--- title: "7 Best Real Estate Data Providers in 2026" description: "ATTOM, Cotality, CoStar, RentCast, Datafiniti, PropertyData and Zenrows compared on data depth, coverage, refresh, delivery, formats and pricing, with a use-case table and a buy-or-collect guide." --- # 7 Best Real Estate Data Providers in 2026 > ATTOM, Cotality, CoStar, RentCast, Datafiniti, PropertyData and Zenrows compared on data depth, coverage, refresh, delivery, formats and pricing, with a use-case table and a buy-or-collect guide. Source: https://www.zenrows.com/blog/real-estate-data-providers Are you tracking real estate listings, building a property dataset, or analyzing market prices, and need a real estate data provider that fits your market and workflow? You're in the right place. This guide compares 7 real estate data providers. It covers what real estate data each provider offers, which regions it covers, how often that data is refreshed, how you access it, the formats it's delivered in, and pricing. Every price and refresh figure below comes from the provider's own pages, checked in October 2026. **The short answer: for licensed US property records and ownership history, ATTOM and Cotality (formerly CoreLogic) are the deepest datasets. For commercial real estate it's CoStar, and for a self-serve property API with public pricing it's RentCast. If you need listings from specific portals with your own fields and refresh schedule, collect them with a web data API like [Zenrows](/solutions/real-estate).** ## What Is a Real Estate Data Provider A real estate data provider is **a service that gives you property and market data** you can use for analysis, operations, or a product. This can include listings, price and status history, property facts, comps, valuations, ownership signals, and commercial property signals. Providers source data from listing portals, broker sites, Multiple Listing Service (MLS) feeds, public records, and proprietary databases. They deliver it through an application programming interface (API), bulk files, scheduled exports, or portal downloads. **There are two types of real estate data providers**. One sells packaged datasets or portal exports with a fixed set of fields. The other lets you collect from your chosen sources, pick the exact fields you need, and refresh on your schedule. ![Two ways to get real estate data: a packaged dataset with the provider's sources, fields and refresh, or your own sources through a web data API](/blog/_img/real-estate-data-buy-vs-collect.png) ## What Kinds of Real Estate Data Can You Get? Most providers sell some mix of these data types. Knowing which ones you need narrows the list fast. - **Property characteristics**: Beds, baths, square footage, lot size, year built, property type, and parcel identifiers. - **Ownership and transaction records**: Owner names, deeds, sale history, and mortgages, usually drawn from county recorder offices. - **Tax and assessment data**: Assessed values and property tax records from county assessors. - **Valuations**: Automated valuation models (AVMs), which estimate a property's value from comparable sales, plus rent estimates. - **Listings**: For-sale and for-rent listings with price, status, days on market, photos, and agent details, from MLS feeds or listing portals. - **Distress signals**: Foreclosure and pre-foreclosure filings. - **Neighborhood and risk data**: Schools, demographics, permits, flood and climate risk. - **Commercial data**: Leases, tenants, sale comps, and occupancy for office, retail, industrial, and multifamily property. ## What to Look for in a Real Estate Data Provider Picking a real estate data provider gets easier when you compare the right criteria. Here is what you should look for: - **Data types and depth**: Check the exact fields you need and whether the provider includes history and supporting signals, not just a basic snapshot. - **Supported markets or regions**: Confirm coverage where you operate, since coverage can vary by country, state, county, city, or property type. - **Update frequency**: Verify how often each dataset refreshes and match that cadence to your use case, especially for price and status changes. - **Delivery method and integrations**: Decide whether you need an API for automation, bulk files for backfills, or portal exports for occasional pulls. - **Output formats**: Confirm whether you'll receive JSON, CSV, Excel, XML, or reports, and whether the output stays consistent across endpoints and exports. - **Flexibility and control**: Check whether you can choose sources, define fields, and control refresh schedules, or whether you're limited to a fixed schema and predefined reports. - **Licensing and usage rights**: Check what the license lets you do with the data, such as showing it in your product or sharing it with clients. MLS data in particular comes with display rules. - **Pricing**: Identify the billing unit, such as per user, per record, per request, or credits, then estimate cost based on your expected volume. If you need to make a quick decision, the table below summarizes the top real estate data providers we'll cover. | Provider | Real Estate Data Types And Depth | Supported Regions | Data Refresh Frequency | How You Access The Data | Output Formats | Pricing | | --- | --- | --- | --- | --- | --- | --- | | **Zenrows** | Collect real estate data from your chosen sources. You define the fields and extraction logic | The sites and countries you target | On your schedule | API, Batch jobs, CLI, MCP | HTML, Markdown, JSON, screenshots | Starts at $16/month, free plan available | | **ATTOM** | Property facts, ownership, transactions, AVM, and related datasets | US | Assessor and recorder data daily, AVM monthly | API, Property Navigator portal, bulk files, Snowflake, Databricks, MCP | JSON, XML, bulk files | Property Navigator from $499/year; API on quote | | **Cotality** | Property records, MLS data, risk scores, and analytics | US | Updated continuously | REST API, MCP servers | JSON | On quote | | **CoStar** | Commercial properties, leases, sale comps, and tenants | US, UK, Canada, Europe | Not published | CoStar platform, data feeds via sales | Platform and feeds | Subscription, on quote | | **RentCast** | Property records, owner details, value and rent estimates, listings, market trends | US | Over 500,000 updates daily | API, MCP server, Zapier | JSON | Free tier, then $74 to $449/month | | **Datafiniti** | Property dataset products and enrichment fields | Primarily US | Records refreshed from sources, with on-demand updates | API, portal, bulk downloads | JSON, CSV | Credit-based plans, free trial | | **PropertyData** | UK property data, prices, listings, valuations, and related signals | UK | Listings near real time, some public datasets monthly | Web app and API | JSON | Web plans from £15/month; API from £30/month | Let's now take a look at each of the real estate data providers in detail. ### Best Real Estate Data Provider by Use Case | If you need | Start with | | --- | --- | | Live listings, prices and status from specific portals or broker sites | Zenrows | | US property records, ownership, and AVMs for an analytics product | ATTOM | | Underwriting, insurance, or risk data at enterprise scale | Cotality | | Commercial leases, comps, and tenant data | CoStar | | A self-serve property and rent API with public pricing | RentCast | | Standardized US property records with bulk downloads | Datafiniti | | UK sold prices, valuations, and EPC data | PropertyData | ## 1. Zenrows ![Zenrows real estate data page: listings, prices, and market data from every portal, on one feed](/blog/_img/zenrows-real-estate-solution.png) Zenrows lets you [scrape real estate data at scale](/blog/scrape-real-estate-data) with control over sources, fields, and output. You define the schema you need, then reuse it as you refresh. Its [Fetch](/products/fetch) API handles JavaScript rendering, proxy rotation, and anti-bot bypass automatically with `mode=auto`, so you get the page from portals that block ordinary scrapers. Around Fetch sit [Extract](/products/extract), [Crawl](/products/crawl), and [Batch](/products/batch), which together make Zenrows web data infrastructure for collecting [real estate data](/solutions/real-estate) from the sources you choose. ### Data Types and Depth - It supports the real estate fields available on your target platform, such as pricing, beds and baths, square footage, property type, address and location details, photos, agent and broker details, descriptions, amenities, fees, etc. - You define the schema and extraction rules, so the same fields stay consistent across runs. [Extract](https://docs.zenrows.com/extract/setup) returns a listing page as structured JSON with no selectors to maintain, and keeps working when the page layout changes. ### Coverage and Supported Markets - Works across the real estate listing platforms and broker sites in the markets you target, such as [Zillow](/scrape/zillow), [Idealista](/scrape/idealista), and [Crexi](/scrape/crexi). So you can match sources to the markets you care about. - It supports targeting by location through geo-targeted proxies when sites serve different results by country or region. - [Crawl](https://docs.zenrows.com/crawl/introduction) starts from a portal's search results page and returns every listing page it finds, so you don't write the pagination loop yourself. ### Update Frequency - You refresh on your schedule, such as daily, weekly, or based on monitoring needs. - Batch takes your list of listing URLs as one job and can run it on a schedule, so you can track price and status changes over time without running your own queue. ### Delivery Method and Integrations - It delivers data through an API endpoint that fits ETL pipelines, backend services, and scheduled jobs. - Integrates into storage and analytics flows without relying on portal exports. - It supports AI-based real estate data extraction workflows through its [LangChain integration](/blog/real-estate-ai-agent), and the [Zenrows MCP server](/mcp) lets AI agents fetch listings directly. ### Output Formats - It returns structured JSON with Extract or CSS selector extraction. - It can also return HTML, Markdown, plain text, and screenshots. ### Flexibility and Control - You choose the sources, define the exact fields, and control the extraction logic and refresh workflow. - You can adjust extraction when page layouts change without switching real estate data providers or waiting for a fixed dataset update. ### Pricing - Starts at $16 per month. A free plan includes 5,000 credits every month with no credit card required. Zenrows also offers ready-made datasets, such as [US real estate listings](/datasets/us-real-estate). ## 2. ATTOM ![ATTOM homepage: property data and intelligence built for AI](/blog/_img/attom-homepage.png) ATTOM is a U.S.-focused real estate data provider with a portal product called Property Navigator and a Property Data API. It is a packaged data option, so you work within the fields and reports ATTOM exposes. ATTOM says its data covers more than 160 million U.S. properties. ### Data Types and Depth - It covers assessor data, which includes county property tax and parcel records. - It covers recorder data, which is county deed and mortgage filings. - It includes sales history, mortgage history, owner details, foreclosure data, and AVM outputs through dedicated endpoints. - It adds neighborhood, school, permit, and risk datasets. ### Coverage and Supported Markets - It focuses on the United States. - It covers both residential and commercial properties. ### Update Frequency - Assessor and recorder data are updated daily, according to [ATTOM's update schedule](https://cloud-help.attomdata.com/article/611-attom-cloud-updates). - AVM data is updated monthly. ### Delivery Method and Integrations - It supports REST API delivery through the Property Data API, with a 30-day free trial. - Property Navigator supports portal access with reports and list exports. - Bulk Data Licensing delivers files, and cloud delivery runs through Snowflake and Databricks. - An MCP server gives AI assistants access to ATTOM data. ### Output Formats - API responses are available in JSON or XML, depending on the response format requested. - Portal exports support list downloads based on the report or workflow you run. ### Flexibility and Control - You work within predefined endpoints, attributes, and search parameters. - You choose which resources to call based on your use case. ### Pricing - Property Navigator Professional costs $499 per year for one user, with 200 reports and 2,000 data list exports a month and a 7-day free trial. ATTOM doesn't offer a monthly plan. - API, bulk, and enterprise pricing is quoted by ATTOM's sales team. ## 3. Cotality (Formerly CoreLogic) ![Cotality homepage: intelligence beyond bounds](/blog/_img/cotality-homepage.png) Cotality is the name CoreLogic has used since its March 2025 rebrand. It's one of the largest US property data companies, and lenders, insurers, and mortgage servicers use it for underwriting and risk. Its developer platform says its data spans more than 150 million properties. It's a packaged data option sold to enterprises. ### Data Types and Depth - It covers property characteristics, ownership, tax and assessment records, and transaction history. - It draws on county assessors, MLS feeds, permit filings, satellite imagery, and climate models. - It adds property analytics such as valuations, market data, and risk scores. ### Coverage and Supported Markets - It covers US residential and commercial property. - It's built for national coverage, which suits lenders and insurers with portfolios across many states. ### Update Frequency - Cotality says its data is updated continuously. ### Delivery Method and Integrations - It delivers data through REST APIs. - It offers MCP servers so AI assistants can query live property data. ### Output Formats - The REST APIs return structured JSON. ### Flexibility and Control - You work within Cotality's data products and endpoints. - Access is set up with Cotality, often as part of an enterprise agreement. ### Pricing - Pricing is not published. You get a quote from Cotality's sales team. ## 4. CoStar ![CoStar Group homepage](/blog/_img/costar-group-homepage.png) CoStar is the commercial real estate (CRE) data provider most brokers, investors, and lenders use. CoStar Group reports tracking more than 8.5 million commercial properties, with lease, sale, and tenant data gathered by its research team. It also owns LoopNet, a commercial listing marketplace. It's a packaged data option sold as a subscription. ### Data Types and Depth - It covers commercial properties across office, retail, industrial, and multifamily. - It includes leases, sale comps, tenants, and market analytics. ### Coverage and Supported Markets - It covers the US, and has localized products for the UK, Canada, and Europe. - It focuses on commercial property rather than single-family homes. ### Update Frequency - CoStar doesn't publish a refresh schedule. Its researchers verify and update records on an ongoing basis. ### Delivery Method and Integrations - You access the data through the CoStar platform. - Data feeds are arranged through CoStar's sales team. ### Output Formats - Reports and exports from the platform, and data feeds by agreement. ### Flexibility and Control - You work within CoStar's research data and platform tools. - You don't define your own fields or sources. ### Pricing - Pricing is not published. CoStar sells subscriptions through its sales team. ## 5. RentCast ![RentCast API page: real estate and property data API](/blog/_img/rentcast-api-homepage.png) RentCast is a self-serve property data API for US residential and commercial properties, with public pricing and a free tier. It says it covers more than 150 million property records. It's a packaged data option, but one you can start using without a sales call. ### Data Types and Depth - It includes property records with attributes, tax, sale history, and owner details. - It returns value and rent estimates with comparable properties. - It includes active sale and rental listings, and market trends for over 38,000 zip codes. ### Coverage and Supported Markets - It covers the United States, with active listings in all 50 states. ### Update Frequency - RentCast says it processes over 500,000 updates daily. ### Delivery Method and Integrations - It delivers data through a REST API. - An MCP server connects it to AI agents and assistants. - A Zapier integration sends data to CRMs and spreadsheets. ### Output Formats - The API returns JSON. ### Flexibility and Control - You work within RentCast's endpoints and fields. - You choose which endpoints to call and how often. ### Pricing - The Developer plan is free with 50 requests a month. - Paid plans are Foundation at $74 per month (1,000 requests), Growth at $199 per month (5,000 requests), and Scale at $449 per month (25,000 requests). ## 6. Datafiniti ![Datafiniti homepage](/blog/_img/datafiniti-homepage.png) Datafiniti provides United States property data through a portal, an API, and bulk downloads. It's a packaged dataset model with a standardized schema, so you work within the fields Datafiniti exposes. ### Data Types and Depth - It includes property characteristics and location details. - It includes tax and assessment-related fields. - It includes transaction and sale history fields where available. - It includes on-market and off-market inventory fields based on the record type. ### Coverage and Supported Markets - It is positioned around U.S. property data. - It includes multiple property categories, including residential and commercial. ### Update Frequency - Records are refreshed from their sources and carry a `dateUpdated` field, so you can see how fresh each one is. - A Targeted Updates endpoint refreshes chosen records on demand. ### Delivery Method and Integrations - You can pull records through API queries. - You can export from the portal. - You can use bulk downloads for larger pulls. - An MCP server and SDKs for Python and Node.js are available. ### Output Formats - Real estate data is provided as CSV or JSON. ### Flexibility and Control - You can control what you pull through limited filters and API parameters. - The schema is fixed to Datafiniti's field set rather than a custom schema you define. ### Pricing - Datafiniti uses credit-based plans, month-to-month or custom, and offers a free trial. It doesn't publish a price list. ## 7. PropertyData ![PropertyData homepage: the leading analytics tool for investors and developers](/blog/_img/propertydata-homepage.png) PropertyData is a UK-focused real estate data provider. It offers listings-derived data from portals like Rightmove, Zoopla, and OnTheMarket, plus separate datasets such as Land Registry "Price Paid" and Energy Performance Certificate (EPC) records. ### Data Types and Depth - It provides listings-derived market data sourced from portals such as Rightmove, Zoopla, and OnTheMarket. - It provides Land Registry "Price Paid" data as a separate dataset. - It provides Energy Performance Certificate data as a separate dataset. - Its API adds valuations, rents, yields, planning applications, and demographic data. ### Coverage and Supported Markets - It is positioned around United Kingdom coverage, with dataset-level coverage details published per endpoint. - Coverage varies by endpoint, so you confirm it at the dataset level before you build around it. ### Update Frequency - Land Registry "Price Paid" data is updated monthly, typically toward the end of the calendar month. - Energy Performance Certificate data is updated monthly. - Listings-derived market data is near real-time. ### Delivery Method and Integrations - The web app gives investors searches, valuations, and PDF reports. - Data is delivered through the PropertyData API with monthly credit bundles. API access is a separate plan from the web app. ### Output Formats - API responses are returned as JSON. ### Flexibility and Control - You work within predefined endpoints and filters, and usage is controlled through API credits. - The schema is defined by the endpoint, rather than a custom schema you define across arbitrary sources. ### Pricing - Web app plans start at £15 per month (ex-VAT) for 20 credits, with a 14-day free trial. - API plans start at £30 per month for 2,000 API credits. ## Buy a Dataset or Collect Your Own? Buy a packaged dataset when the data you need comes from public records or MLS feeds and you're fine with the provider's fields. Ownership, deeds, tax assessments, and AVMs are hard to rebuild yourself, and providers like ATTOM and Cotality have spent years assembling them. Collect your own data when the information you need lives on specific listing portals or broker sites, when you need fields a provider doesn't expose, or when you need fresher data than a provider's refresh cycle gives you. Asking prices, listing status, days on market, and rental listings change daily, and a web data API like Zenrows fetches them from the source on your schedule. Many teams do both: a licensed dataset for property records, and their own collection for live listings in the markets they track. [Scraping API vs building your own](/glossary/web-data-access/scraping-api-vs-building-your-own) covers the trade-offs of the collection side. ## How Much Does Real Estate Data Cost? Real estate data pricing falls into three bands: - **Free and self-serve**: RentCast has a free API tier and paid plans from $74 to $449 per month. Zenrows starts at $16 per month and has a free plan. PropertyData's web plans start at £15 per month. - **Research tools with list prices**: ATTOM's Property Navigator costs $499 per year per user. PropertyData's API starts at £30 per month. - **Enterprise, priced on quote**: Cotality, CoStar, ATTOM's API and bulk data, and Datafiniti's custom tiers. With collection, cost tracks the pages you fetch, so you pay for the listings you actually track rather than a whole national dataset. ## Conclusion Real estate data changes fast, so you need a provider you can refresh reliably without breaking downstream workflows. Packaged providers work when you're fine with fixed fields and predefined exports: ATTOM and Cotality for US property records, CoStar for commercial real estate, RentCast for a self-serve API, Datafiniti for standardized bulk records, and PropertyData for the UK. If you need control over sources, fields, extraction logic, and refresh schedules, Zenrows fits that workflow and is designed to automatically bypass protected pages that block real estate scraping. To turn that data into deals, see [real estate lead generation](/blog/lead-generation-real-estate). [Start building free](https://app.zenrows.com/register?prod=universal_scraper&industry=realestate). No credit card required. ## FAQ ### What Is the Best Source for Real Estate Data? It depends on the data. For US property records, ownership, and valuations, ATTOM and Cotality are the most comprehensive sources. For commercial real estate, CoStar is the standard. For live listings, prices, and status from specific portals, collecting the data yourself with a web data API like Zenrows gives you the freshest view. ### Should I Buy a Packaged Dataset or Collect Data From My Own Sources? Buy a packaged dataset when you're fine with a fixed schema and standard exports. Collect from your own sources when you need specific sites, custom fields, or tighter control over update frequency and output. ### How Do I Get Real Estate Data? You can license it from a provider such as ATTOM, Cotality, or RentCast, download public records from county assessor and recorder offices (or HM Land Registry in the UK), or collect listings from real estate websites with a web data API like Zenrows. ### Are There Free Real Estate Data APIs? Yes, with limits on volume. RentCast's Developer plan is free, Zenrows has a free plan with 5,000 credits every month, and many county assessor offices publish property records at no cost. ATTOM offers a 30-day API trial. ### Is the Zillow API Free? Zillow Group lists its APIs, including public records, Zestimates, and MLS listings, on its developer portal, and access terms vary by API. If you need Zillow's public listing pages in your own pipeline, Zenrows [collects Zillow data](/scrape/zillow) through its API. ### How Often Should I Refresh Listing Data to Catch Price and Status Changes? Refresh as often as listings change in your target market and as fast as your use case needs. Daily works for price and status tracking, while weekly can be enough for slower markets or high-level trends. If your real estate data provider doesn't update data frequently, consider Zenrows so you can refresh data on your schedule. ### What Should I Do if a Provider Doesn't Cover My Target Sites or the Fields I Need? If a provider doesn't cover your target sites or the fields you need, use a scraping API like Zenrows. It lets you pull data directly from the sites you care about, define the exact fields you want, and refresh on your schedule instead of waiting for a provider's dataset and schema.