Top 10 Real Estate APIs for Developers in 2026

Real estate APIs save you from building scrapers and maintaining brittle data pipelines. The right one depends on your target market (US vs. Europe), your use case (raw listings vs. predictive analytics), and your budget. Here's a practical comparison of 10 APIs worth evaluating in 2026.

US-Focused

1. ATTOM Data Solutions

Best for: Comprehensive US property data Coverage: United States (155M+ properties) Website: attomdata.com

ATTOM is the deepest US property dataset you can get through an API. It covers 155 million properties with over 9,000 data attributes spanning ownership, valuations, mortgages, deeds, foreclosures, and environmental risk. The data comes from county records, MLS feeds, and ATTOM's own validation pipeline.

Their REST API returns JSON or XML. Most developers use it for property lookups, AVM estimates, neighborhood profiles, and hazard assessments. The environmental risk data — flood zones, wildfire risk, earthquake proximity — is a differentiator that most competitors don't match.

Pricing is custom. You'll need to talk to sales, which is standard at this scale. ATTOM offers sandbox access with a free trial key so you can test endpoints before committing. If you need breadth and depth on US properties, this is the default choice.

2. HouseCanary

Best for: Predictive analytics and property valuations Coverage: United States Website: housecanary.com

HouseCanary focuses on what comes after the data: forecasts, valuations, and risk scoring. Their AVMs (Automated Valuation Models) are updated monthly and cover individual properties, blocks, ZIP codes, MSAs, and state-level aggregates. The RPI Time Series endpoint provides 12-month rental price forecasts.

The API exposes dozens of endpoints across property details, valuations, market analytics, and rental data. It's well-suited for lenders running loan screening, investors doing portfolio analysis, or anyone building tools that need forward-looking estimates rather than just snapshots.

Pricing comes in tiers — individual, professional, and team plans — with a price match guarantee. The models are strong, but you're paying for the analytics layer on top of the data. If your app just needs raw property records, HouseCanary is overkill. If you need predictions, it earns its price.

3. Zillow Group

Best for: Consumer-facing property data with brand recognition Coverage: United States (100M+ homes) Website: zillowgroup.com/developers

Zillow offers close to 20 APIs covering home values, Zestimates, rental prices, mortgage rates, neighborhood stats, and listing data. The free tier gives you 1,000 calls per day per dataset, which is enough for prototyping and small apps.

The Zestimate is Zillow's main draw. Consumers already know and trust it, so apps powered by Zillow data get instant credibility with end users. That said, the API has real limitations. MLS access is invite-only — Zillow and its MLS partners decide who gets in. The developer experience is functional but not particularly flexible compared to purpose-built developer APIs.

Use Zillow when consumer trust matters and you're building for the US residential market. Skip it if you need deep commercial data, full MLS access, or international coverage.

4. RentCast

Best for: Rental market data and rent estimates Coverage: United States (140M+ property records) Website: rentcast.io

RentCast is the best API for rental-focused applications. It covers 140 million property records with rent estimates, active listings (for-sale and for-rent), and historical price and rent trends by ZIP code. The AVM is tuned specifically for rental valuations, not just purchase prices.

The free tier gives you 50 API calls per month — enough to test. Paid plans scale by volume. What makes RentCast practical for small teams is its Zapier integration, which connects to 6,000+ tools without writing code. Their support is responsive, with live chat available seven days a week.

If you're building a rental analysis tool, a property management dashboard, or anything that needs US rent data, RentCast should be your first stop. It's more focused than ATTOM and more accessible than HouseCanary for rental-specific use cases.

5. RealEstateAPI.com

Best for: Property search with parcel boundaries and GeoJSON Coverage: United States Website: realestateapi.com

RealEstateAPI was built for app developers, not analysts. The API focuses on fast property search with filtering, parcel boundaries in GeoJSON format, owner demographics, and historical MLS and mortgage data. If you're rendering property clusters on a map or building a search interface with precise parcel outlines, this is purpose-built for that.

Performance is a priority. The API is designed for high-volume, low-latency use cases where you're querying thousands of properties and rendering results in real time. Data cleaning and normalization happen on their side, so you don't have to wrangle inconsistent records.

Pricing isn't publicly listed — you'll need to contact them. The documentation emphasizes speed and developer ergonomics over data breadth. If you need 9,000 attributes per property, go with ATTOM. If you need fast search with clean geospatial data, RealEstateAPI fits better.

Europe-Focused

6. Stream.Estate

Best for: French and European property data Coverage: France (primary), expanding into broader European markets Website: stream.estate

Stream.Estate aggregates property listings from over 900 French sources — LeBonCoin, SeLoger, BienIci, and hundreds of smaller portals and agency sites. The API ingests 50,000+ new listings daily with real-time updates and sub-200ms response times.

The hard problem Stream.Estate solves is deduplication. The same apartment listed on five different portals appears as a single property with merged data. This alone saves months of development work if you've ever tried to scrape French real estate sites yourself. Beyond listings, the API provides price-per-square-meter analytics, similar property matching, and points of interest (POI) data around each property.

Pricing starts at €99/month (Starter), with Growth at €399/month and Scale at €799/month. There's also a pay-as-you-go option at €0.01/item. No other API provides this level of coverage for the French market through a single endpoint. If you're building anything that touches French or European property data — a marketplace, a pricing tool, an investment platform — Stream.Estate is where you start.

Specialized

7. TovoData

Best for: Multi-source US property data with high attribute count Coverage: United States Website: tovodata.com

TovoData's Property Spring API delivers up to 300 data points per property: ownership details, physical characteristics, mortgage info, valuations, and comparable sales. They pull from multiple data sources and merge everything into a single API response.

MLS data is available as an add-on or standalone product. The comparable properties (comps) endpoint is particularly useful — it identifies recently sold properties near a subject property, which is table stakes for any valuation or investment analysis tool. Pricing is custom, and their documentation is straightforward.

TovoData occupies a middle ground between ATTOM's massive dataset and smaller, more focused APIs. It's a solid option if you need broad property data with good attribute depth but don't want to negotiate an enterprise contract.

8. Realtyna

Best for: MLS integration and WordPress-based real estate sites Coverage: United States and Canada (200+ MLSs) Website: realtyna.com

Realtyna is an authorized vendor for over 200 MLSs, which makes it the go-to option if MLS data access is your primary need. Their product line includes the WPL API (a WordPress plugin with REST endpoints), the RealtyFeed API for fast listing delivery, and MLS On The Fly for low-latency MLS queries.

This is the right choice if you're building a brokerage website, especially on WordPress. Realtyna's plugin ecosystem handles IDX compliance, listing display, and lead capture out of the box. For custom applications, the RealtyFeed API provides the same data through standard REST endpoints.

Pricing is custom. The platform is heavily oriented toward agents and brokerages rather than general-purpose developers. If you're not in the MLS ecosystem, other options on this list will serve you better.

9. Mashvisor

Best for: Rental investment analysis with AI-driven pricing Coverage: United States Website: mashvisor.com

Mashvisor targets rental property investors. The API provides analytics for both short-term (Airbnb-style) and long-term rentals, including occupancy rates, projected revenue, cap rates, and dynamic pricing recommendations. The Market Finder endpoint lets you filter cities and neighborhoods by rental yield metrics.

The free tier gives you 30 API calls per month. The Basic API plan costs $299/month for 100 requests, and Professional is$ 599/month for 250 requests. That's expensive per-call, but the value is in the analytics — you're getting processed investment insights, not raw data.

Mashvisor is the right tool if your users are rental investors who need to evaluate deals quickly. It's not designed for building listing portals or general property search apps. The pricing model reflects its niche: high value per call, low volume expectations.

10. RealScout

Best for: Agent-client collaboration and listing alerts Coverage: United States Website: realscout.com

RealScout started as a client engagement platform for real estate agents and has expanded its API for third-party integrations. The standout features are natural language listing alerts (buyers describe what they want in plain English) and ML-powered property comparison that displays listings side-by-side, room-by-room.

The platform integrates with CRMs like Follow Up Boss and includes seller nurture tools with home value alerts. API access typically requires a higher-tier plan; the base platform starts at $99/month.

RealScout is less of a data API and more of a productivity tool with API hooks. Use it if you're building agent-facing software and need smart matching and engagement features. If you need raw property data or analytics, look at the other entries on this list.

How to Choose

Your decision comes down to market, use case, and budget:

Building in the US and need depth? Start with ATTOM. It has the most comprehensive US property dataset.
Focused on rentals? RentCast gives you rental-specific data with a low barrier to entry.
Need predictive analytics? HouseCanary has the strongest valuation and forecasting models.
Building in France or Europe? Stream.Estate is the only API with comprehensive French market coverage.
Building a brokerage site on WordPress? Realtyna handles MLS and IDX out of the box.
Investment analysis for rentals? Mashvisor delivers processed investment metrics.
Consumer-facing app that needs brand trust? Zillow gives you Zestimates and name recognition.

There's no single best API. Pick the one that matches your geographic market and the type of data your app actually needs.