Top 10 Real Estate Data Providers You Should Know in 2025

It’s 2025, and if you’re anywhere near the real estate world—whether you’re a broker, a PropTech founder, or just someone who’s spent a little too much time on Zillow “for research”—you know that data is the new curb appeal. Gone are the days of waiting for quarterly MLS printouts or calling in favors to get a peek at last month’s sales. Today, the best deals and the sharpest strategies are powered by real-time, structured data from a growing universe of providers. And let me tell you, as someone who’s spent years building automation tools for business users, I’ve never seen the real estate data landscape move this fast.

But with so many options out there—traditional giants, nimble web scrapers, regional specialists, and AI-powered platforms—how do you know which real estate data provider is right for you? Let’s take a deep dive into the top 10 real estate data providers you should know in 2025, and I’ll share my take on how the industry is shifting (and why that’s a good thing for teams of all sizes).

Why Real Estate Data Providers Matter in 2025

Real estate has always been about information, but in 2025, data is the lifeblood of the business. Whether you’re a sales agent looking for fresh leads, an operations manager tracking portfolio performance, or an investor on the hunt for the next big opportunity, having access to accurate, up-to-date property data is mission-critical. The rise of PropTech is no accident—the global market is projected to hit , nearly doubling by 2032, fueled by the explosion in real estate data usage and analytics.

The range of data available now is staggering: . These insights empower smarter moves at every level—predicting profitability, finding the best locations, timing buy/sell decisions, and allocating marketing spend. And the best part? The democratization of data means that top-tier insights aren’t just for big institutions anymore. No-code interfaces and affordable plans are letting solo agents and startups harness the same kind of intel that once required an entire research department.

How We Selected the Top Real Estate Data Providers

With so many companies claiming to have “the best” data, I wanted to lay out exactly how I evaluated and ranked these providers. Here’s what I looked for:

• Data Coverage & Depth: Does the provider cover local, national, or global markets? Are both residential and commercial sectors included? Is there historical data for trend analysis?
• Update Frequency: How fresh is the data? Real-time or daily updates scored higher than quarterly or annual refreshes.
• Data Types and Features: Beyond basic property details, do they offer analytics, visualizations, or predictive insights?
• Ease of Access & Integration: Is there a user-friendly interface, API, or no-code tool? Can you easily export data to Excel, Google Sheets, or your CRM?
• Pricing Model: Is there a free tier or trial? Are plans transparent and scalable for small teams, or only enterprise contracts?
• Unique Innovations: Are they using AI, web scraping, or alternative data sources? Can they automate what used to be manual (like reading PDFs or images for data)?

I wanted this list to reflect the full spectrum—from heavyweight data aggregators to agile AI-driven platforms—so you can find the right fit, whether you’re a solo agent or a multinational firm.

The Top 10 Real Estate Data Providers for 2025

Let’s jump into the list. You’ll notice a mix of established names and innovative upstarts, global coverage and regional specialists, and both traditional and alternative data sources.

1. : AI-Powered Web Scraping for Custom Real Estate Data

I’ll start with —not just because I’m biased (okay, maybe a little), but because it genuinely represents where real estate data is headed. Thunderbit is an that lets you extract up-to-the-minute data directly from any website—think Zillow, Redfin, , or even niche MLS sites—without writing a single line of code.

What makes Thunderbit different? You just describe the data you want in plain English (“Scrape all San Francisco two-bedroom listings with price and Zestimate”), and Thunderbit’s AI parses the site, suggests column names, and pulls the data into a structured table. It even handles subpage scraping (great for grabbing owner info from detail pages), pagination, and can export to Excel, Google Sheets, Airtable, or Notion.

Key Features:

• AI Web Scraping (No-Code): No CSS selectors or manual setup—just tell the AI what you want.
• Natural Language Interface: Describe your columns, and Thunderbit configures the scraper.
• Custom Data from Any Site: Not limited to a fixed database—scrape MLS, property portals, county records, or even social media.
• Integration & Export: Download as CSV/Excel or send directly to Sheets, Airtable, or Notion.
• Freemium Pricing: Free tier available, with credit-based plans as your needs grow.
• Use Cases: Lead generation, competitor monitoring, pricing analysis, and rapid market research.

Thunderbit is especially powerful for sales, marketing, and analyst teams who need custom, on-demand data without the IT overhead. I’ve seen agents use it to pull fresh listings, track price drops, and even scrape open house announcements—tasks that used to take hours now take minutes. And because it’s site-agnostic, you’re not limited to what a traditional provider decides to include in their database.

Want to see it in action? and try scraping your favorite real estate site. (Just don’t blame me if you get addicted to building your own custom datasets.)

2. Bright Data

Bright Data is a global powerhouse in web data collection, offering both ready-made datasets and custom web scraping solutions at enterprise scale. If you need property data from anywhere in the world—Zillow in the US, Zoopla in the UK, or portals in Asia—Bright Data probably has a pipeline for it.

Key Features:

• Extensive Global Coverage: Data from over 200 countries.
• Pre-Built Datasets: Regularly updated feeds from major real estate sites.
• Custom Scraping Services: Define your own data points and sources.
• Robust Infrastructure: Handles proxies, CAPTCHAs, and dynamic content.
• Flexible Delivery: API, cloud storage, or downloadable files.

Bright Data is best for enterprises and data-intensive operations—think analytics firms, hedge funds, or global PropTech companies. The platform is powerful but comes with a learning curve and a premium price tag, so it’s probably overkill for a solo agent or small team.

3. APISCRAPY: AI-Driven Web Scraping and Automation Platform

APISCRAPY is all about automation and AI-driven data extraction. It offers APIs to scrape and access data from real estate sites worldwide, including , Zillow, Trulia, and even MLS systems.

Key Features:

• AI-Powered Data Extraction: Intelligently grabs structured info from unstructured pages.
• Broad Market Coverage: 249 countries, with support for major real estate sites.
• Ready-to-Integrate API: Business-ready data in JSON or CSV.
• Managed Infrastructure: Handles proxies, CAPTCHAs, and JavaScript-heavy sites.
• Customization & Scalability: Highly customizable queries and mass crawling.

APISCRAPY is ideal for tech-centric real estate companies and data engineers who need custom, large-scale scraping without building their own infrastructure. It’s not a simple GUI tool, but if you’re comfortable with APIs, it’s a powerful addition to your stack.

4. BatchService

BatchService is a U.S.-focused provider specializing in foreclosure data, skip tracing (owner contact info), and actionable leads for investors and agents. If you’re looking for distressed property opportunities or need to contact owners directly, BatchService is a go-to.

Key Features:

• Comprehensive U.S. Property Database: Over 120 million properties.
• Foreclosure & Distressed Property Data: Up-to-date lists of pre-foreclosures, auctions, bank-owned homes, and more.
• Owner Contact Information: Accurate phone numbers and emails via skip tracing.
• Real-Time Updates & Predictive Analytics: Monthly or more frequent updates, with sale probability forecasts.
• User-Friendly Platform & API: Web app for list building, plus API for integration.

BatchService is perfect for U.S. real estate investors, wholesalers, and agents focused on lead generation and direct outreach.

5. Think Data Group

Think Data Group offers a massive collection of U.S. residential and commercial property records, combined with analytic insights and predictive models.

Key Features:

• Massive U.S. Property Dataset: 120+ million properties, 136 billion data points.
• Monthly Updates: Near real-time insights into sales, ownership changes, and more.
• Commercial + Residential Focus: Coverage for both sectors.
• Predictive Analytics: 90-day sale probability forecasts.
• Data Consulting and Custom Solutions: Custom data feeds and integration.

Think Data Group is best for enterprise and institutional clients—REITs, hedge funds, or large PropTech firms—who need comprehensive data and advanced analytics.

6. TovoData

TovoData is a leader in U.S. residential property data, with a focus on mortgage, ownership, and valuation data.

Key Features:

• Nationwide Residential Coverage: Over 170 million U.S. properties.
• Mortgage and Loan Data: Details on existing mortgages, equity, and loan information.
• Property & Homeowner Insights: Standard property details plus homeowner info and demographics.
• AVM and Valuations: Automated valuations and predictive models.
• API and Data Solutions: Real-time queries, bulk files, and match & append services.

TovoData is a top choice for mortgage lenders, insurance companies, marketers, and analysts who need reliable, up-to-date housing data at scale.

7. Matrixian

Matrixian is an international data and technology company based in the Netherlands, offering global real estate insights and advanced analytics.

Key Features:

• Worldwide Property Data Coverage: Data from 249 countries.
• Automated Valuation Model (AVM): AI-driven property valuations across regions.
• Market & Customer Insights: Detailed reports on trends and customer behavior.
• Geocoding & Spatial Analysis: Advanced geolocation and mapping services.
• Customized Solutions: Tailored data and consulting for enterprise clients.

Matrixian is ideal for global real estate firms, financial institutions, and analytics companies needing cross-border data and high-end analytics.

8. Immobiliare.it Insights

Immobiliare.it Insights is the analytics arm of Italy’s largest real estate portal, specializing in Italian and Greek market data.

Key Features:

• Specialization in Italy and Greece: Deep local knowledge and tailored data models.
• 9+ Years of Historical Data: Long-term trend analysis.
• Detailed Market KPIs: Supply/demand indices, price trends, rental yields, and more.
• Residential and Commercial Coverage: Comprehensive data for both sectors.
• Segmented and Actionable Data: Granular segmentation by region, city, and property type.

If you’re focused on Southern European real estate, Insights is unmatched for local depth and historical perspective.

9. Realie.ai: AI-Powered Alternative Data for U.S. Properties

Realie.ai is a newcomer shaking up the U.S. property data space with affordable, AI-driven data sourced directly from over 3,100 county offices.

Key Features:

• Nationwide County-Sourced Data: 180M+ properties, with ownership, sales, mortgage, and deed records.
• AI Data Processing: Cleans and standardizes data across counties.
• Affordable Pricing & Free Tier: Low-cost plans and a free tier for small-scale use.
• High-Volume API Returns: Efficient API design for developers.
• User-Friendly Platform: Modern interface and no-code property report lookups.

Realie.ai is perfect for startups, small businesses, and developers who need affordable U.S. property data without enterprise overhead.

10. BrightCat Data & Analytics: Canadian Real Estate Intelligence Platform

BrightCat is a Canadian-focused provider offering rich insights into both residential and commercial markets nationwide.

Key Features:

• Canadian Nationwide Coverage: Over 8 million property records, updated with 50,000 new records monthly.
• Residential & Commercial Data: Listings, sales, rental markets, and analytics.
• Real-Time Tracking: Live updates on listings, sales, and rental trends.
• Historical Trends & Forecasting: Tools for analyzing long-term market changes.
• Analytics & Reports: Dashboards for forecasting, vacancy rates, and more.

BrightCat is the go-to for enterprises and professionals deeply involved in Canadian real estate, from investors to banks to brokerages.

Comparing Real Estate Data Providers: Features, Data Sources, and Pricing

Here’s a quick side-by-side comparison to help you find the right fit:

Traditional vs. Alternative Data Providers: Which Is Right for You?

Let’s talk strategy. Traditional real estate data providers (like Think Data Group, TovoData, BatchService) have been around for years, compiling property info from official records and industry partnerships. They’re great for highly structured, historical datasets—think 30+ years of deed recordings or nationwide tax rolls. But they can be slow to update, expensive, and sometimes a bit rigid.

Enter alternative data providers and web scraping tools (like Thunderbit, Bright Data, APISCRAPY, Realie). These platforms pull in data from unconventional or real-time sources—websites, social media, even foot traffic. The big advantage? Timeliness and granularity. You can spot hyper-local trends, monitor competitor listings, or analyze rental rates as they change week to week.

In fact, . That’s a huge shift from a decade ago.

So which is right for you?

• If you need compliance, historical analysis, or official data for underwriting, stick with traditional providers.
• If you’re a fast-paced investor, analyst, or PropTech founder looking for an edge, layer in alternative data for real-time insights.
• Often, the best approach is a hybrid: use traditional data for the foundation, and supplement with alternative data for color and early signals.

How Thunderbit Is Changing the Real Estate Data Game

Let’s zoom in on why Thunderbit is such a leap forward for real estate teams—especially those who don’t have a full-stack engineering squad on speed dial.

No-Code, Natural Interaction: Thunderbit lets you “talk” to the AI about what you want to scrape. Open a listing site, ask for addresses, prices, and number of bedrooms, and Thunderbit configures itself. No more wrestling with CSS selectors or praying your old scraper script still works after the site’s latest redesign.

Any Website Becomes a Data Source: Want to monitor a niche MLS, scrape FSBO listings from Craigslist, or analyze Google reviews for sentiment? Thunderbit’s AI is site-agnostic—it adapts to different formats and turns the entire web into your personal real estate data repository.

Speed and Adaptability: What used to take weeks of development now takes minutes. Thunderbit’s AI “reads” page structure, so when a website changes layout, it adapts automatically. No more “why did my scraper break again?” headaches.

Empowering Non-Technical Teams: Sales and marketing teams can now gather their own data. I’ve seen agents scrape competitor listings weekly to track pricing, or marketing teams pull rental rates for a real-time index—all without bugging IT.

Use Cases Transformed: From competitor monitoring to pricing analysis and lead generation, Thunderbit makes creative strategies feasible in-house. Imagine scraping public records of newly filed evictions as potential motivated sellers, or tracking price drops to spot motivated listings.

Reduced Costs and Dependencies: Thunderbit’s pricing is accessible (free to start, then low monthly for higher volume), and you’re not locked into what a data provider decides to include. If you want a new metric, just scrape it yourself.

In short, Thunderbit is , making it instant, flexible, and user-driven. It’s turning what used to be a laborious process into something as easy as point-and-click. And as more teams adopt it, the pace of data-driven decision-making in real estate will only accelerate.

Want to see more? Check out the for guides on , , and more.

Choosing the Best Real Estate Data Provider for Your Needs

With so many options, how do you choose? Here’s my advice:

1. Define Your Objectives: Are you generating leads, doing market research, powering an app, or building analytics? Your use case will dictate your provider.
2. Consider Geography: Need U.S.-only data? Go with BatchService, TovoData, Realie, or Think Data Group. Need global? Look at Bright Data, Matrixian, or Thunderbit (for any website).
3. Assess Technical Resources: If you have developers, APIs are great. If not, look for no-code tools (Thunderbit, BatchService’s GUI, BrightCat’s dashboards).
4. Budget and Pricing: Traditional providers can be pricey; newer ones like Thunderbit and Realie offer pay-as-you-go or free tiers.
5. Data Freshness: Need live data? Thunderbit, Bright Data, APISCRAPY, and BrightCat are your friends. Okay with monthly updates? Think Data Group, Matrixian, Immobiliare.it.
6. Quality and Accuracy: Trial the data if possible. Many providers offer demos or sample datasets.
7. Compliance: Make sure your use of the data is legal and ethical, especially if you’re scraping owner contact info.
8. Support: If you need hand-holding, look for providers with strong customer service.
9. Scalability: Will your needs grow? Pick a provider that can scale with you.
10. Trial and Iterate: Run a small pilot before committing. Most providers offer free trials or demos.

Key questions to ask providers:

• What unique data points do you offer?
• How do you source and update your data?
• Can I speak to a reference client?
• What are the limits or overage fees?
• How easy is integration?
• Do you offer a proof-of-concept?
• How do you handle data corrections?
• What support is included?

And don’t be afraid to mix and match. Use TovoData or Realie for your core dataset, and Thunderbit or Bright Data for live trends or alternative indicators.

Conclusion: The Future of Real Estate Data Sourcing

The real estate industry in 2025 is at the intersection of traditional wisdom and tech-driven innovation. Here’s what stands out:

• Data diversity is greater than ever. From legacy property records to real-time web scrapes, professionals have a richer toolkit than ever before.
• Choosing the right provider is pivotal. Match your provider to your goals, budget, and technical capacity—and don’t hesitate to use multiple sources.
• The rise of alternative and AI-driven solutions is accelerating. Tools like Thunderbit and Realie are making data sourcing more on-demand, conversational, and automated.
• Accuracy and freshness are king. The market moves fast. Up-to-date, granular data is your edge.
• Data sourcing is more accessible. Anyone—from a solo agent to a multinational firm—can now access quality real estate data.

As you move forward, experiment with these tools. Most providers have free trials—take advantage of them. If you’ve never used a web scraper, try Thunderbit’s free tier on a small project. If you’ve always used one data source, explore an alternative and compare results.

The future of real estate data sourcing is about integration and proactivity. The best decisions will be those grounded in real, timely, and insightful data. So, outline your data strategy, shortlist a few providers, and run a pilot project. In a world where “location, location, location” is still the mantra, maybe it’s time to add “data, data, data” to the mix.

Here’s to making your smartest real estate moves yet—and staying ahead in a market that’s being reshaped by information as we speak.

Curious to see how Thunderbit can help you build your own custom real estate datasets? , check out our , or dive into more guides on the . And if you have a favorite data provider I missed, let me know—I’m always up for a good data debate (preferably over coffee, not spreadsheets).

FAQs

1. What is a real estate data provider, and why do they matter in 2025?

A real estate data provider aggregates, scrapes, or sources property-related data—such as listings, ownership records, valuations, rental rates, and neighborhood insights—for business use. In 2025, these providers are crucial for agents, investors, and PropTech startups who rely on real-time, accurate data to make informed decisions, identify opportunities, and gain a competitive edge.

2. What’s the difference between traditional and alternative real estate data providers?

Traditional providers (like Think Data Group and TovoData) rely on structured data from public records, tax offices, and institutional partnerships, offering long-term historical datasets. Alternative providers (like Thunderbit and Bright Data) use web scraping, AI, and real-time sources to gather hyper-current or niche data, ideal for fast-moving markets and creative use cases.

3. Which provider is best for non-technical users or small teams?

Thunderbit stands out for non-technical users thanks to its no-code, AI-powered interface. You simply describe the data you need, and the tool does the rest—scraping data from any site and exporting it into structured tables. It’s ideal for agents, analysts, and marketers without coding skills.

4. How do I choose the right provider for my business?

Start by clarifying your goals: lead generation, investment research, app development, or portfolio analysis. Then, consider geography, data freshness, technical resources, pricing, and compliance. Many providers offer free trials, so testing a few before committing is smart.

5. Can I combine data from multiple providers for better insights?

Absolutely. Many real estate professionals use a hybrid strategy: traditional providers for foundational data, and alternative tools like Thunderbit or Realie for real-time, hyper-local, or competitor-specific insights. Combining both helps build a fuller, more actionable picture of the market.