale builds. In this guide, I evaluate the best ChatGPT scraper tools based on their reliability and ability to bypass sophisticated anti-bot measures.

How To Build An Automated AI Web Scraper With n8n In 2026

Tue, 31 Mar 2026 00:00:00 +0000

For most of the last decade, collecting data from the web meant two things: open 10+ tabs, copy values into a spreadsheet, and call it research — or write Python. I did the latter — custom scripts, proxy management, CSS selectors that broke every time a site sneezed.

Web scraping has a reputation for being technical. That reputation is about 3 years out of date.

What changed everything was pairing n8n's visual workflow builder with an AI Web Scraping API. Instead of targeting specific HTML elements, you describe what you want in plain English. When the site redesigns, the workflow doesn't notice.

How to Download Files with cURL (Commands + Examples)

Tue, 31 Mar 2026 00:00:00 +0000

Most developers know you can download files with cURL — but almost nobody uses more than 3% of what it can actually do. cURL is now running on over 20 billion devices worldwide…yes, you read that right. It ships by default on macOS, Windows 10+, and virtually every Linux server on the planet. It's inside your phone, your smart TV, your car, and the firmware of devices you've never thought twice about. It is, quite plausibly, the most installed piece of software ever written.

How to Scrape Google Jobs: Step-by-Step Guide

Mon, 30 Mar 2026 00:00:00 +0000

In this guide, we'll show you how to scrape Google Jobs listing results using our Google Search API. We'll build a simple Python script, render the jobs panel, and extract structured job data step by step. By the end, you'll be able to collect job titles, companies, locations, and posting dates programmatically. Many of our Google Jobs Scraper users struggle with rendering the jobs panel correctly, constructing valid search queries, and parsing the job listings that appear dynamically on the page. We'll cover each of these in simple steps so you can build a working scraper without running into those common issues.

Open Source Web Scraper: Best Tools and How to Choose

Mon, 30 Mar 2026 00:00:00 +0000

Open source web scraping is the fastest way to turn public web pages into something your app, dashboard, or model can use. At a basic level, the best open source web scraper sends HTTP requests, downloads HTML and XML documents, and then runs data extraction logic to pull the fields you care about.

But there's a catch. The "best" depends on what you're scraping and how you ship it. Some stacks shine on simple pages where you just need to scrape data with a few CSS selectors. Others are built for dynamic websites where the page only renders after JavaScript execution. And if you're running serious data collection at scale, anti-bot systems and infrastructure start to matter as much as code.

8 Best Web Search APIs For AI Agents In 2026

Thu, 26 Mar 2026 00:00:00 +0000

The landscape of the internet has shifted significantly. In 2026, we are no longer just building websites; we are building autonomous agents that need to perceive the world in real-time. Whether you are working on advanced Retrieval-Augmented Generation (RAG) systems or LLM-powered market analysts, your model is only as good as the data it can ingest.

That's why choosing the best AI search API is no longer a luxury. It is a critical infrastructure decision that dictates the accuracy, freshness, and scalability of your application. I have spent the last few months testing various stacks, and I have realized that the search problem usually falls into three buckets: semantic search APIs for meaning-based retrieval, SERP APIs for traditional engine results, and web scraping APIs for those of us who need to own the entire data acquisition layer.

6 Best Web Scraping Service Providers

Wed, 25 Mar 2026 00:00:00 +0000

The best web scraping solutions aren't just about downloading web pages. Instead, they provide reliable web data output that keeps flowing even when websites change or block requests.

Teams typically use web scraping tools and data extraction tools for market research, competitive intelligence, price monitoring, and brand monitoring, where delays or broken scripts can quickly turn into missed opportunities.

The real difference between web scraping service providers becomes clear once you move past a demo. Can the service handle complex websites and still return scraped data from web pages and in the data formats your team needs? Does it help you extract data and automate data extraction workflows in a way that enables users to produce actionable data, with predictable data delivery you can depend on?

How to bypass PerimeterX anti-bot protection system in 2026

Tue, 24 Mar 2026 00:00:00 +0000

In this guide, we explain how to bypass PerimeterX bot protection in 2026. We'll cover how the system works, what triggers blocks, and the practical techniques you can use to avoid detection.

Before we get started, please note: In 2024, PerimeterX was rebranded to HUMAN Security, but its core detection methods largely remain the same.

TL;DR: PerimeterX bypass in a nutshell

To bypass PerimeterX in 2026, your requests must behave like a real user across every layer at once, including IP quality, TLS and HTTP signals, browser fingerprint, session continuity, and on-page behavior. The most reliable approach is to use real browser environments or scraping APIs that handle these signals together, rather than trying to patch individual issues.

How to manage price scraping with Python: A guide to price tracking

Mon, 23 Mar 2026 00:00:00 +0000

Price scraping Python is one of the easiest ways to keep track of product prices across websites without doing everything manually. Instead of checking the same pages again and again, a small script can collect pricing data, store the results, and highlight changes right away.

This approach works well for many cases: monitoring competitors, tracking discounts, or making sure a product isn't overpriced. And this isn't just for developers — anyone curious enough can pick this up and build something useful pretty quickly.

How to build a private proxy server with sing-box, VLESS, Hysteria2 and SOCKS on Linux

Tue, 17 Mar 2026 00:00:00 +0000

In this guide we will walk through how to build your own proxy server on Linux using sing-box with a few well-known protocols: SOCKS, VLESS with Reality, and Hysteria2.

The idea is to put together a small but flexible proxy setup that you control yourself. Instead of relying on some external service, you run the whole thing on your own VPS. That gives you more visibility into what is actually happening and helps you understand how modern proxy stacks work under the hood.

Google Ads competitor analysis: Step by step guide

Thu, 12 Mar 2026 00:00:00 +0000

Google Ads competitor analysis is the process of looking at the advertisers that show up next to you in search results and figuring out how they compete for the same clicks. For PPC marketers and founders, it's one of the best ways to improve campaigns. Instead of guessing what might work, you can look at what other advertisers in the market are already testing and how they frame their offers.

Python web scraping JavaScript: How to scrape dynamic pages

Mon, 09 Mar 2026 00:00:00 +0000

Python web scraping JavaScript pages can feel confusing the first time you try it. You write a simple scraper with requests and BeautifulSoup, run it against a website, and instead of useful data you get an almost empty page. Meanwhile the browser clearly shows tables, prices, comments, or products.

The reason is simple: many modern websites build their content with JavaScript after the page loads. Your browser runs those scripts automatically, but a basic Python scraper only downloads the initial HTML.

How to use curl to show response headers

Fri, 06 Mar 2026 00:00:00 +0000

If you want to use curl to show response headers, you are in the right place. Response headers reveal important details about the server's reply, including status codes, content types, caching rules, cookies, and more. Once you know how to inspect them, debugging APIs and websites becomes much easier.

In this guide, you will learn a few different ways to do it, from quick header checks to full request debugging. We're going to walk through the most useful curl flags, explain common headers, and show practical examples using APIs and real web requests.

A step-by-step guide to scraping Zoro.com

Mon, 02 Mar 2026 00:00:00 +0000

If you've ever tried to figure out how to scrape zoro.com for real product and pricing insights, you already know why people chase structured Zoro data. Zoro carries a massive catalog, tons of specs, and price shifts that matter for research, monitoring, and competitive analysis. The problem isn't finding the information: it's collecting it consistently without fighting the site every other day.

That's what this guide is about: a practical walkthrough of responsible Zoro scraping using ScrapingBee's web scraping API. You don't need to be a hardcore developer to follow along, and even if you are one, this approach saves you from maintaining your own proxy pool, browser automation, or endless broken selectors.

How to hide your IP address safely online

Thu, 19 Feb 2026 00:00:00 +0000

If you're trying to figure out how to hide your IP address, chances are you care about privacy, you're hitting annoying geo blocks, or your scraping script just got rate-limited again. Good news: this isn't some dark hacker ritual. It's mostly about understanding what your IP actually does, what tools exist, and what trade-offs come with each one.

In this guide, we'll walk through the practical stuff. What an IP really reveals. How VPNs, proxies, Tor, mobile data, and even public Wi-Fi change your exposure. What works for casual browsing versus scraping workflows. And what absolutely does not work, no matter what Reddit says.

Fast Search API: Real-time SERP data for AI agents, LLM training, and competitive intelligence

Wed, 11 Feb 2026 00:00:00 +0000

Fast search is basically the backbone for many modern AI setup now. Agents, chatbots, RAG loops, analytics tools, even custom LLM training — all of them need fresh web data to stay useful. Your model can be a genius and your prompts can be perfect, but if the info feeding it is stale, the whole thing falls apart.

And this is where the pain usually kicks in. The product is growing, users are happy, everything looks good, but the search layer is the part that keeps slowing things down. Captchas, IP blocks, flaky scrapers, random breakages, the classic "why did our SERP job die again?" Even when it behaves, it's often slow, fragile, and eats way too much engineering time.

Scrapling: Adaptive Python web scraping library that handles website structure changes

Wed, 11 Feb 2026 00:00:00 +0000

Scrapling is blowing up right now with nearly 9k stars on GitHub, and for good reason: anyone who's done Python web scraping knows the pain of a site changing one tiny thing and breaking your whole setup. A div moves, an attribute disappears, the markup shuffles a bit — boom, your selectors die, your pipeline stalls, and you're debugging instead of shipping.

Most classic tools still fall into this trap. They work fine until the layout shifts or an anti-bot wall wakes up, and suddenly you're playing whack-a-mole with CSS paths, headless browser quirks, and Cloudflare mood swings. Scrapling tries to stop that mess. It's an adaptive web scraping library that keeps track of elements even when the structure changes, so your scrapers keep running instead of collapsing. Plus, it brings stealth fetching, strong performance, and an API that feels familiar if you've used BeautifulSoup, Selectolax, Selenium, or any of the usual suspects.

Top 5 Flight APIs in 2026

Tue, 10 Feb 2026 00:00:00 +0000

A flight data API is the fastest way to ship reliable search, pricing, and monitoring features in travel products, without building a brittle crawler from scratch. In 2026, most teams use flight APIs for flight prices, aviation data, and availability across major booking platforms, plus operational signals like schedule changes and cancellations to power alerts and smarter decisions.

In this guide, I’ll review five popular options, when each one shines, and what you can do when official endpoints don’t exist. I’ll also show how to use ScrapingBee to scrape results when you need coverage that APIs can’t enable (or when quotas, contracts, or geography get in the way). Let's dive right in!

6 Best Node.js Web Scrapers in 2026

Mon, 09 Feb 2026 00:00:00 +0000

If you’re doing web scraping with JavaScript in 2026, you’ll usually pick between two approaches: fast HTTP requests to grab HTML/JSON, or real browser automation for dynamic web pages that only reveal content after scripts run.

This article covers both camps. Whether you’re building a quick NodeJS web scraper or tackling anti-bot roadblocks, you can choose the right tool and move on.

Quick Summary of Top 6 Node.js Web Scrapers

These days, Node.js web scraping usually splits into two workflows. For speed and scale across multiple pages, you’ll lean on request-first tools (Axios or Superagent) and focus on parsing html. But if your target element only appears after scripts run (I'm talking about dynamic content and JavaScript-heavy sites), you’ll need automation that drives real web browsers with a browser instance (Puppeteer/Playwright), typically in headless mode.

7 Best Real Estate Scrapers (Comparison)

Sat, 07 Feb 2026 00:00:00 +0000

7 Best Real Estate Scrapers

Real estate data scraping has become the fastest way to build repeatable pipelines for pricing, comps, and lead generation, without manually opening dozens of tabs. Whether you need structured real estate data for analytics or want to monitor the real estate market daily, the right tool makes the difference between a stable dataset and a constant game of whack-a-mole.

In this guide, I compare 7 options built for collecting large-scale property datasets from major portals and real estate listing sites. You’ll learn which platforms are easiest to set up, which are enterprise-grade, and which are best for teams that need all the data without building a full scraping stack in-house.

Top 5 Web Data Mining Tools (Comparison)

Fri, 06 Feb 2026 00:00:00 +0000

Web data mining tools help you turn the vast data of the World Wide Web into something usable, from competitor tracking on e-commerce websites to monitoring brand reputation and spotting shifts in demand. The catch is that web mining has to deal with structured and unstructured data, including messy web data like HTML, plus signals such as hyperlink contents and usage that reflect how users navigate and interact with pages.

How to handle timeouts in Python Requests

Mon, 02 Feb 2026 00:00:00 +0000

If you've ever run a scraper or API script and it just sat there doing nothing, there's a good chance you hit a Python Requests timeout without even noticing. A missing or poorly chosen timeout can make a simple job freeze, waste runtime, or stall an entire scraping workflow. Getting your Python requests timeout settings right isn't optional: it's what keeps your scripts fast, predictable, and sane.

In this guide we'll break down how Requests timeout behavior actually works, clean up the common traps in native Requests, and show where better retry patterns and safer defaults save you a lot of pain. And when the real issue isn't your code at all (bot protection, heavy client-side rendering, IP throttling) we'll talk about the point where a Python request timeout stops being a code tweak and starts being a job for a managed layer like a proper web scraping API.

Scraping Amazon product data with Python

Thu, 22 Jan 2026 00:00:00 +0000

Amazon API scraping is the most reliable way to pull product data without fighting Amazon's HTML, anti-bot rules, or constant layout changes. Instead of wrestling with proxies and brittle selectors, you call an endpoint and get clean Amazon product data ready for analysis: titles, prices, ratings, images, descriptions, reviews, availability, all structured in one JSON.

In this guide you'll see how to scrape Amazon product data with Python using an API-first workflow. We'll still touch on classic HTML concepts so you know what the API replaces, but the focus is on stable, low-maintenance Amazon product data scraping rather than building fragile scrapers.

Best Google Trends Scraping APIs for 2026

Wed, 21 Jan 2026 00:00:00 +0000

Google’s official launch of the Google Trends API in 2025 marks a significant milestone in how developers and businesses access trend data. Programmatic access to Google Trends data is invaluable. It empowers marketers, analysts, and developers to automate trend tracking, integrate insights into dashboards, and build data-driven applications that respond to real-time shifts in public interest.

However, challenges remain: Google’s rate limits, JavaScript-heavy interfaces, and anti-bot defenses make reliable data extraction tricky. This is where flexible scraping APIs, like ScrapingBee, come into play, offering robust alternatives or complements to the official API.

Best Rank Tracking APIs for Developers & Agencies

Wed, 21 Jan 2026 00:00:00 +0000

In the SEO world, thing changes fast. One thing that has already become obsolete is manual keyword rank checking. As websites expand and keyword lists balloon, traditional methods prove inefficient, inconsistent, and error-prone. This is where rank tracking APIs come into play. These APIs automatically collect Search Engine Results Page (SERP) data across different locations and devices, enabling you to build automated, scalable keyword rank tracking systems.

This guide dives into the best rank tracking APIs available in 2026, comparing their features, pricing, and use cases. We’ll also explore why a scraping engine like ScrapingBee often makes the smartest choice as the underlying SERP data layer powering your custom rank tracking system. So let's get into it!

How to Scrape Amazon Reviews With Python (2026)

Wed, 21 Jan 2026 00:00:00 +0000

Amazon review scraping is a great way for other retailers to learn about customer wants and needs through one of the biggest retailers in e-commerce. However, many are discouraged from trying it due to the technical barrier of writing code. If you want an easier way to collect review data, our Amazon Review Scraper API provides a ready-to-use solution.

If you want to access Amazon product reviews in a user-friendly way, there is no better combo than working with our HTML API through Python and its many additional libraries that help extract data from product pages. In this guide, we will cover the basics of targeting local Amazon reviews, so follow along and soon you'll be able to test the service, guaranteeing a reliable web scraping experience.

How to Scrape Data in Go Using Colly

Wed, 21 Jan 2026 00:00:00 +0000

Go is a versatile language with packages and frameworks for doing almost everything. Today you will learn about one such framework called Colly that has greatly eased the development of web scrapers in Go.

Colly provides a convenient and powerful set of tools for extracting data from websites, automating web interactions, and building web scrapers. In this article, you will gain some practical experience with Colly and learn how to use it to scrape comments from Hacker News.

How to Scrape Google Hotels: Step-by-Step Guide

Wed, 21 Jan 2026 00:00:00 +0000

Learning how to scrape Google Hotels opens up opportunities to gain a competitive edge for your business. When you scrape this specialized search engine, you gain access to valuable pricing and availability data that can transform your competitive analysis. By using targeted scraping methods, you can collect all the hotel data that fuels market research, tracks pricing changes in real time, and supports strategic decisions.

However, even experienced developers struggle to scrape Google Hotels without getting blocked. IP blocks, CAPTCHAs, and JavaScript rendering issues create significant hurdles when trying to extract hotel data. But don’t worry – our powerful web scraping API helps you overcome these challenges.

How to Scrape Google Maps: A Step-by-Step Guide

Wed, 21 Jan 2026 00:00:00 +0000

Need business leads or location data from Google Maps but frustrated by constant CAPTCHAs, IP blocks, or unreliable scraping scripts? Scraping is one of the fastest ways to gather high-value information, but Google’s aggressive anti-bot measures turn large-scale data collection into a real challenge.

Access to business names, addresses, ratings, and phone numbers is too valuable to ignore, so users keep finding ways around Google’s automation blocks. But how exactly do they do it?

How to Scrape Google Shopping: A Step-by-Step Guide

Wed, 21 Jan 2026 00:00:00 +0000

In this guide we’ll dive into Google Shopping scraping techniques that actually work in 2026. If you’ve ever needed to extract product data, prices, or seller information from Google Shopping, you’re in the right place. Google Shopping scraping has become essential for businesses that need competitive pricing data. I’ve spent years refining these methods, and today I’ll show you how to use ScrapingBee to make this process straightforward and reliable.

How to Web Scrape Yelp.com

Wed, 21 Jan 2026 00:00:00 +0000

With more than 199 million reviews of businesses worldwide, Yelp is one of the biggest websites for crowd-sourced reviews. In this article, you will learn how to scrape data from Yelp's search results and individual restaurant pages. You will be learning about the different Python libraries that can be used for web scraping and the techniques to use them effectively.

If you have never heard about Yelp before, it is an American company that crowd-sources reviews for local businesses. They started as a reviews company for restaurants and food businesses but have lately been branching out to cover additional industries as well. Yelp reviews are very important for food businesses as they directly affect their revenues. A restaurant owner told Harvard Business Review:

HTML Web Scraping Tutorial

Wed, 21 Jan 2026 00:00:00 +0000

Over the last two decades, HTML scraping has transformed how we approach market research. While the internet continues to reimagine how we extract and analyze information, we have many different ways to scrape HTML, all of which are different in their approach and complexity.

In this tutorial, we will show how to combine the basics of traditional HTML data collection with the powerful extraction capabilities of our scraping API. This approach will help you create a clear and consistent method for automated data extractions. Let's dive in!

Practical XPath for Web Scraping

Wed, 21 Jan 2026 00:00:00 +0000

XPath is a technology that uses path expressions to select nodes or node-sets in an XML document (or in our case an HTML document). Even if XPath is not a programming language in itself, it allows you to write an expression which can directly point to a specific HTML element, or even tag attribute, without the need to manually iterate over any element lists.

It looks like the perfect tool for web scraping right? At ScrapingBee we love XPath! ❤️

Scrape Amazon products' price with no code

Wed, 21 Jan 2026 00:00:00 +0000

It's safe to assume that many of us had bookmarked Amazon product pages from several retailers for a similar product to easily compare pricing.

This article will guide you through scraping product information from Amazon.com so you never miss a great deal on a product. You will monitor similar ******product pages and compare the prices.

This tutorial is designed so that you can follow along smoothly if you already know the basic concepts. Here's what we'll do:

Using CSS Selectors for Web Scraping

Wed, 21 Jan 2026 00:00:00 +0000

In today's article we are going to take a closer look at CSS selectors, where they originated from, and how they can help you in extracting data when scraping the web.

ℹ️ If you already read the article "Practical XPath for Web Scraping", you'll probably recognize more than just a few similarities, and that is because XPath expressions and CSS selectors actually are quite similar in the way they are being used in data extraction.

API for dummies: Start building your first API today

Tue, 20 Jan 2026 00:00:00 +0000

If you've been hunting for an easy API for dummies guide that finally explains what all the fuss is about, you're in the right place. Ever wondered how your favorite apps and websites manage to talk to each other so smoothly? That's where APIs come in.

API stands for Application Programming Interface, but don't let that technical name scare you off. In plain English, an API is like a bridge that lets different software systems exchange data or use each other's features without needing to know what's happening behind the scenes.

Automated Web Scraping - Benefits and Tips

Tue, 20 Jan 2026 00:00:00 +0000

Looking for ways to automate web scraping tools to quickly collect public data online? In the data-driven world, manual aggregation methods cannot compete with the speed of automated growth. Manual scraping is way too slow, error-prone, and not scalable.

Automated web scraping solutions remove the need for monotonous and inefficient tasks, allowing our bots and APIs to do what they do best – execute a recurring set of instructions at far greater speeds. In this guide, we will discuss the necessity of automated connections for data extraction and include some actionable tips that will get you started without prior programming knowledge. Let's get to work!

Best Bing Rank Tracking Tools and Bing Search API Alternatives

Tue, 20 Jan 2026 00:00:00 +0000

Tracking your website’s position on Bing is essential for a comprehensive SEO strategy. While Google dominates search, Bing powers results across Microsoft Edge, Windows devices, Yahoo, and various privacy-focused engines. Which is why neglecting Bing means overlooking a significant source of organic traffic and potential conversions.

In this guide, I'll explore the top Bing rank tracking tools for 2026, underscore the continued importance of Bing tracking, and examine alternatives to the recently retired Bing Search APIs. Whether you prefer turnkey dashboard solutions or aim to build a custom Bing SERP tracker using APIs like ScrapingBee, this comprehensive resource provides the insights you need to succeed in the evolving search landscape.

Comparing Forward Proxies and Reverse Proxies

Tue, 20 Jan 2026 00:00:00 +0000

In an age dominated by the internet, where data flows ceaselessly between devices and servers, proxies have grown to become an integral part of networks. Proxies play a vital role in the seamless exchange of information on the web.

Proxies act as digital intermediaries, facilitating secure and efficient communication between your device and the destination server. There are two types, forward proxies and reverse proxies, each serving a distinct function.

Easy web scraping with Scrapy

Tue, 20 Jan 2026 00:00:00 +0000

In the previous post about Web Scraping with Python we talked a bit about Scrapy. In this post we are going to dig a little bit deeper into it.

Scrapy is a wonderful open source Python web scraping framework. It handles the most common use cases when doing web scraping at scale:

Multithreading
Crawling (going from link to link)
Extracting the data
Validating
Saving to different format / databases
Many more

The main difference between Scrapy and other commonly used libraries, such as Requests / BeautifulSoup, is that it is opinionated, meaning it comes with a set of rules and conventions, which allow you to solve the usual web scraping problems in an elegant way.

Getting Started with chromedp

Tue, 20 Jan 2026 00:00:00 +0000

chromedp is a Go library for interacting with a headless Chrome or Chromium browser.

The chromedp package provides an API that makes controlling Chrome and Chromium browsers simple and expressive, allowing you to automate interactions with websites such as navigating to pages, filling out forms, clicking elements, and extracting data. It's useful for simplifying web scraping as well as testing, performance monitoring, and developing browser extensions.

This article provides an overview of chromedp's advanced features and shows you how to use it for web scraping.

Getting Started with Jaunt Java

Tue, 20 Jan 2026 00:00:00 +0000

While Python and Node.js are popular platforms for writing scraping scripts, Jaunt provides similar capabilities for Java.

Jaunt is a Java library that provides web scraping, web automation, and JSON querying abilities. It relies on a light, headless browser to load websites and query their DOM. The only downside is that it doesn't support JavaScript—but for that, you can use Jauntium, a Java browser automation framework developed and maintained by the same person behind Jaunt, Tom Cervenka.

How to Scrape Costco: Complete Step-by-Step Guide

Tue, 20 Jan 2026 00:00:00 +0000

Learning how to scrape Costco can be incredibly valuable for gathering product information, monitoring prices, or conducting market research. In my experience, while there are several approaches to utilize coding tools for scraping Costco's website, our robust HTML API offers the most straightforward solution that handles JavaScript rendering, proxy rotation, and other key elements that tend to overcomplicate data extraction.

In this guide, we will cover how you can extract data from retailers like Costco without getting blocked, dealing with JavaScript rendering, or managing proxies. Let's take a closer look at how you can use our powerful ScrapingBee HTML API with minimal coding knowledge and extract Costco's product data

How to Scrape Expedia: Step-by-Step Guide

Tue, 20 Jan 2026 00:00:00 +0000

Expedia scraping is a great strategy for tracking of hotel prices, travel trends, and comparison of deals with real-time data. It’s especially useful for building tools that rely on dynamic hotel details like location, rating, and pricing strategies, but accessing these platforms is a lot harder with automated tools.

The main challenge is that Expedia loads its content using JavaScript, so simple scrapers can’t see the hotel listings without rendering the page. On top of that, the site often changes its layout and uses anti-bot measures like IP blocking.

How to Scrape Google Play: Step-by-Step Guide

Tue, 20 Jan 2026 00:00:00 +0000

Want to extract app names, ratings, reviews, and install counts from Google Play? Scraping is one of the fastest ways to collect valuable mobile app data from Google Play, but dynamic content and anti-bot systems make traditional scrapers unreliable

In this guide, we will teach you to scrape Google Play using Python and our beloved ScrapingBee's web scraping API. Here you will find the basic necessities for your collection goals, helping you export data in clean, structured formats. Let’s make scraping simple and scalable!

How to Scrape Home Depot: Complete Step-by-Step Guide

Tue, 20 Jan 2026 00:00:00 +0000

Scraping Home Depot’s product data requires handling JavaScript rendering and potential anti-bot measures. With ScrapingBee’s API, you can extract product information from Home Depot without managing headless browsers, proxies, or CAPTCHAs

Simply set up a request with JavaScript rendering enabled, target the correct URLs, and extract structured data using your preferred HTML parser. Our API handles all the complex parts of web scraping, letting you focus on using the data. In this guide, we will explain how you can do the same, working with Python and our prolific ScrapingBee API!

How to web scrape Zillow’s real estate data at scale

Tue, 20 Jan 2026 00:00:00 +0000

If you're looking to buy or sell a house or other real estate property, Zillow is an excellent resource with millions of property listings and detailed market data.

In addition to traditional real estate purposes, the data available on Zillow comes in handy for market analysis, tracking housing trends, or building a real estate application.

This tutorial will guide you to effectively scrape Zillow's real estate data at scale using Python, BeautifulSoup, and the ScrapingBee API.

Puppeteer Web Scraping Tutorial in Nodejs

Tue, 20 Jan 2026 00:00:00 +0000

In this tutorial, we are going to take a look at Puppeteer, a JavaScript library developed by Google. Puppeteer provides a native automation interface for Chrome and Firefox, allowing you to launch a headless browser instance and take full control of websites, including taking screenshots, submitting forms, extracting data, and more. Let's dive right in with a real-world example. 🤿

💡 If you are curious about the basics of web scraping in JavaScript, you may be also interested in Web Scraping with JavaScript and Node.js.

Web Scraping With LangChain & ScrapingBee

Tue, 20 Jan 2026 00:00:00 +0000

Having a Langchain scraper enables developers to build powerful data pipelines that start with real-time data extraction and end with structured outputs for tasks, like embeddings and retrieval-augmented generation (RAG). To accommodate these benefits, our HTML API simplifies the road towards desired public content via JavaScript rendering, anti-bot bypassing, and content cleanup—so LangChain can process the result into usable text.

In this guide, we will cover the steps and integration details that will help us combine LangChain with our Python SDK, combining these two tools in a Python project. Let's get straight to it!

Python wget: Automate file downloads with 3 simple commands

Mon, 19 Jan 2026 09:10:00 +0000

If you've ever needed to grab files in bulk, you know the pain of clicking download links one by one. That's where combining Python and wget shines. Instead of re-implementing HTTP requests yourself, you can call the battle-tested wget tool straight from a Python script and let it handle the heavy lifting.

In this guide, we'll set up wget, explain how to run it from Python using subprocess, and walk through three copy-paste commands that cover almost everything you'll ever need: downloading a file, saving it with a custom name or folder, and resuming interrupted transfers. Let's get started!

Best Google Scholar API Alternatives - Get Ready for 2026

Mon, 19 Jan 2026 00:00:00 +0000

In the ever-evolving landscape of academic research and data analysis, Google Scholar is a cornerstone for research data. It's the go-to place for scholarly articles, tracking citations, and identifying research trends. Yet, there's a significant challenge: the absence of an official Google Scholar API. This void leaves developers and researchers scrambling for Google Scholar API alternatives.

Whether you’re a developer seeking flexible scraping solutions or a researcher in pursuit of structured academic metadata, this article is your compass. I'll introduce you to the best API for Google Scholar research data and list the alternatives. Let's get started!

Block ressources with Puppeteer

Mon, 19 Jan 2026 00:00:00 +0000

In this article, we will take a look at how to block specific resources (HTTP requests, CSS, video, images) from loading in Puppeteer. Puppeteer is one of the most widely used tools for web scraping and automation. There are a couple of ways to block resources in Puppeteer. In this article, we will go over all the various methods we can use to block/intercept specific network requests in our automation scripts.

How to Build a News Crawler with the ScrapingBee API

Mon, 19 Jan 2026 00:00:00 +0000

Imagine you're a developer who needs to keep track of the latest news from multiple sources for a project you're working on. Instead of manually visiting each news website and checking for updates, you want to automate this process to save time and effort. You need a news crawler.

In this article, you'll see how easy it can be to build a news crawler using Python Flask and the ScrapingBee API. You'll learn how to set up ScrapingBee, implement crawling logic, and display the extracted news on a web page.

How to Scrape Google Flights with Python and ScrapingBee

Mon, 19 Jan 2026 00:00:00 +0000

As the the key source of information on the internet, Google contains a lot of valuable public data. Just like with most industries, for many, it is the main source for tracking flight prices plus departure and arrival locations for trips.

As you already know, automation plays a vital role here, as everyone wants an optimal setup to compare multiple airlines and their pricing strategies to save money. Even better, collecting data with your own Google Flights scraper saves a lot of time and provides a consistent access to new deals.

How To Set Up a Rotating Proxy in Puppeteer

Mon, 19 Jan 2026 00:00:00 +0000

Puppeteer is a popular headless browser used with Node.js for web scraping. However, even with Puppeteer, your IP can get blocked if your script is identified as a bot. That's where the Puppeteer proxy comes in.

A proxy acts as a middleman between the client and server. When a client makes a request through a proxy, the proxy forwards it to the server. This makes detecting and blocking your IP harder for the target site.

Playwright for Python Web Scraping Tutorial with Examples

Mon, 19 Jan 2026 00:00:00 +0000

Web scraping is a powerful tool for gathering data from websites, and Playwright is one of the best tools out there to get the job done. In this tutorial, I'll walk you through how to scrape with Playwright for Python. We'll start with the basics and gradually move to more advanced techniques, ensuring you have a solid grasp of the entire process. Whether you're new to web scraping or looking to refine your skills, this guide will help you use Playwright for Python effectively to extract data from the web.

Playwright vs Selenium: Which is the best Headless Browser

Mon, 19 Jan 2026 00:00:00 +0000

For years Selenium has reigned as the undisputed champion of web automation, dominating the ring with its vast capabilities and developer loyalty. But now a formidable rival has risen, Playwright. This battle of the titans is set to determine which tool truly deserves the crown of web automation champion. Each contender brings its own unique strengths and strategies to the arena, but which will emerge victorious in the fight for web automation supremacy?

Price Scraper With ScrapingBee

Mon, 19 Jan 2026 00:00:00 +0000

Building a multi-functional price scraper is one of the best ways to extract data from competitor platforms and study their pricing strategies. Because most e-commerce businesses use automated connections for competitive analysis, finding a reliable way to access website data and study market trends is one of the best ways to outshine competitors.

However, researching and analyzing data takes a lot of time, so having the best tools for scraping prices provides a big advantage. In this guide, we will show you how to access web data and start scraping websites with our intuitive HTML API. Stick around to build your first price scraping tool in just a few minutes!

ScrapingBee is joining Oxylabs’ group

Mon, 19 Jan 2026 00:00:00 +0000

Today, we’re incredibly proud and excited to announce that ScrapingBee has officially become part of Oxylabs’ group.

Oxylabs’ company group already offers a variety of industry-leading proxy and data gathering solutions. Through this acquisition, they aim to strengthen their position as a market leader while helping elevate the web scraping industry as a whole.

At ScrapingBee, our mission has always been to offer a transparent, easy-to-use, and high-performance web scraping solution.

Web Scraping with Objective C

Mon, 19 Jan 2026 00:00:00 +0000

In this article, you’ll learn about the main tools and techniques for web scraping using Objective C for both static and dynamic web pages.

This article assumes that you’re already familiar with Objective C and XCode, which will be used to create, compile, and run the projects on a macOS—though you can easily change things to run on iOS if preferred.

Basic Scraping

First, let’s take a look at using Objective C to scrape a static web page from Wikipedia:

Web Scraping with Scala - Easily Scrape and Parse HTML

Mon, 19 Jan 2026 00:00:00 +0000

This tutorial explains how to use three technologies for web scraping with Scala. The article first explains how to scrape a static HTML page with Scala using jsoup and Scala Scraper. Then, it explains how to scrape a dynamic HTML website with Scala using Selenium.

💡 Interested in web scraping with Java? Check out our guide to the best Java web scraping libraries

What is Screen Scraping and How To Do It With Examples

Mon, 19 Jan 2026 00:00:00 +0000

What is Screen Scraping?

The easiest way to get data from another program is to use a dedicated API (Application Programming Interface), but not all programs provide one. In fact, most programs don't.

If there's no API provided, you can still get data from a program by using screen scraping, which is the process of capturing data from the screen output of a program.

This can take all kinds of forms, ranging from parsing terminal output to reading text off screenshots, with the most common being classic web scraping.

Generating Random IPs to Use for Scraping

Sun, 18 Jan 2026 00:00:00 +0000

Web scraping uses automated software tools or scripts to extract and parse data from websites into structured formats for storage or processing. Many data-driven initiatives—including business intelligence, sentiment analysis, and predictive analytics—rely on web scraping as a method for gathering information.

However, some websites have implemented anti-scraping measures as a precaution against the misuse of content and breaches of privacy. One such measure is IP blocking, where IPs with known bot patterns or activities are automatically blocked. Another tactic is rate limiting, which restricts the volume of requests that a single IP address can make within a specific time frame.

Getting Started with HtmlUnit

Sun, 18 Jan 2026 00:00:00 +0000

HtmlUnit is a GUI-less browser for Java that can execute JavaScript and perform AJAX calls.

Although primarily used to automate testing, HtmlUnit is a great choice for scraping static and dynamic pages alike because of its ability to manipulate web pages on a high level, such as clicking on buttons, submitting forms, providing input, and so forth. HtmlUnit supports the W3C DOM standard, CSS selectors, and XPath selectors, and it can simulate the Firefox, Chrome, and Internet Explorer browsers, which makes web scraping easier.

Guide to Choosing a Proxy API for Scraping

Sun, 18 Jan 2026 00:00:00 +0000

You're in the thick of it, scraping the web to extract data pivotal to your core product. During this process, you quickly realize that websites deploy defense mechanisms against potential scrapers. For instance, if your server IP address keeps hitting a site for data, it might get flagged and subsequently banned.

This is where a proxy API can help. A proxy API is like your Swiss Army knife for web scraping. It's designed to make your web scraping operations seamless, efficient, and, most importantly, undetected.

Guide to Puppeteer Scraping for Efficient Data Extraction

Sun, 18 Jan 2026 00:00:00 +0000

Puppeteer scraping lets you automate real browsers to open tabs, visit desired web pages, and extract public data. But how do you use this Node.js library without prior experience?

In this guide, we will show you how to set up Puppeteer, navigate pages, extract data with $eval/$$eval/XPath, paginate, and export results. You’ll also see where Puppeteer hits limits at scale and how our HTML API unlocks consistent access to protected websites with the ability to rotate IP addresses and bypass anti-bot systems. Stay tuned, and you will have a working Puppeteer scraper in just a few minutes!

How to Scrape Google Images: A Step-by-Step Guide

Sun, 18 Jan 2026 00:00:00 +0000

Welcome to a guide on how to scrape Google images. We’ll dive into the exact process of extracting image URLs, titles, and source links from Google Images search results. By the end of this guide, you'll be able to get all the image data from multiple search pages.

Here's the catch, though: to scrape data, you'll need a reliable tool, such as ScrapingBee. Our Google Search Results API gives you the infrastructure needed to handle Google’s protections. Since Google Images implements strong anti-scraping measures, you won't be able to get images without a strong infrastructure.

Scrapegraph AI Tutorial; Scrape websites easily with LLaMA AI

Sun, 18 Jan 2026 00:00:00 +0000

Artifical intelligence is everywhere in tech these days, and it's wild how it's become a go-to tool, for example, in stuff like web scraping. Let's dive into how Scrapegraph AI can totally simplify your scraping game. Just tell it what you need in simple English, and watch it work its magic.

I'm going to show you how to get Scrapegraph AI up and running, how to set up a language model, how to process JSON, scrape websites, use different AI models, and even turning your data into audio. Sounds like a lot, but it's easier than you think, and I'll walk you through it step by step.

Web Scraping Booking.com

Sun, 18 Jan 2026 00:00:00 +0000

With more than 28 million listings, Booking.com is one of the biggest websites to look for a place to stay during your trip. If you are opening up a new hotel in an area, you might want to keep tabs on your competition and get notified when new properties open up. This can all be automated with the power of web scraping! In this article, you will learn how to scrape data from the search results page of Booking.com using Python and Selenium and also handle pagination along the way.

Web Scraping Handling Ajax Website

Sun, 18 Jan 2026 00:00:00 +0000

Today more and more websites are using Ajax for fancy user experiences, dynamic web pages, and many more good reasons. Crawling Ajax heavy website can be tricky and painful, we are going to see some tricks to make it easier.

Prerequisite

Before starting, please read the previous articles I wrote to understand how to set up your Java environment, and have a basic understanding of HtmlUnit Introduction to Web Scraping With Java and Handling Authentication. After reading this you should be a little bit more familiar with web scraping.

What to Do If Your IP Gets Banned While You're Scraping

Sun, 18 Jan 2026 00:00:00 +0000

Web scraping is valuable for gathering information, studying markets, and understanding competition. But web scrapers often run into a problem: getting banned from websites.

In most cases, it happens because the scrapers violated the website's terms of service (ToS) or generate so much traffic that they abuse the website's resources and prevent normal functioning. To protect itself, the website bans your IP from accessing its resources either temporarily or permanently.

Best Cloud-Based Web Scraping Tools and APIs

Sat, 17 Jan 2026 00:00:00 +0000

If you’ve ever wrestled with the challenges of managing proxies, setting up headless browsers, or scaling your scraping infrastructure, you know how complex web scraping can get. That’s why cloud-based web scraping tools are so useful.

These platforms do the heavy work for you, by managing infrastructure, proxies, browser automation, and more. They allow you to focus on extracting the data you actually need.

In this article, we’ll dive into the best cloud web scraper options available today, helping you find the right fit for your projects, whether you’re a developer or a business user. I will also explain why I use the specific Scraper API in several projects where I needed reliable JavaScript rendering and proxy rotation without the hassle of managing servers. Let's dive in!

Best Real Estate Databases & Market Data Providers

Sat, 17 Jan 2026 00:00:00 +0000

If you want to stay competitive in today's market, you need access to an accurate, up-to-date database for real estate. Whether you’re a real estate investor, a market analyst, or a lead generation specialist, the quality of your data can make or break your decisions.

In this guide, I'll dive into the best real estate data providers and explain why real estate data matters. Then, I'll describe the differences between data providers and data extraction tools. By the end of this article, you'll know exactly how ScrapingBee can assist you in extracting data from platforms that don’t offer APIs. Let's start!

BrowserUse: How to use AI Browser Automation to Scrape

Sat, 17 Jan 2026 00:00:00 +0000

AI agents, AI agents everywhere. This is one of the most popular and quickly evolving technologies out there. I'm not sure about you, but to me it seems like everyone is trying to use AI for literally everything: collecting data, writing letters, booking hotels, and even shopping. While I still prefer doing many of these things manually, automating boring tasks seems really tempting. Thus, in this article, we're going to see how to automate browser interactions with the help of BrowserUse.

Extract Job Listings, Details and Salaries from Indeed with ScrapingBee and Make.com

Sat, 17 Jan 2026 00:00:00 +0000

Taking the time to read through target pages is usually not the best idea. It's too time-consuming and it's easy to miss important changes when you're scrolling through hundreds of pages. Therefore, learning how to perform updates automatically without the need for coding skills is crucial.

In this tutorial, we will scrape jobs from indeed.com, one of the most popular job aggregator websites. Web scraping is an excellent tool for finding valuable information from a job listing database.

How to Parse HTML with Regex

Sat, 17 Jan 2026 00:00:00 +0000

The amount of information available on the internet for human consumption is astounding. However, if this data doesn't come in the form of a specialized REST API, it can be challenging to access programmatically. The technique of gathering and processing raw data from the internet is known as web scraping. There are several uses for web scraping in software development. Data collected through web scraping can be applied in market research, lead generation‍, competitive intelligence, product pricing comparison, monitoring consumer sentiment, brand audits, AI and machine learning, creating a job board, and more.

How to read and parse JSON data with Python

Sat, 17 Jan 2026 00:00:00 +0000

JSON, or JavaScript Object Notation, is a popular data interchange format that has become a staple in modern web development. If you're a programmer, chances are you've come across JSON in one form or another. It's widely used in REST APIs, single-page applications, and other modern web technologies to transmit data between a server and a client, or between different parts of a client-side application. JSON is lightweight, easy to read, and simple to use, making it an ideal choice for developers looking to transmit data quickly and efficiently.

How to Scrape Craigslist: Step-by-Step Tutorial

Sat, 17 Jan 2026 00:00:00 +0000

Have you ever tried learning how to scrape Craigslist and run into a wall of CAPTCHAs and IP blocks? Trust me, my first web scraping attempt was just as rocky.

Craigslist is a gold mine of data. It contains everything from job ads, housing, items for sale, to various services. But it's not an easy nut to crack for beginners in scraping.

Just like in any other web scraping project, you won't get anywhere without proxy rotation, JavaScript rendering, and solving CAPTCHAs. Fortunately, ScrapingBee handles all of it on autopilot. I think of it as an automated scraping assistant that handles all the technicalities.

Pyppeteer: the Puppeteer for Python Developers

Sat, 17 Jan 2026 00:00:00 +0000

Pyppeteer is a handy way to let a browser do the repetitive work for you. The web is packed with useful data, but collecting it manually takes forever. Web scraping speeds things up by letting your code gather information on its own, and browser automation goes further by handling things like clicking, scrolling, and navigating just like a real user.

Python already has plenty of scraping tools, but sometimes you need the power of a real browser without the extra weight or complexity. Pyppeteer fills that gap. It gives you a straightforward way to control a headless (or full) Chrome instance from Python, making it easier to scrape dynamic sites, load JavaScript-heavy pages, and automate tasks that simple HTTP requests can't handle.

Using jQuery to Parse HTML and Extract Data

Sat, 17 Jan 2026 00:00:00 +0000

Your web page may sometimes need to use information from other web pages that do not provide an API. For instance, you may need to fetch stock price information from a web page in real time and display it in a widget of your web page. However, some of the stock price aggregation websites don’t provide APIs.

In such cases, you need to retrieve the source HTML of the web page and manually find the information you need. This process of retrieving and manually parsing HTML to find specific information is known as web scraping.

XPath vs CSS selectors

Sat, 17 Jan 2026 00:00:00 +0000

Introduction

If you have already browsed our web scraping blog a bit, you will probably have already come across our introduction to XPath expressions, as well as our article on using CSS selectors for web scraping - if you haven't yet, highly recommended 👍. Quite a few good reads.

So you may already have a good idea of what they do and how they are used, but what might be missing - to complete the picture - is how they compare to each other. That's exactly what we are going to do in today's article.

Getting Started with Apache Nutch

Fri, 16 Jan 2026 00:00:00 +0000

Web crawling is often confused with web scraping, which is simply extracting specific data from web pages. A web crawler is an automated program that helps you find and catalog relevant data sources.

Typically, a crawler first makes requests to a list of known web addresses and, from their content, identifies other relevant links. It adds these new URLs to a queue, iteratively takes them out, and repeats the process until the queue is empty. The crawler stores the extracted data—like web page content, meta tags, and links—in a database.

How to Bypass CreepJS and Spoof Browser Fingerprinting

Fri, 16 Jan 2026 00:00:00 +0000

CreepJS is an open-source project designed to demonstrate vulnerabilities and leaks in extensions or browsers that users use to avoid being fingerprinted. It’s one of the newest projects in the browser fingerprinting scene, and it uses an advanced combination of techniques such as JavaScript tampering detection and finding inconsistencies between the detected user agent and the expected feature set.

In this tutorial, we’ll see how the most popular headless browsers stack up against each other in an all-out battle to pass CreepJS’s “Headless” and “Stealth” detection scores.

How to parse HTML in Python: A step-by-step guide for beginners

Fri, 16 Jan 2026 00:00:00 +0000

If you've ever tried to pull data from a website (prices, titles, reviews, links, whatever) you've probably hit that wall called how to parse HTML in Python. The web runs on HTML, and turning messy markup into clean, structured data is one of those rites of passage every dev goes through sooner or later.

This guide walks you through the whole thing, step by step: fetching pages, parsing them properly, and doing it in a way that won't make websites hate you. We'll start simple, then jump into a real-world setup using ScrapingBee, which quietly handles the messy stuff like JavaScript rendering, IP rotation, and anti-bot headaches.

How to Parse HTML in Ruby with Nokogiri?

Fri, 16 Jan 2026 00:00:00 +0000

APIs are the cornerstone of the modern internet as they enable different services to communicate with each other. With APIs, you can gather information from different sources and use different services. However, not all services provide an API for you to consume. Even if an API is offered, it might be limited in comparison to a service’s web application(s). Thankfully, you can use web scraping to overcome these limitations. Web scraping refers to the practice of extracting data from the HTML source of the web page. That is, instead of communicating with a server through APIs, web scraping lets you extract information directly from the web page itself.

How to Scrape Wikipedia with ScrapingBee

Fri, 16 Jan 2026 00:00:00 +0000

Ever wanted to extract valuable insights and data from largest encyclopedias online? Then it is it to learn how to scrape Wikipedia pages! As one of the biggest treasuries of structured content, it is constantly reviewed and fact-checked by fellow users, or at least provide valuable insights and links to sources.

Wikipedia has structured content but scraping can be tricky due to rate limiting, which restricts repeated connection requests to websites. Fortunately, our powerful tools can overcome these hurdles, ensuring efficient data extraction in a clean HTML or JSON format.

OCaml Web Scraping

Fri, 16 Jan 2026 00:00:00 +0000

OCaml is a modern, type-safe, and expressive functional programming language. Even though it's less commonly used than popular languages like Python or Java, you can create powerful applications like web scrapers with it.

In this article, you'll learn how to scrape static and dynamic websites with OCaml.

To follow along, you'll need to have OCaml installed on your computer, OPAM initialized, and Dune installed. All of these steps are explained in the official installation instructions, so go ahead and set up the development environment before you continue.

Web Scraping with Goutte: Step-by-Step Guide 2026

Fri, 16 Jan 2026 00:00:00 +0000

If you’re diving into web scraping with PHP, chances are you’ve come across Goutte, a lightweight, elegant library built on Symfony components. Even in 2026, Goutte remains a solid choice for scraping simple, static websites, especially when paired with frameworks like Laravel.

In this guide, I’ll walk you through setting up Goutte, building basic scrapers, and understanding its limitations. Plus, I’ll show you how to extend Goutte’s power with ScrapingBee's scraper API, a modern API that handles JavaScript rendering and scales your scraping projects effortlessly.

Web Scraping with Groovy

Fri, 16 Jan 2026 00:00:00 +0000

Groovy has been around for quite a while and has established itself as reliable scripting language for tasks where you'd like to use the full power of Java and the JVM, but without all its verbosity.

While typical use-cases often are build pipelines or automated testing, it works equally well for anything related to data extraction and web scraping. And that's precisely, what we are going to check out in this article. Let's fasten our seatbelts and dive right into web scraping and handling HTTP requests with Groovy.

What is data parsing?

Fri, 16 Jan 2026 00:00:00 +0000

Data parsing is the process of taking data in one format and transforming it to another format. You'll find parsers used everywhere. They are commonly used in compilers when we need to parse computer code and generate machine code.

This happens all the time when developers write code that gets run on hardware. Parsers are also present in SQL engines. SQL engines parse a SQL query, execute it, and return the results.

'JMAP (YC S10) Linux Inside is hiring': the quest for the best Hacker News title

Thu, 15 Jan 2026 00:00:00 +0000

Introduction

For those of you who don't know, Hacker News is a successful social news website focusing on computer science and entrepreneurship visited by more than 10m people per month (source: SimilarWeb).

Founded by Paul Graham, it works similarly to Reddit, users submit contents which can be upvoted by the community. The most upvoted content, mostly links, then reach the front-page, resulting in tens of thousands of visits for the lucky website.

10 Tips on How to make Python's Beautiful Soup faster when scraping

Thu, 15 Jan 2026 00:00:00 +0000

Beautiful Soup is super easy to use for parsing HTML and is hugely popular. However, if you're extracting a gigantic amount of data from tons of scraped pages it can slow to a crawl if not properly optimized.

In this tutorial, I'll show you 10 expert-level tips and tricks for transforming Beautiful Soup into a blazing-fast data-extracting beast and how to optimize your scraping process to be as fast as lightning.

Create a sitemap link extractor using ScrapingBee in N8N

Thu, 15 Jan 2026 00:00:00 +0000

I want to scrape a website, but wait, how do I get the links?

Good question! That's exactly what we are going to answer in this blog post.

While there are multiple options for this, we are going with an easy route, that is, Extracting links from sitemap!

Most websites on the internet provides all of their links in a sitemap.xml or similar file. The reason they create this is to make it easier for search engines to find the website links.

Free AI Powered Proxy Scraper for Getting Fresh Public Proxies

Thu, 15 Jan 2026 00:00:00 +0000

Proxies are your ultimate cheat code, helping you bypass the anti-scraping bosses guarding valuable data behind firewalls and restrictions. This guide shows you how to obtain free proxies with an AI-powered scraper API, saving you time and money while leveling up your scraping game like a pro.

Free proxies are listed by several sources on the internet, and they usually allow us to filter by protocol type, country, and other parameters. In a previous blog post, we looked at some of these sources and tested them for various quality parameters. (In the context of proxies, quality would refer to whether the proxy actually works or not, and also the time it takes to complete a request.) In this tutorial we'll show you how to scrape fresh public proxies from any source and evaluate them to figure out which ones are working.

How to Build a Fast Scraping Bot: 2x Speed with Python Threading

Thu, 15 Jan 2026 00:00:00 +0000

Looking for a way to build a fast scraping bot that actually meets speed expectations? You’re about to discover a proven method that doubles your scraping output while staying under the radar of anti-bot systems.

Most developers face slow, sequential scraping that takes forever to gather meaningful data. But here’s the truth: with proper threading implementation and ScrapingBee’s reliable API, you can turn your sluggish scraper into a high-performance data collection machine. In this guide, I’ll walk you through building a resilient scraping bot using Python threading techniques that I’ve personally tested on various websites.

How To Set Up A Rotating Proxy in Selenium with Python

Thu, 15 Jan 2026 00:00:00 +0000

Selenium is a popular browser automation library that allows you to control headless browsers programmatically. However, even with Selenium, your script can still be identified as a bot and your IP address can be blocked. This is where Selenium proxies come in.

Ruby HTML and XML Parsers

Thu, 15 Jan 2026 00:00:00 +0000

Ruby HTML and XML Parsers

Extracting data from the web—that is, web scraping—typically requires reading and processing content from HTML and XML documents. Parsers are software tools that facilitate this scraping of web pages.

The Ruby developer community offers some fantastic HTML and XML parsers that can serve all your web scraping needs—there are a lot of options out there. In choosing which to go with, you might consider the following criteria:

Study of Amazon’s Best Selling & Most Read Book Charts Since 2017

Thu, 15 Jan 2026 00:00:00 +0000

Amazon is most well known as an online shopping website, and among the tech folks for Amazon Web Services. However, it was initially started as an online bookstore. They are also well known for the Kindle eBook and the Audiobook experiences they offer.

The extensive offerings in the literature space have given Amazon so much data about reading patterns on a global scale. They present this data by publishing 4 charts every week. These 4 charts are the most read and the most sold books in fiction and non-fiction categories in the USA.

Top 15 Scraper Sites to Enhance Your Data Collection Skills

Thu, 15 Jan 2026 00:00:00 +0000

If you’re ready to dip your feet into web scraping, you probably need some of the best websites to practise web scraping. You're in luck. These are specially designed web scraping websites that let you hone your data extraction skills without worrying about legal issues or accidentally hammering a live site. Think of them as your personal playgrounds for learning how to scrape efficiently and ethically.

I remember when I first started scraping, I was nervous about breaking something or getting blocked. If you're like me, you alleviate your worries with these test sites that'll give you confidence to experiment with different techniques. And when you’re ready to take things up a notch, platforms like ScrapingBee let you test and scale your scrapers in real-world conditions, complete with free credits to get you started.

Web Scraping with Visual Basic

Thu, 15 Jan 2026 00:00:00 +0000

In this tutorial, you will learn how to learn how to scrape websites using Visual Basic.

Don't worry—you won't be using any actual scrapers or metal tools. You'll just be using some good old-fashioned code. But you might be surprised at just how messy code can get when you're dealing with web scraping!

You will start by scraping a static HTML page with an HTTP client library and parsing the result with an HTML parsing library. Then, you will move on to scraping dynamic websites using Puppeteer, a headless browser library. The tutorial also covers basic web scraping techniques, such as using CSS selectors to extract data from HTML pages.

Are Product Hunt's featured products still online today?

Wed, 14 Jan 2026 00:00:00 +0000

Releasing any new product these days is a competitive business. Mountains of new products appear daily, complete with well produced intro videos with every new competitor bearing a striking resemblance to one other. But how many of the products of the past stood out from the crowd and continue to remain online today?

In this article I'll be showing how to query the Product Hunt API to collect data. We collected information from all the featured products from Product Hunts 8-year history to determine how many of them still exist online or have disappeared into the tech wilderness. Along the way we'll also discover other interesting insights into the dataset.

Best Real Estate APIs for Developers in 2026

Wed, 14 Jan 2026 00:00:00 +0000

We all know how crucial it is to have our fingers on the pulse of the property market, right? That’s where real estate APIs come in. The best real estate APIs have become essential tools, providing structured access to property listings, valuations, rental analytics, neighborhood insights, and more.

But here’s the thing: APIs aren’t always perfect. Sometimes they fall short on coverage, hit you with tough rate limits, or struggle to keep up with the lightning-fast pace of the market.

Crawlee for Python Tutorial with Examples

Wed, 14 Jan 2026 00:00:00 +0000

Crawlee is a brand new, free & open-source (FOSS) web scraping library built by the folks at APIFY. While it is available for both Node.js and Python, we'll be looking at the Python library in this brief guide. It's barely been a few weeks since its release and the library has already amassed about 2800 stars on GitHub! Let's see what it's all about and why it got all those stars.

Google Ads Competitor Analysis: 4 Battle-Tested Methods

Wed, 14 Jan 2026 00:00:00 +0000

You're reviewing your Google Ads dashboard on a Monday morning, coffee in hand, when you notice your cost-per-click has mysteriously skyrocketed over the weekend. Your best-performing keywords are suddenly bleeding money, and your once-reliable ad positions are slipping. Sound familiar?

In my years of experience with PPC campaigns and developing web scraping solutions, I've learned that in the high-stakes world of Google Ads, flying blind to your competitors' moves isn't just risky – it's expensive.

How to Build Unbreakable Anti-Scraping Protection in 2026

Wed, 14 Jan 2026 00:00:00 +0000

The digital battlefield has never been more intense. With automated bots now accounting for approximately 50% of all internet traffic, building robust anti-scraping protection has become a critical business imperative. Whether you’re protecting proprietary data, maintaining competitive advantages, or simply ensuring your servers don’t buckle under excessive requests from web scraper operations, the stakes have never been higher.

In my experience working with both scraping and protection systems, I’ve witnessed firsthand how the anti-scraping systems struggle to defend against intruders. Modern automated bots are sophisticated, using residential proxies, browser automation, and AI-powered evasion techniques that can mimic human users with startling accuracy. Only a handful of services, such as ScrapingBee, can navigate the scraping process ethically and respectfully.

How to download an image with Python?

Wed, 14 Jan 2026 00:00:00 +0000

If you've ever tried to Python download image from URL, you already know the theory looks stupidly simple: call requests.get() and boom — image saved. Except that's not how the real world usually works. Sites block bots, images hide behind JavaScript, redirects go in circles, and bulk downloads crumble if you're not streaming, retrying, or handling files properly.

This guide takes the actually useful route: how to stream images safely, name files without creating a junkyard, avoid duplicates, scale to thousands of downloads, and bring in ScrapingBee when a site decides to get spicy. By the end, you'll have a toolkit that works on real websites, not toy examples.

How to scrape data from Twitter.com

Wed, 14 Jan 2026 00:00:00 +0000

Twitter is a gold mine for data. It started as a micro-blogging website and has quickly grown to become the favorite hangout spot for millions of people. Twitter provides access to most of its data via its official API but sometimes that is not enough.

Web scraping provides some advantages over using the official API. For example, Twitter's API is rate-limited and you need to wait for a while before Twitter approves your application request and lets you access its data but this is not the case with web scraping.

How to Scrape Etsy: Step-by-Step Guide

Wed, 14 Jan 2026 00:00:00 +0000

In this guide, I'll teach you how to scrape Etsy, one of the most popular marketplaces for handmade and vintage items. If you've ever tried scraping Etsy before, you know it's not exactly a walk in the park. The website's anti-bot protections, such as CAPTCHA, IP address flagging, and constant updates, make web scraping Etsy product data a challenge.

That’s why ScrapingBee's Etsy scraper is the best tool to get the job done. It's a reliable web scraper that helps you capture real-time data from Etsy listings. It's built to handle all complex parts with JavaScript rendering and proxy rotation. With our API at hand, you can focus on extracting the data you need: Etsy product titles, prices, shop names, and more.

No-code web scraping

Wed, 14 Jan 2026 00:00:00 +0000

You can create software without code.

It’s crazy, right?

There are many tools that you can use to build fully functional software. They can do anything you want. Without code.

You might be thinking to yourself, what if I need something complex, like a web scraper? That's too much, right?

To create a web scraper, you need to create a code block to load the page. Then, you need another module to parse it. Next, you build another block to deal with this information and run actions. Also, you have to find ways to deal with IP blocks. To make matters worse, you might need to interact with the target page. Clicking buttons, waiting for elements, taking screenshots.

The Best Guide to Using Helium Scraper for Efficient Data Extraction

Wed, 14 Jan 2026 00:00:00 +0000

When it comes to web scraping, choosing the right tool can make all the difference between a smooth project and a frustrating ordeal. Two popular options that often come up in scraping conversations are Helium Scraper and ScrapingBee.

Helium Scraper is a desktop, no-code scraper designed for small tasks, perfect if you want something visual and straightforward. On the other hand, ScrapingBee is a cloud-based web scraping API built for scalable, automated scraping, ideal for developers, enthusiasts, and enterprises.

Web Scraping with Elixir

Wed, 14 Jan 2026 00:00:00 +0000

Web scraping is the process of extracting data from a website. Scraping can be a powerful tool in a developer's arsenal when they're looking at problems like automation or investigation, or when they need to collect data from public websites that lack an API or provide limited access to the data.

People and businesses from a myriad of different backgrounds use web scraping, and it's more common than people realize. In fact, if you've ever copy-pasted code from a website, you've performed the same function as a web scraper—albeit in a more limited fashion.

Web Scraping with Html Agility Pack

Wed, 14 Jan 2026 00:00:00 +0000

For any project that pulls content from the web in C# and parses it to a usable format, you will most likely find the HTML Agility Pack. The Agility Pack is standard for parsing HTML content in C#, because it has several methods and properties that conveniently work with the DOM. Instead of writing your own parsing engine, the HTML Agility Pack has everything you need to find specific DOM elements, traverse through child and parent nodes, and retrieve text and properties (e.g., HREF links) within specified elements.

Web Scraping With Linux And Bash

Wed, 14 Jan 2026 00:00:00 +0000

Please brace yourselves, we'll be going deep into the world of Unix command lines and shells today, as we are finding out more about how to use the Bash for scraping websites.

Let's fasten our seatbelts and jump right in 🏁

Why Scraping With Bash?

If you happened to have already read a few of our other articles (e.g. web scraping in Python or using Chrome from Java), you'll be probably already familiar with the level of convenience those high-level languages provide when it comes to crawling and scraping the web. And, while there are plenty of examples of full-fledged applications written in Bash (e.g. an entire web CMS, an Intel assembler, a TLS validator, a full web server), probably few people will argue that Bash scripts are the most ideal environment for large, complex programs. So the question why somebody would suddenly use Bash, is not completely out of the blue and may be a justified question.

Web Scraping with Perl

Wed, 14 Jan 2026 00:00:00 +0000

Web scraping is a technique for retrieving data from web pages. While one could certainly load any site in their browser and copy-paste the relevant data manually, this hardly scales and so web scraping is a task destined for automation. If you are curious why one would scrape the web(/blog/what-is-web-scraping/#web-scraping-use-cases), you'll find a myriad of reasons for that:

Generating leads for marketing
Monitoring prices on a page (and purchase when the price drops low)
Academic research
Arbitrage betting

Perl is universally considered the "Swiss Army knife of programming" and there is a good reason for that, as it particularly excels in text processing and handling of textual input of any sort. This makes it a perfect companion for web scraping, which is inherently text-centric.

AI and the Art of Reddit Humor: Mapping Which Countries Joke the Most

Tue, 13 Jan 2026 00:00:00 +0000

Making jokes on the internet is a fine art and Reddit users globally are working diligently to keep the dad jokes coming, because the only thing better than winning an internet argument is winning an internet upvote contest with a punchline your dad would be proud of.

In fact, Reddit's vast reservoir of dad jokes may just be the secret ingredient that helped it reach a staggering $6.4 billion valuation at its recent IPO. Who knew that jokes your dad repeats at every family gathering could be worth their weight in Reddit Gold? But which country attempts to make the highest proportion of jokes in their comment sections?

Axios set headers: The complete guide for 2026

Tue, 13 Jan 2026 00:00:00 +0000

Any time you start wiring up API calls, headers become part of the game right away. Things like auth tokens, content types, or custom metadata all need a place to live, and Axios gives you a clean way to manage them. That's where Axios set headers patterns come in: simple tools that help you keep requests organized without repeating yourself.

This guide walks through the approaches devs actually use in 2026: per-request headers, global defaults, interceptors, dynamic values, and the troubleshooting steps that save you from chasing weird bugs at 2 a.m.

How to Build a VBA Web Scraper in Excel: 2026 Step-by-Step Guide

Tue, 13 Jan 2026 00:00:00 +0000

Looking for how to build a VBA web scraper in Excel? If you're just starting out, there are quite a few things you need to learn. The process has evolved significantly in 2026, especially with Internet Explorer’s complete deprecation.

In this guide, I’ll walk you through creating a modern, reliable Excel VBA scraper that leverages an application programming interface instead of brittle browser automation. This method will save you maintenance headaches and let you perform web scraping directly from an Excel workbook.

How to bypass cloudflare antibot protection at scale in 2026

Tue, 13 Jan 2026 00:00:00 +0000

Over 7.59 million active websites use Cloudflare. The website you intend to scrape might be protected by it. Websites protected by services like Cloudflare can be challenging to scrape due to the various anti-bot measures they implement. If you've tried scraping such websites, you're likely already aware of the difficulty of bypassing Cloudflare's bot detection system.

Bypassing Cloudflare becomes a near-necessity for large-scale projects or scraping popular websites. There are various methods to bypass Cloudflare, each with its pros and cons. In this guide, we'll explore each method in detail, allowing you to choose the one that best suits your needs.

How to Scrape TikTok: Scrape Profile Stats and Videos

Tue, 13 Jan 2026 00:00:00 +0000

Are you a data analyst thirsty for social media insights and trends? A Python developer looking for a practical social media scraping project? Maybe you're a social media manager tracking metrics or a content creator wanting to download and analyze your TikTok data? If any of these describe you, you're in the right place!

TikTok, the social media juggernaut, has taken the world by storm. TikTok's global success is reflected in its numbers:

How to use a proxy with node-fetch?

Tue, 13 Jan 2026 00:00:00 +0000

If you're trying to set up a Node fetch proxy for scraping or high-volume crawling, you'll quickly notice that neither native fetch nor node-fetch has built-in proxy configuration (like a proxy option or automatic HTTP(S)_PROXY support). With node-fetch you need to wire an Agent (e.g. HttpsProxyAgent); with native fetch you need an Undici dispatcher or, on Node 24+, NODE_USE_ENV_PROXY.

Node-fetch was originally built to bring the browser's fetch API into Node. Even though modern Node now ships with its own fetch, the idea stays the same: give devs a simple, flexible way to fire off async HTTP requests on the server.

How to use asyncio to scrape websites with Python

Tue, 13 Jan 2026 00:00:00 +0000

In this article, we'll take a look at how you can use Python and its coroutines, with their async/await syntax, to efficiently scrape websites, without having to go all-in on threads 🧵 and semaphores 🚦. For this purpose, we'll check out asyncio, along with the asynchronous HTTP library aiohttp.

What is asyncio?

asyncio is part of Python's standard library (yay, no additional dependency to manage 🥳) which enables the implementation of concurrency using the same asynchronous patterns you may already know from JavaScript and other languages: async and await

The Ultimate Guide to Web Scraping HTML for Beginners and Pros

Tue, 13 Jan 2026 00:00:00 +0000

Are you wondering who the HTML web scraping works for? You're at the right place, as I'm about to give you a thorough explanation.

Trust me, it’s a game-changer for developers, data scientists, and businesses alike. HTML (HyperText Markup Language) is the backbone of every webpage you visit. It organizes content – from headings and paragraphs to images and links – into a format browsers can understand and display. Because of this universal structure, HTML is an excellent target for scraping. It’s consistent, accessible, and filled with the data you want to extract.

Top 5 SEO APIs in 2026

Tue, 13 Jan 2026 00:00:00 +0000

Search engine optimization (SEO) is an ever-evolving field that demands accurate, real-time data to make informed decisions. Whether you are a seasoned SEO professional or just starting your SEO journey, having access to reliable SEO data is crucial for improving your website's visibility and driving organic traffic.

This is where SEO APIs come into play. They provide seamless access to search engine results page (SERP) data, keyword rankings, and other essential metrics, empowering you to optimize your SEO strategy efficiently.

What Is a Transparent Proxy?

Tue, 13 Jan 2026 00:00:00 +0000

Whether you're an individual user seeking improved online privacy or a network administrator striving to optimize network performance and security for your organization, understanding the nuances of web proxies is crucial. Web proxies are web servers that act as a gateway between a client application and the server it needs to communicate with.

One such proxy that plays a vital role in network management and cybersecurity is a transparent proxy. Transparent proxies are used to set up content filtering and caching, protect from common cybersecurity attacks such as DDoS, and facilitate network traffic management.

What is HTTP?

Tue, 13 Jan 2026 00:00:00 +0000

Your browser uses it, as does your REST API. It connects you to your favorite restaurant whenever you order food online. It's built into your IoT gadget and allows you to unlock doors and adjust your living room temperature, when you are on the other side of the planet. And it's even used to occasionally tunnel other protocols - HTTP

But what exactly is HTTP? What does it do and how does it work? If you already read some of our other articles (e.g. Web Scraping with PHP), you'll have already come across some details, but today we really want to go in-depth into what HTTP is.

What is Web Scraping? How to Scrape Data From Any Website

Tue, 13 Jan 2026 00:00:00 +0000

Web Scraping can be one of the most challenging things to do on the internet. In this tutorial we’ll show you how to master Web Scraping and teach you how to extract data from any website at scale. We’ll give you prewritten code to get you started scraping data with ease.

What is Web Scraping?

Web scraping is the process of automatically extracting data from a website’s HTML. This can be done at scale to visit every page on the website and download the valuable data you need, storing it in a database for later use. For example, you could regularly scrape or extract all the product prices from an e-commerce store to track changes in price so your business can change the price of your products accordingly to compete.

Web scraping in C#: From basics to production-ready code (2026)

Mon, 12 Jan 2026 10:22:27 +0200

So, you wanna do C# web scraping without losing your sanity? This guide's got you! We'll go from zero to a working scraper that actually does something useful: fetching real HTML, parsing it cleanly, and saving the data to a nice CSV file.

You'll learn how to use HtmlAgilityPack for parsing, CsvHelper for export, and ScrapingBee as your all-in-one backend that handles headless browsers, proxies, and JavaScript. Yeah, all the messy stuff nobody wants to deal with manually.

Best Price Scraping Tools for 2026: Top Services Compared

Mon, 12 Jan 2026 00:00:00 +0000

In today’s fast-paced digital marketplace, price intelligence has become a cornerstone for businesses aiming to stay competitive. Accurate, up-to-date pricing data empowers companies to optimize their strategies, monitor competitors, and comply with pricing policies.

As the demand for reliable price data grows, selecting the right price scraping tool is crucial. The best price scraping tools combine precision, speed, and resilience against anti-bot measures, enabling businesses to gather actionable insights without disruption.

Getting Started with Goutte

Mon, 12 Jan 2026 00:00:00 +0000

While Node.js and Python dominate the web scraping landscape, Goutte is the go-to choice for PHP developers. It's a powerful library that provides a simple yet efficient solution to automatically extract data from websites.

Whether you're a beginner or an experienced developer, Goutte allows you to effortlessly scrape data from websites and seamlessly display it on the frontend directly from your PHP scripts. Goutte also ensures that the scraping process doesn't compromise loading time or consume excessive backend resources such as RAM, making it an optimal choice for PHP-based scraping tasks.

Getting Started with RSelenium

Mon, 12 Jan 2026 00:00:00 +0000

The value of unstructured data has never been more prominent than with the recent breakthrough of large language models such as ChatGPT and Google Bard. Your organization can also capitalize on this success by building your own expert models. And what better way to collect droves of unstructured data than by scraping it?

This article outlines how to scrape the web using R and a package known as RSelenium. RSelenium is a binding for the Selenium WebDriver, a popular web scraping tool with unmatched versatility. Selenium's interaction capabilities let you manipulate a web page before scraping its contents. This makes it one of the most popular web scraping frameworks.

How to make HTTP requests in Node.js with fetch API

Mon, 12 Jan 2026 00:00:00 +0000

If you're looking for a clear Node.js fetch example, you're in the right place. Making HTTP requests is a core part of most Node.js apps, whether you're calling an API, fetching data from another service, or scraping web pages. The good news is that modern Node.js comes with a native Fetch API. For many use cases, you no longer need to install a separate HTTP client just to make requests. Fetch is built in, promise-based, and works almost the same way it does in the browser.

How to Scrape TripAdvisor: Step-by-Step with ScrapingBee

Mon, 12 Jan 2026 00:00:00 +0000

Want to learn how to scrape TripAdvisor? Tired of overpaying for your trips? As one of the biggest online travel platforms, it has tons of valuable information that can help you save money and enjoy your time abroad.

Scraping TripAdvisor is a great way to keep an eye on price changes, customer sentiment, and other details that can impact your trips and vacations. In this tutorial, we will explain how to extract hotel names, prices, ratings, and reviews from TripAdvisor using our web scraping API with Python.

How to use AI for automated price scraping?

Mon, 12 Jan 2026 00:00:00 +0000

In order to perform price scraping, you need to know the CSS selector or the xPath for the target element. Therefore, if you are scraping thousands of websites, you need to manually figure out the selector for each of them. And if the page changes, you need to change that as well.

Well, not anymore.

Today, you are going to learn how to perform automated price scraping with AI. You are going to use the power of AI to automatically get the CSS selector of the elements you want to scrape, so that you can do it at scale.

Minimum Advertised Price Monitoring with ScrapingBee

Mon, 12 Jan 2026 00:00:00 +0000

To uphold their brand image and protect profits, it's crucial for manufacturers to routinely monitor the advertised prices of their products. Minimum advertised price (MAP) monitoring helps brands check whether retailers are advertising their products below the minimum price set by the brand. This can prevent retailers from competing on product price, which can lead to a harmful race to the bottom. MAP monitoring helps brands identify and enforce their MAP policies. For instance, if a brand sets a MAP of $100 for a new cosmetic product, MAP monitoring would enable the company to identify and take action against retailers who advertise it for less than $100.

Scrapy Cloud: Build Production-Ready Web Scrapers in 30 Minutes

Mon, 12 Jan 2026 00:00:00 +0000

Scrapy Cloud eliminates the need for managing your own servers while providing enterprise-grade infrastructure for your web scraping projects. If you’ve been running Scrapy spiders locally and dealing with server maintenance, uptime monitoring, and scaling challenges, you’re about to discover a much simpler approach. The Scrapy cloud platform transforms how developers deploy and manage their scrapers. As a result, you get everything from automated scheduling to real-time monitoring in one unified dashboard.

The 11 best web scraping subreddits

Mon, 12 Jan 2026 00:00:00 +0000

Web scraping is an essential skill for data analysts and developers who want to extract data from websites. However, finding reliable sources to learn and discuss web scraping techniques can be challenging. Fortunately, several subreddits on Reddit are dedicated to web scraping, data analysis, and programming-related discussion.

In this article, we'll explore the 11 best subreddits for web scraping and share why each of these subreddits might be useful for you on your web scraping journey.

Web scraping with R: From first script to production with ScrapingBee

Mon, 12 Jan 2026 00:00:00 +0000

Web scraping with R is a practical way to collect data from websites when APIs are missing, incomplete, or locked behind login pages. With the right tools, you can move far beyond fragile one-off scripts and build scrapers that are reliable, readable, and production-ready.

This guide walks through a modern approach to web scraping with R, using rvest and httr2 for parsing and requests, and ScrapingBee to handle the hard parts like JavaScript rendering, proxies, retries, and bot protection. You'll learn how to scrape static pages, work with JSON APIs, deal with pagination and logins, and handle JavaScript-heavy sites without guessing.

Scraping E-Commerce Product Data

Sun, 11 Jan 2026 10:24:37 +0100

In this tutorial, we are going to see how to extract product data from any E-commerce websites with Java. There are lots of different use cases for product data extraction, such as:

E-commerce price monitoring
Price comparator
Availability monitoring
Extracting reviews
Market research
MAP violation

We are going to extract these different fields: Price, Product Name, Image URL, SKU, and currency from this product page:

What you will need

We will use HtmlUnit to perform the HTTP request and parse the DOM, add this dependency to your pom.xml.

What is Web Scraping

Sun, 11 Jan 2026 09:24:27 +0000

What is Web Scraping?

Web scraping is the automated process of collecting data from websites and turning it into a structured format, such as a spreadsheet, database, or JSON file. Instead of copying information manually, a scraper loads web pages, reads their content, extracts specific data points, and saves them for later use.

Web scraping is also often called web crawling, data extraction, or web harvesting. These terms are closely related, but the core idea is simple: software gathers information from web pages, cleans or transforms it, and makes it usable for analysis, automation, monitoring, or business workflows.

How to put scraped website data into Google Sheets

Sun, 11 Jan 2026 08:10:27 +0000

The process of scraping at scale can be challenging. You have to handle javascript rendering, chrome headless, captchas, and proxy configuration. Our scraping tool offers all the above in one API.

Paired with Make (formerly known as Integromat), we will build a no-code workflow to perform any number of actions with the scraped data. Make allows you to design, build, and automate anything—from tasks and workflows to apps and systems—without coding.

Python extract text from HTML: Library guide for developers

Sun, 11 Jan 2026 08:10:27 +0200

If you need to Python extract text from HTML, this guide walks you through it step by step, without overcomplicating things. You'll learn what text extraction actually means, which Python libraries make it easy, and how to deal with real-world HTML that's messy, noisy, and inconsistent.

We'll start simple with the basics, then move into practical examples, cleanup strategies, and a small end-to-end pipeline. By the end, you'll know how to turn raw HTML into clean, usable text you can store, analyze, or feed into other systems.

Advanced Web Scraping: Hidden Techniques Pro Developers Actually Use