Best Real Estate Databases & Market Data Providers

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!

Quick Answer

When it comes to real estate data services, the top providers vary depending on your specific needs:

• ATTOM: Best for nationwide property characteristics and neighborhood analytics.

• CoreLogic: Ideal for enterprise-level underwriting insights and advanced analytics.

• PropertyShark: Great for deep property reports and ownership lookup.

• Zillow: Popular for listings, Zestimate valuations, and public records.

• ProspectNow: Focused on lead generation with AI-driven ownership data and predictions.

Each provider excels in different areas. Whether it’s valuation, lead generation, or market intelligence, choosing the right real estate database depends on your use case.

Shortlist

Here are some of the top real estate data providers you should consider:

1. Datarade: Offers diverse real estate datasets for various business needs.

2. ATTOM: Nationwide coverage with property and neighborhood data.

3. PropertyShark: Research-level property reports and ownership data.

4. CoreLogic: Enterprise-grade analytics and underwriting insights.

5. BatchData: Marketing datasets and investor-focused property ownership data.

6. The Warren Group: Regional public records and mortgage data.

7. CompCurve: Comparative market analysis and valuation tools.

8. BIGDBM: Consumer data enriched with property insights.

9. RateSpot: Mortgage rate data and lending intelligence.

10. TovoData: Property records and lead generation datasets.

What Is a Real Estate Data Provider?

A real estate data provider is a company or platform that collects, organizes, and provides data on real estate properties, markets, and transactions. This data can include public records, property listings, valuations, ownership details, mortgage information, neighborhood analytics, and market trends.

There are two main types of providers:

1. Direct data providers: These companies gather data from public records, MLS databases, government filings, and proprietary sources. They often offer structured databases or APIs for clients to access.

2. Third-party extraction tools: When direct APIs are unavailable, tools like ScrapingBee act as an access layer to extract structured real estate data from websites, portals, and marketplaces. These tools help businesses retrieve data that would otherwise be locked behind web interfaces.

Understanding the difference between a real estate database and data scraping is key. The former is the source of raw or processed data, while the latter enables access and retrieval of that data, especially when official APIs don’t exist.

Comparing Real Estate Data Providers

Choosing the right real estate market data provider requires evaluating several factors:

• Accuracy: How reliable and verified is the data?

• Update frequency: How often is the data refreshed?

• Geographic coverage: Does the provider cover your target markets?

• Data types: Are you getting property records, valuations, ownership info, or market trends?

• Data structure: Is the data clean, normalized, and easy to integrate?

• Licensing: What are the usage rights and restrictions?

• API availability: Does the provider offer APIs for seamless integration?

• Cost: What is the pricing model, and does it fit your budget?

For example, ATTOM offers nationwide data with comprehensive property and neighborhood analytics, making it ideal for market intelligence. Meanwhile, CoreLogic focuses on enterprise clients needing underwriting insights and advanced analytics.

Datarade

Datarade stands out as a convenient marketplace that lets you compare multiple real estate data providers by coverage, price, and use case. Across the databases you provided, data depth on property attributes and transaction history is generally strong, but granularity can vary significantly by region. Most datasets appear well-suited for analytics and modeling, though some lack transparent documentation of update frequency and data provenance, which could affect reliability.

Licensing terms and pricing differ widely, so it will be important to match each vendor’s contract to your intended usage, especially if you plan to resell insights or build commercial products. Overall, these real estate databases provide a solid foundation for valuation, market research, and portfolio analysis, provided you vet each source for freshness, geographic coverage, and compliance requirements.

ATTOM

ATTOM is a leading U.S.-focused property data provider, covering over 150 million parcels with tax, deed, mortgage, foreclosure, valuation, and neighborhood data. Its main strength is exceptional data breadth and quality, with a rich history that fits lending, insurance, compliance, and analytics use cases. Flexible delivery options (API, bulk files, cloud, Snowflake/Parquet) make integration into internal systems straightforward.

The main drawbacks are higher enterprise-oriented pricing and a more involved onboarding compared to lighter-weight APIs. Overall, ATTOM is best for teams that need comprehensive, reliable U.S. property data and can invest in a deeper technical integration.

PropertyShark

PropertyShark is a real estate data platform focused on in-depth property reports, especially strong in major U.S. metro areas like New York City. It shines for its detailed ownership data, building characteristics, sales history, liens, and comparables, making it popular with investors, brokers, and researchers who need parcel-level insight.

The interface is designed more for interactive search and individual property research than massive data exports or heavy programmatic use. Drawbacks include uneven coverage outside key markets and pricing that can feel high if you need broad geographic access rather than deep insight into a few cities. Overall, PropertyShark is best suited for professionals doing deal-level due diligence and local market research rather than large-scale analytics pipelines.

CoreLogic

CoreLogic is a major property data and analytics provider, widely used by lenders, insurers, and government agencies for risk, valuation, and fraud detection workflows. It stands out for very broad U.S. coverage, deep historical data, and strong linkages between properties, people, and loans, which support sophisticated credit and risk models.

The company’s products are more enterprise-oriented than self-serve, so contracts and integrations can be heavier than with lightweight data APIs aimed at startups. Pricing also tends to reflect its positioning as a premium, compliance-ready provider rather than a budget data source. Overall, CoreLogic is best suited for organizations that need highly reliable, regulatory-grade property and risk data and are ready for an enterprise-style relationship.

BatchData

BatchData is a modern real estate data platform that provides API-first access to over 150 million U.S. property records and owner contact details. It’s especially strong for lead generation, skip tracing, and data enrichment, with real-time updates, advanced filters, and hundreds of data points per property. Compared to traditional list providers, BatchData focuses on flexible, self-serve APIs and bulk options rather than long-term contracts or rigid plans.

Drawbacks include a primary focus on the U.S. market and a product design geared more toward developers and data-savvy teams than casual, non-technical users. Overall, BatchData is a good fit if you want fast, pay-as-you-go property and contact data that plugs directly into your apps, CRMs, or analytics workflows.

The Warren Group

The Warren Group is a long-established real estate and mortgage data provider, known for robust U.S. property, sales, and mortgage coverage dating back decades. It offers rich datasets and licensing options across ownership, characteristics, sales, mortgages, pre-foreclosures, permits, and more, plus analytic tools and market-trend modules.

The company has expanded into APIs and AI-ready data formats, which makes it more accessible for modern product and data teams. However, its offerings and pricing are geared more toward institutional and enterprise users than casual or early-stage teams looking for lightweight, self-serve APIs. Overall, The Warren Group is a strong fit when you need historically deep, well-curated real estate and mortgage data with options for custom analytics and licensing.

CompCurve

CompCurve is a B2B-focused real estate data provider specializing in MLS, public record, and license data for the U.S. and Canada. It offers rich datasets across property, permits, listings (including FSBO), demographics, and agent licenses, delivered via bulk files and APIs for analytics, marketing, and compliance use cases. Strengths include flexible delivery, transparent pricing ranges, and a reputation for fast, custom data sourcing when clients need harder-to-get attributes.

Limitations are that it’s geared toward data-savvy, B2B teams rather than casual users, and documentation and self-serve tooling are less mature than some larger, long-established vendors. Overall, CompCurve is a solid choice if you want customizable, high-coverage North American real estate and contact data that can power marketing, product, or analytics workflows.

BIGDBM

BIGDBM is a data provider focused on large-scale consumer, homeowner, and property data used for marketing, identity resolution, and analytics. It stands out for combining demographic, behavioral, and property attributes into unified profiles that can power audience targeting, enrichment, and attribution. Delivery options typically include APIs, flat files, and direct integrations into common ad and marketing platforms, making it practical for performance-focused teams.

The trade-offs are that it’s more marketing-oriented than pure real estate analytics, and pricing and usage terms can be complex for smaller buyers. Overall, BIGDBM is a strong fit if you’re looking to supercharge acquisition and retention efforts with rich, property-linked consumer data rather than purely doing valuation or underwriting.

RateSpot

RateSpot is an AI-powered real estate and mortgage data platform that combines property exploration, mortgage rate comparison, and financial scenario analysis for the U.S. market. It offers APIs and tools for real-time mortgage products, historical pricing, property details, and foreclosure listings, making it useful for both applications and market research.

The platform is designed with modern developers in mind, including clear API docs and integrations for AI assistants and analytics workflows. On the downside, it’s still a newer, more specialized player, so coverage is focused on the U.S. and the product is geared more toward technical, B2B users than casual researchers. Overall, RateSpot is a strong fit if you want programmatic access to up-to-date mortgage and property data with an AI- and API-first experience.

TovoData

TovoData is a U.S.-wide real estate data provider offering multi-sourced property, tax, and mortgage data on over 150 million properties with daily updates. It focuses on API-first delivery, bulk files, licensing, and match-and-append services, making it easy to plug into apps, SaaS platforms, and analytics workflows. Strengths include broad nationwide coverage, strong AVM and foreclosure data, and the ability to customize datasets and delivery methods to specific business goals.

On the downside, it’s geared more toward B2B and technical teams than casual users, and you’ll typically engage in a sales process rather than simple self-serve signups. Overall, TovoData is a good fit if you want flexible, developer-friendly access to comprehensive U.S. property, mortgage, and homeowner data for marketing, lending, insurance, or proptech use cases.

Key Data Dashboard

Key Data Dashboard is a short-term rental analytics platform that gives professional property managers, tourism boards, and investors real-time performance and benchmarking data across global markets. Its main strengths are direct-source reservation data from property management systems, combined with OTA scraping, which delivers accurate KPIs like occupancy, RevPAR, booking windows, and pacing versus the broader market.

The product is built around intuitive dashboards (ProData, DestinationData, EnterpriseData) rather than raw bulk files, making it especially useful for revenue management and strategic planning instead of low-level data engineering. Limitations include a focus on short-term rentals rather than the full real estate lifecycle and an orientation toward B2B clients, which typically means demo-based onboarding and custom pricing. Overall, Key Data Dashboard is a strong fit if you want reliable, forward-looking short-term rental market intelligence and benchmarking rather than general-purpose property data.

Kinder Data

Kinder Data is a U.S.-focused provider of verified property and homeowner intelligence covering both residential and commercial parcels nationwide. Their key strength is tightly linked owner contact data (phone, email, mailing address) plus 150+ property, mortgage, and equity attributes per record, which is great for marketing, investing, and risk workflows. Datasets are updated frequently from assessor, recorder, and corporate registry sources, supporting high match rates and good accuracy for targeting and enrichment.

The flip side is that it’s very marketing- and prospecting-oriented rather than a pure analytics or AVM platform, and it’s geared toward B2B users who can work with bulk files and integrations. Overall, Kinder Data is a strong fit when you need deep, parcel-level ownership and contact data to drive lead generation, outreach, and property-focused customer analytics across the U.S.

Matrixian

Matrixian is a European-focused real estate and geo-intelligence platform, especially strong in the Netherlands, with detailed data on hundreds of object features per address and rich commercial real estate coverage. It offers a wide product portfolio—AVMs, house value reports, object information tools, maps, and customer/ location intelligence—accessible through a central self-service platform. Delivery is modern and flexible, with APIs and batch files that work well for software providers, lenders, investors, and government users who need to integrate property, portfolio, and sustainability insights.

The trade-offs are that it’s less about raw U.S. coverage and more about European and Dutch depth, and it’s geared toward professional B2B users rather than casual, one-off lookups. Overall, Matrixian is a strong fit if you want data-and-AI-driven real estate intelligence with powerful APIs and tools for valuation, portfolio optimization, and sustainability analytics, particularly in the Netherlands and broader Europe.

Doorda

Doorda is a UK-focused platform that aggregates property, business, and geodemographic data from hundreds of official sources into one environment. Its property datasets cover tens of millions of addresses with rich geospatial attributes and consistent IDs, making joining to internal data straightforward.

Strengths include strong UK coverage, high-quality address matching, and web tools that let both technical and non-technical users explore updated data. The main limitation is that it’s UK-only and geared toward B2B use, not lightweight global lookups. Overall, Doorda is a great fit when you need deeply linked, open-data-based intelligence on UK properties and locations.

Sagacity

Sagacity is a UK-focused data and analytics provider with rich property and occupier datasets. Its Enhance Property product covers roughly 30 million addresses with attributes like value, EPC, and home-mover indicators, ideal for enrichment, risk, and marketing use cases.

A key strength is accurate occupier identification and void-property analytics for sectors like utilities. Overall, Sagacity suits B2B organizations that need deeply linked UK property and occupier data plus analytics expertise.

Silencio Network

Silencio Network is a decentralized noise-intelligence platform that crowdsources hyper-local sound data from smartphones into global acoustic datasets. For real estate, it excels at granular building- and street-level noise maps and time-series noise profiles that enhance valuation models and livability scores. Its privacy-first, consent-based approach is designed to align with regulations like GDPR and CCPA.

The trade-off is that it focuses on acoustic and environmental signals rather than full property attributes, so it’s best used alongside traditional real estate data. Overall, Silencio Network is ideal when you want to layer high-quality global noise and occupancy intelligence on top of existing property or mobility datasets.

Redistribute

Redistribute (REdistribute) is an MLS-owned platform that aggregates and standardizes U.S. property listing data directly from participating MLSs. It delivers clean, compliant, and up-to-date listing data with hundreds of fields per record via APIs, data packages, and cloud platforms like Snowflake. The platform is U.S.-only, listing-focused (not full lifecycle property data), and geared toward B2B buyers with enterprise-style contracts and integrations. Overall, Redistribute is a strong option if you need MLS-direct listing data with robust compliance and governance for analytics and product use.

ProspectNow

ProspectNow is a U.S.-wide property and owner database that combines comprehensive coverage (150M+ properties) with predictive analytics to flag likely sellers and refinances. It shines for prospecting and marketing: you get ownership details, phone and email contacts, sales and loan history, comps, and business/tenant data in one interface or via API and bulk files.

Downsides include opaque public pricing, mixed reviews around data accuracy in some markets, and a bit of a learning curve for new users. Overall, ProspectNow is a strong fit if your priority is lead generation and outreach powered by predictive property and owner intelligence rather than pure valuation or underwriting analytics.

Versium

Versium is a data technology company that specializes in identity resolution and data enrichment for B2B and B2C marketers, including real estate investors and service providers. Its Versium REACH platform uses a large proprietary identity graph to append phones, emails, and other contact details to homeowner and consumer lists at scale, which is ideal for skip tracing and outreach.

It’s especially strong when you need cost-effective, bulk contact enrichment rather than full property attributes. Overall, Versium is a good fit if your real estate use case is marketing- and lead-gen-focused, and you want accurate contact data to plug into campaigns and sales workflows.

Success.ai

Success.ai is an AI-powered sales engagement and email outreach platform aimed at helping teams automate lead generation and warm up inboxes. It offers tools like campaign sequencing, AI-written emails, lead scraping, and email warmup to improve deliverability and reply rates. The platform is designed to be relatively user-friendly, with dashboards for tracking opens, clicks, and responses across campaigns.

The trade-offs are that it’s more focused on outbound email and prospecting than deep analytics or CRM, and real results still depend heavily on list quality and messaging. Overall, Success.ai is a good fit if you want to scale cold outreach with AI assistance and built-in deliverability tools rather than manage everything manually.

Fusion AI Solutions

Fusion AI Solutions is an Australia-focused real estate data provider offering weekly updated sales and rental datasets plus niche feeds like school-focused POI data. Its strength is fresh, time-series market data (around 18 months of history) that works well for valuation models, market analytics, and data-driven marketing across Australian property markets.

Pricing is relatively accessible and transparent via data marketplaces, with small-business-friendly subscriptions and free samples. Overall, Fusion AI Solutions is a good fit if you need frequently updated, Australia-only real estate transaction and rental data rather than a global, multi-country property database.

Grepsr

Grepsr is an AI-powered web data extraction and Data-as-a-Service platform that collects, cleans, and delivers structured web data for analytics and BI. It combines a managed service with a self-service platform, handling scraping, QA, scheduling, and delivery into your cloud or warehouse. Strengths include strong data quality controls, scalable infrastructure, and transparent, record-based pricing.

Since it’s general-purpose rather than real-estate-specific, you’ll usually use it to build your own custom property or market datasets. Overall, Grepsr is a solid choice if you want a reliable partner to automate large-scale web data collection for real estate or competitive intelligence.

Alesco Data

Alesco Data is a U.S.-focused marketing data provider with large consumer, homeowner, and mortgage datasets sourced from official records. Its value for real estate is in new-homeowner and homeownership data, plus broad consumer attributes for targeting and enrichment.

Overall, it’s a solid choice when your use case is marketing- and outreach-heavy and you need rich homeowner and consumer data rather than a pure property-records platform.

Immobiliare.it

Immobiliare.it is Italy’s leading real estate portal and the data engine behind the Immobiliare.it Insights analytics suite. Insights turns live and historical listing, demand, and transaction data into tools for banks, investors, and developers, with modules for market trends, comparables, and portfolio analysis.

Its strengths are hyperlocal Italian coverage, rich location and energy indicators, and flexible delivery via dashboards, reports, and APIs. Overall, it’s a top pick when you need detailed, Italy-specific market data and analytics rather than a generic multi-country feed.

Zillow

Zillow is the leading U.S. real estate portal, with a huge database of homes for sale and rent, plus its well-known Zestimate and Rent Zestimate valuations. It also offers research datasets and some APIs that are widely used for analytics and modeling.

However, it’s primarily a consumer platform, so bulk and programmatic data access are more limited and tightly governed than with dedicated B2B vendors. For that, you'll need a Zillow scraper.

Realtor.com

Realtor.com is one of the biggest U.S. real estate portals, with millions of listings plus tools for neighborhoods, schools, and local trends. For data, the research center publishes housing stats and time-series metrics by ZIP, metro, and state based on a large MLS-listed for-sale database.

Because it’s primarily a consumer site rather than a data vendor, bulk or programmatic access is limited. If you need data for real estate from this website, check our article explaining how to scrape Realtor.

Redfin

Redfin provides housing market data, pricing trends, and detailed listing information. Access Redfin data via our Redfin scraper API.

Redfin is a major U.S. real estate portal and brokerage that offers rich listings, sold-history, and pricing data plus its own home-value estimates and market analytics. For data-driven work, many teams either use Redfin’s downloadable public data (like their market and sales datasets) or use a Redfin scraper API to collect listing and property details from the site.

Idealista

Idealista is the leading real estate portal in Spain and a major player in Portugal and Italy, with extensive residential and commercial listings. Its idealista/data arm turns listing and demand data into AVMs, market reports, APIs, and dashboards for banks, investors, and agencies. It’s particularly strong for hyperlocal, frequently updated Southern European market intelligence.

However, Idealista API is needed for up-to-date access to their listings and market data instead of manually downloading or copy-pasting.

Food for Thought

Working with real estate data is not without its challenges. Data formats often vary widely between providers, APIs may be limited or non-existent, and rate limits or licensing restrictions can hinder access. Coverage gaps, especially in less-populated regions or international markets, add complexity.

Because of these hurdles, many teams rely on additional tools to extract and unify data from multiple sources, ensuring a comprehensive and consistent dataset. For practical advice, see our guide on how to scrape real estate.

Extract Real Estate Data With ScrapingBee

While ScrapingBee is not a traditional data provider, it acts as a powerful Real Estate Scraper and access layer. It enables you to retrieve structured real estate data from websites, marketplaces, and portals, especially where no official API exists.

ScrapingBee helps you bypass common roadblocks like IP blocks, JavaScript rendering, and rate limits. It scales your requests and extracts clean, structured data, making it easier to integrate into your workflows.

Ready to get started?

If your team needs flexible, reliable access to real estate data from portals, listings, and market sources without relying on official APIs, ScrapingBee is here to help.

Our platform simplifies data extraction, letting you focus on analysis and decision-making.

Sign up today and unlock the power of real estate data with ScrapingBee’s real estate data services.

Best Real Estate Data Providers FAQs

What is the best real estate data provider?

The best provider depends on your specific needs—whether it’s valuation, lead generation, or market intelligence. ATTOM, CoreLogic, PropertyShark, Zillow, and ProspectNow are among the top choices.

Which real estate databases offer the most accurate property data?

Providers like ATTOM and CoreLogic are known for their accuracy and comprehensive coverage, often used by enterprises and professionals.

What type of real estate data do providers typically supply?

Data includes property records, listings, valuations, ownership info, mortgage data, neighborhood analytics, and market trends.

How do real estate data providers collect and verify information?

They gather data from public records, MLS databases, government filings, and proprietary sources, often applying verification and normalization processes.

How can I access real estate data if a site doesn’t offer an API?

Tools like ScrapingBee enable you to extract structured data from websites without official APIs, bypassing blocks and rendering JavaScript as needed.

What should I consider when choosing a real estate data platform?

Consider accuracy, update frequency, geographic coverage, data types, API availability, licensing, and cost.

Are there free real estate data providers?

Some providers offer limited free data or trial access, but comprehensive, accurate data usually comes at a cost.

Is web scraping legal for real estate data collection?

Web scraping legality varies by jurisdiction and website terms of service. It’s important to comply with legal guidelines and respect data usage policies.