Wikipedia Scraper API
Extract Wikipedia data effortlessly with our API. Access articles, summaries, and more in real-time. Perfect for developer teams needing reliable data integration. Simplify your workflow and enhance your projects with seamless Wikipedia scraping.
Key Benefits:
- Automate data collection
- Reduce time waiting for data
- Boost data retrieval efficiency
Sign up with Google
based on 100+ reviews.
Wikipedia Knowledge Harvesting: Empower Your Insight Gathering
Unlock vital insights by harnessing ScrapingBee's powerful data extraction features. Discover three distinct pathways for optimizing your data acquisition strategy.
Gather citation data
Extract structured citation data from various web sources to streamline research, referencing, and bibliographic tasks efficiently.
Fetch location data
Improve location-based lead insights through precise data extraction for strategic business decisions.
Extract population statistics
Enhance demographic insights by extracting population statistics to inform market strategies and uncover growth opportunities.
Transparent Wikipedia Scraper API pricing.
Cancel anytime, no questions asked!
Need more credits and concurrency per month?
(No credit card required)
How ScrapingBee works
Wondering how our customers use wikipedia scraper?
STEP 1
Create an account at ScrapingBee - your dashboard will provide an API key and 1,000 free credits to test the service
STEP 2
Quickly add our official Python library to your project. This makes it easy to send scraping requests without worrying about proxies or browsers.
STEP 3
Use your API key to fetch any web page. We do all the heavy lifting in the background, returning clean, ready-to-use HTML for you to parse and analyze.
STEP 4
Use our advanced features to tackle even the most complex sites. Our flexible options give you complete control over your scraping projects.
Wikipedia Scraper API - Built for Speed. Designed for Effortless Data Extraction
Streamline data extraction with features designed to enhance efficiency, enabling precise capture of essential information for strategic advancement and decision-making.
Wikipedia AI data automation
Enhance Wikipedia data scraping by focusing AI on precise sections using CSS selectors, improving efficiency and accuracy.
AI Web Scraping ->
Screenshot Eextraction Simplicity
Capture precise webpage sections using the Screenshot API by targeting specific CSS selectors, aiding effective data extraction.
Screenshot API ->
Extract Wikipedia Data from Google SERPs
Extract platform-specific Google search results for Wikipedia with our specialized API. No limits. Just strategic data.
Explore Google Search API ->
Automate actions with js
Execute JavaScript to mimic user actions, effectively handling dynamic web pages for enhanced data capture and informed strategic planning.
JavaScript Scraping API ->
Extract Wikipedia data easily
Effortlessly capture detailed data from the platform. Achieve precise, real-time information retrieval using advanced extraction features and optimized pathways.
Data Scraping Tool ->
Streamlined web data capture
Capture intricate web data effortlessly without writing a single line of code. This feature allows precise, efficient data extraction, transforming raw inputs into actionable insights.
No Code Scraper ->ScrapingBee helps us to retrieve information from sites that use very sophisticated mechanism to block unwanted traffic, we were struggling with those sites for some time now and I'm very glad that we found ScrapingBee.Anton R ★★★★★ CTO (see it on Capterra)
ScrapingBee simplified our day-to-day marketing and engineering operations a lot. We no longer have to worry about managing our own fleet of headless browsers, and we no longer have to spend days sourcing the right proxy providerMike Ritchie CEO @SeekWell
So easy to set-up, straightforward and performance. They are reachable and kind, they introduced us properly their tool and offered the best solution for our need.Maxime Y ★★★★★ Product Manager @ NordFolk (see it on Capterra)
You're in great company.
2,500+ customers all around the globe use ScrapingBee to solve their web scraping needs.
Exceptional Wikipedia Scraper API: Effective Data Solutions
Seamlessly extract uncommon data elements, maximizing Wikipedia's potential for innovative integration solutions.
Effortless API Documentation
ScrapingBee offers intuitive integration with clear, developer-friendly documentation. Its streamlined setup is crucial for businesses aiming for efficient operations and innovative data use.
Documentation
Harness ScrapingBee's API Strengths
Experience the prowess of ScrapingBee's API in Wikipedia extraction. Harness precise data collection with tailored extraction rules and seamless integration, redefining your approach to online encyclopedias.
Web Scraping APIScrapingBee in numbers
Wikipedia scraper tutorials
Top-rated support & documentation
Our team is here to help you scrape Wikipedia. We're also constantly developing new features to make your scraping journey easier.
Fantastic documentation
Take a look at our documentation and get started in minutes!
Code samples
Whatever the programming language you enjoy, we have written code examples in Java, Python, Go, PHP, Curl and JavaScript.
Knowledge base
Our extensive knowledge base covers the most frequest use cases with code smples.
Exceptional support
We will quickly answer all your Wikipedia scraping questions via our live chat or emails, even the hard ones!
Unlock web scraping potential
Check out our documentation to find out more about how to ustilise our API for your scraping needs.
All Available Scrapers
Browse our complete collection of web scraping APIs
