RealEstateAPI (REAPI)

RealEstateAPI (REAPI)

Developer-facing property data API covering nationwide US real estate records — ownership, valuations, comps, boundaries and skip tracing — for building proptech and fintech products.

🔗 Visit RealEstateAPI (REAPI)
📁 Data & Analytics🗣️ English

Description

Building an app that needs real estate data — say, estimating a home's value, finding comparable sales, or looking up who owns a property — normally means negotiating with big, slow, expensive data vendors built for banks, not for a startup with an API key and a credit card. RealEstateAPI targets exactly that gap: it's a straightforward developer API for US property data, priced and packaged the way a developer expects a modern API to be, rather than an enterprise sales process. RealEstateAPI covers property search with investor-specific filters, real-time and historical MLS listings, ownership history and tax records, skip tracing (finding contact info tied to a property), parcel boundaries in GeoJSON format, a lender-grade automated valuation model (AVM), comparable-sales analysis, zoning/flood-zone data, and an address autocomplete/geocoding API. It also offers "PropGPT," a natural-language query layer built on GPT-4/GPT-3.5/Claude models, letting a developer ask for property data in plain English instead of constructing structured API queries by hand.

💬 Our review

The short version: RealEstateAPI packages the kind of nationwide property data that used to require an enterprise contract with a legacy data vendor into a developer-friendly API — useful for any proptech or fintech startup that needs real estate data without a six-figure data license.

The practical value is breadth in one API rather than stitching together several specialized providers — property records, valuations, comps, boundaries and skip tracing together cover most of what a proptech MVP actually needs, and PropGPT's natural-language query layer is a genuinely convenient shortcut for a small team that doesn't want to hand-build complex filter logic for every use case. The honest caveat: the company keeps its actual pricing off its public site (marketing copy claims being "half the price" of big providers, with third-party sources citing a roughly $599/month starting point that RealEstateAPI itself doesn't confirm), so budget for a sales conversation to get real numbers rather than assuming a self-serve price point. Against larger players like ATTOM Data or Cherre, which are built for institutional/enterprise integration at a higher price and complexity, RealEstateAPI's positioning is specifically toward smaller proptech and fintech teams that want developer-friendly onboarding — worth confirming your actual data-coverage and pricing needs directly with them before committing, since so much of the comparison data online is third-party estimate rather than vendor-published fact.

💰 Pricing

PaidCustom pricing, contact required; third-party estimates suggest a few hundred dollars/month starting point, unconfirmed
Custom

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model💳 Paid· No public pricing on the official site; marketing claims being 'half the price' of large providers, third-party estimates cite ~$599/month starting point (unconfirmed by vendor). Contact required for a quote.
👥 Target audiencePropTech developers | Fintech startups | Real estate investors and agents building tools
🗣️ Languagesen
🌍 Target countriesUnited States
👍

Pros

Covers property search, comps, valuations, boundaries and skip tracing in one API

PropGPT natural-language query layer over the structured data

Positioned for developer/proptech-friendly onboarding, not enterprise-only sales

Nationwide US coverage across property, MLS and tax records

👎

Cons

No public pricing — real cost only available via a sales conversation

Widely cited coverage/pricing figures are third-party estimates, not vendor-confirmed

US-only coverage

❓ Frequently asked questions

What kind of real estate data can I get from this API?
Property search and ownership records, MLS listings, tax records, comparable sales, an automated valuation model, parcel boundaries, zoning/flood data, and skip tracing (contact lookups tied to a property).
What is PropGPT?
A natural-language query layer, built on GPT-4/GPT-3.5/Claude models, that lets a developer ask for property data in plain English rather than constructing structured API filter queries by hand.
How much does it cost?
Not published — RealEstateAPI requires contacting sales for a quote. Third-party sources cite a starting point around $599/month, but this isn't confirmed on the official site, so treat it as a rough estimate to validate.
Is it worth the money compared to alternatives?
For a proptech or fintech startup, likely yes versus negotiating with an enterprise-focused legacy provider like ATTOM or Cherre — but get an actual quote first, since neither RealEstateAPI's real pricing nor its precise coverage numbers are independently confirmed publicly.
Which tool should you pick for your case?
Startup/proptech team wanting developer-friendly onboarding: RealEstateAPI. Institutional/enterprise-scale integration needs: ATTOM Data or Cherre. Commercial real estate specifically: Reonomy. Residential valuation as the core need: HouseCanary.