12 tools compared · 2026
Best CRE Data & Property Intelligence APIs
This category covers raw and semi-processed property data delivered via API or bulk feed — ownership records, tax assessments, comps, building characteristics, and increasingly AI-derived insights layered on top of public and proprietary records. Buyers are two distinct groups: technical teams building products that need property data as an input (proptech startups, lenders' underwriting systems, insurance risk models) and analysts who consume the same data through a vendor's own front-end dashboard rather than raw API calls.
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The category is dominated by a handful of long-established aggregators (ATTOM, CoreLogic, First American) with deep historical records and litigation-tested data licensing, alongside newer entrants (HelloData.ai, Estated) competing on API developer experience and narrower, cleaner datasets rather than breadth. Selection criteria: data freshness and update cadence (assessor records lag reality by months in many counties — know the lag for your target markets), coverage completeness by geography since national coverage claims often hide thin data in secondary and tertiary markets, and licensing terms — many of these datasets restrict redistribution or downstream commercial use in ways that matter if you're building a product on top rather than consuming data internally. Pricing is almost entirely usage-based (per-call, per-record, or tiered API volume) and opaque until you're in a sales conversation; budget for a real negotiation, not a rate card. AI is changing this category by making it economical to layer inference (estimated value, risk scoring) on top of raw records — evaluate those derived fields skeptically since accuracy varies enormously by data provider and market.
Top picks in CRE Data & Property Intelligence APIs
Built for proptech companies, lenders, and data-hungry underwriting teams that need bulk API access to property, ownership, sales, and hazard data across the full 160M+ US property universe — this is infrastructure, not an end-user tool. Strong coverage breadth is the draw. It's enterprise-priced and requires engineering resources to integrate meaningfully, so a small brokerage or single-fund acquisitions team looking for a point-and-click comp tool should look elsewhere; ATTOM is for teams building on top of the data, not browsing it.
ATTOM alternatives →Built for lenders, insurers, and underwriting teams that need property, valuation, and hazard-risk data via API at scale — CoreLogic's Spatial Web Services is genuinely deep, particularly for flood/wildfire/climate risk layered onto property records. This is enterprise data infrastructure requiring integration work, not a browsable tool, so a small acquisitions team wanting quick one-off property lookups will find it disproportionate; that use case is better served by a lighter, self-serve data API.
CoreLogic alternatives →Fits proptech developers and data teams needing programmatic access to property, parcel, and sales-history data across 140M+ US properties, spanning residential and commercial — usage-based pricing makes it more accessible for smaller-scale API consumption than flat enterprise contracts from CoreLogic or ATTOM. It's raw data infrastructure requiring engineering integration, not a browsable research tool, so non-technical acquisition teams looking for a UI-driven comps tool should look elsewhere.
Estated alternatives →Built for lenders, title companies, and data-driven acquisition teams needing parcel, ownership, HOA, lien, and foreclosure data via API or bulk license — DataTree's specific strength is in title-adjacent and distressed-property data that generalist property-data APIs cover less deeply. Enterprise pricing and a data-infrastructure delivery model (not a browsable app) mean this is for teams with engineering resources to integrate it, not for a small acquisitions team wanting quick lookups.
First American Data & Analytics (DataTree) alternatives →Aimed at multifamily investors, lenders, and analysts wanting AI-powered comps and market analytics without the enterprise overhead of legacy data providers — a newer entrant competing on speed and accessibility versus incumbents like CoStar or Yardi Matrix. Without published pricing, expect a sales conversation, and given it's a newer AI-native product, validate comp accuracy against a known market before trusting it for a live underwriting decision; it's multifamily-only, so no relevance for other asset classes.
HelloData.ai alternatives →All 12 CRE Data & Property Intelligence APIs tools
12 tools
| What it is | Status | ||
|---|---|---|---|
| ATTOM | Nationwide property data API — 160M+ US properties, ownership, sales, valuation, hazard data | Enterprise / quote-based | Established |
| CoreLogic | Property data and analytics (Spatial Web Services API) for underwriting, valuation, and hazard risk | Enterprise / quote-based | Established |
| Estated | Property data API covering 140M+ US properties, structure and parcel detail, sales history, assessments | Usage-based | Established |
| First American Data & Analytics (DataTree) | Parcel, ownership, HOA, lien, and mortgage/foreclosure data via DataTree, delivered by API and bulk licensing | Enterprise / quote-based | Established |
| HelloData.ai | AI-powered multifamily comps, rent data, and market analytics platform | Not published | Established |
| LightBox | CRE data platform unifying parcel, tax, zoning, environmental (EDR), and listings data behind a persistent property ID and developer API | Enterprise / quote-based | Established |
| Regrid | 100% US (plus Canada) parcel boundary data enriched with ownership, zoning, land use, building footprints | Subscription | Established |
| CREXi Intelligence | Commercial listings marketplace's data-subscription arm with mapping/analytics tools | Subscription | |
| RealEstateAPI (REAPI) | Developer-friendly property data API — search, detail, comps, parcel boundaries, skip tracing | Usage-based | |
| RentCast | Property and rent data API, address- and criteria-based search across residential and commercial parcels | Free tier available | |
| Smarty (US Property Data) | 350+ property data attributes for investment assessment, commercial and residential | Usage-based | |
| SmartZip | Aggregated real estate data platform (1B+ data points) blending residential and commercial sources | Not published |
Frequently asked questions
- How current is property data from these APIs — is it real-time?
- No property data API is truly real-time; most reflect county assessor and recorder updates that lag actual transactions by weeks to several months depending on jurisdiction. For time-sensitive underwriting, treat API data as a strong starting point that needs verification against a live title search or local record for anything material.
- Can we redistribute or resell data pulled from these APIs?
- Almost never without an explicit redistribution license — most providers' standard terms restrict you to internal use or embedding derived (not raw) data into your own product. Read the licensing terms carefully before building a product that exposes underlying records to customers.
- How is CRE property data API pricing structured?
- Usually tiered by call volume or record count, with published 'starting at' prices that rarely reflect what you'll actually pay at production scale. Expect a sales-negotiated contract for any meaningful volume — treat published pricing as a floor, not a quote.
Evaluating tools mid-deal?
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