Unit-level rent data sits at the core of many proptech products, from rent estimation tools to underwriting platforms and tenant-facing search apps. Unlike property-level or ZIP-level averages, unit-level data captures the rent for a specific floor plan, unit type, or individual listing, which allows for far more precise modeling. For founders and data teams, choosing the right source shapes accuracy, coverage, and how much cleaning your pipeline requires.
This list walks through seven data sources that product teams commonly evaluate when they need rent information at the unit or listing level. We focus primarily on how teams can connect to and use the data within their own products, rather than on standalone platform features or platform pricing. We cover what each source is, why it matters for a proptech product, and how teams typically put it to work. The goal is to help you match a source to your use case rather than rank one above the rest.
Quick Overview List
- Dwellsy IQ — First-party, unit-level rent data sourced directly from property management systems through the Dwellsy marketplace, with self-serve REST API (API IQ) plus bulk S3 and MCP delivery, sourced directly from property management systems.
- RentCast — Property and rental data API covering roughly 140M+ U.S. properties, including rent estimates and comps, with self-serve REST API with published per-tier request pricing, separate from its consumer dashboard subscription.
- ATTOM Data Solutions — Enterprise-grade property data API covering 150M+ properties, including a rental AVM, with enterprise-licensed REST API with quote-based pricing, plus a usage-based tier available through RapidAPI.
- Rentometer — Rent comparison reports for single-family and small multifamily properties, with a self-serve API, with credit-based API bundled into a Pro subscription; each address pulled consumes a metered credit.
- RentRange — Rent estimate and AVM technology with property reports and market benchmarks, now part of Cotality. RentRange has two-tier access: pay-per-report self-serve reports, or a separate quote-based enterprise API/bulk license.
- HelloData — Multifamily-focused rental analytics with daily updates across millions of apartment units, with self-serve API priced per record pulled, with an unlimited fixed-cost tier for higher volume.
- Cotality (formerly CoreLogic) — Enterprise property, mortgage, and risk datasets, including MLS infrastructure via Matrix and Trestle. Enterprise OData WebAPI and Trestle API, both quote-based with no published self-serve rate.
The Best Rental Data Sources for Proptech Teams
1. Dwellsy IQ
Dwellsy IQ delivers unit-level rental data sourced directly from property management systems through the Dwellsy marketplace, the largest rental listing platform in the U.S. Rents are captured where they are set and updated, rather than scraped from listing pages or collected through periodic surveys. Coverage spans SFR and multifamily units, with historical depth back to January 2020.
Key Features
- 17M+ listings sourced directly from property management systems, covering over 75% of professionally managed U.S. rental housing
- Unit-level records include final asking rents plus around 50 additional attributes and 250 amenities per listing
- API IQ: a structured REST API for unit-level or aggregated queries, filterable by geography, property type, or attribute
- Bulk delivery via AWS S3 for teams running their own pipelines or warehouses, no API call or long-term contract required
- MCP Server for agent/LLM workflows that need rental data as a callable tool rather than a static feed
Best For
Proptech product teams that need best-in-class, unit-level rental data updated in real time and don’t require ownership records or broader property intelligence.
Pricing
Direct enterprise licensing is quote-based and tiered by data package and call volume, with per-unit costs decreasing as usage increases.
2. RentCast
RentCast is a property and rental data API covering roughly 140 million U.S. properties. It offers endpoints for property details, owner information, AVM and rent estimates, comps, active listings, and local market statistics, positioning it as a broader all-in-one data source rather than a rent-only feed.
Key Features
- Endpoints for both summary-level analysis and detailed rent reports
- Combines property records, ownership data, and rent/valuation estimates in one API
- Broad nationwide coverage across property types
- Self-serve REST API, no long-term contract required
Best For
Proptech teams where rent serves as an estimated supporting input alongside broader property and ownership data.
Pricing
API access is billed separately from the RentCast platform subscription: Developer tier is free with 50 requests/month; Foundation is $74/month for 1,000 requests; Growth is $199/month for 5,000 requests; Scale is $449/month for 25,000 requests. Each tier carries a per-request overage fee once the monthly quota is exceeded.
3. ATTOM Data Solutions
ATTOM Data Solutions offers one of the more comprehensive property data APIs in the industry, covering more than 150 million U.S. properties with nationwide consistency. Its rental AVM sits inside a broader suite that spans residential and commercial property data.
Key Features
- ATTOM Rental AVM for unit-level rent estimates alongside property records
- Nationwide, normalized, multi-sourced property intelligence
- Available via RapidAPI with flexible, usage-based pricing
- REST API organized around named endpoints (property snapshot, sale snapshot, AVM, Rental AVM, and more) rather than a single lookup call
Best For
Proptech platforms that need broad property intelligence at scale, with rent data serving as an estimated input rather than a primary data point.
Pricing
Direct enterprise licensing is quote-based and tiered by data package and call volume, with no published self-serve rate.
4. Rentometer
Rentometer provides quick rent comparisons and more detailed rent analysis reports, aimed primarily at single-family and small multifamily properties. It offers a free trial alongside paid plans, plus an API with endpoints for summary and detailed rent reports.
Key Features
- Fast rent comparison reports based on nearby comparable units
- REST endpoints for QuickView (summary rent estimate), Pro Report (full PDF rent report), and Nearby Comp (detailed rent comps)
- Accounts are licensed per-seat for interactive use; script/bulk usage runs through the API credit pool instead
- Priced for individual landlords and small operators rather than enterprise buyers
Best For
Landlords and small operators who need fast, low-cost rent comparisons without an enterprise data contract.
Pricing
API access is bundled into the Pro plan, priced at $29/month (50 Rent Reports with Comps per month) or $199/year (500 Rent Reports with Comps per year). Additional QuickView, Pro Report, and Premium credits can be purchased on top of the plan allotment; higher-volume needs are handled through Enterprise sales.
5. RentRange
RentRange provides rent estimates and market metrics through AVM technology, offering property reports and benchmarks at the local, regional, and national level. It draws on data from large property management companies, which it positions as actual rent information rather than listing prices. RentRange now operates as part of Cotality (formerly CoreLogic).
Key Features
- AVM-based rent estimates and institutional-grade rent analysis
- API access and bulk data licensing for embedding rent data directly into underwriting, origination, or portfolio monitoring workflows
- Data is sourced from a network of rental data aggregators, property managers, and MLSs, refreshed monthly at the market-metric level
Best For
Proptech teams that need rent estimates, with options ranging from occasional property reports to enterprise data feeds.
Pricing
Self-serve reports are pay-per-report with volume discounts inside a 30-day window. The enterprise API and bulk licensing path is quote-based, with pricing set by data scope and integration depth.
6. HelloData
HelloData is a multifamily-focused analytics platform built around daily updates across millions of U.S. apartment units. It emphasizes unit-level comp identification, using property, unit, and market data alongside AI photo analysis to build comparable sets.
Key Features
- Rent comp identification using similarity scoring across property type, vintage, unit mix, amenities, and location
- Historical rent and concession analysis to track market trends and competitor pricing strategies
- Operating expense comp data drawn from tens of thousands of comparable properties nationwide
Best For
Proptech teams that need daily-refreshed unit and comp-level data at predictable, consumption-based cost.
Pricing
Pricing runs on a pay-per-use model at roughly $0.50 per record, with an unlimited fixed-cost tier available for teams that would rather not track per-record spend.
7. Cotality
Cotality, the company formerly known as CoreLogic, is one of the largest property data and analytics providers globally, rebranded in March 2025. It offers enterprise-grade APIs spanning property, mortgage, and risk datasets, and operates MLS infrastructure through its Matrix and Trestle products.
Key Features
- An OData-compliant WebAPI supporting nested filtering, with CLIP and Universal Parcel Identifier (UPI) keys for matching records across datasets over time
- Enterprise property, mortgage, and risk data covering the large majority of the U.S. market
- Trestle API for MLS-licensed listing data, currently migrating to a new host (api.cotality.com), which itself requires a separate account and data license fees from the relevant MLS
- No public self-serve signup for either API; access requires a sales conversation and signed data agreement
Best For
Proptech teams that need enterprise-scale property and risk data and are comfortable using modeled rent estimates as a supporting data point rather than relying on live or observed rental data.
Pricing
Not publicly listed. Pricing is custom-quoted based on data needs and usage volume, with “Premium Quotas” available for accounts that need a permanent increase in call volume.
FAQ
What makes a rent data source “unit-level” rather than property-level?
Unit-level data ties a rent figure to a specific unit, floor plan, or listing rather than to a whole building or area average. This granularity lets a proptech product compare like-for-like units and model rent by bedroom count, size, and amenities. Property-level or ZIP-level averages hide that variation and reduce accuracy for individual units.
Should a proptech product rely on a single unit-level rent data provider?
Most teams blend several sources rather than depend on one. First-party PMS-sourced data, modeled AVM estimates, and public-record context each have different strengths and gaps, so combining them improves coverage and accuracy. A layered approach also lets you cross-check values and fill in markets where one source is thin.
Which providers work best for single-family versus multifamily units?
Dwellsy IQ is the strongest fit for single-family rentals, which are at the core of its dataset, while also covering multifamily and supporting direct product integrations. HelloData is more specialized in multifamily, Rentometer works well for rental estimates and comps, and ATTOM is better suited to teams that want rent data alongside broader property intelligence.
How often should unit-level rent data be refreshed in a product?
The right cadence depends on how time-sensitive your use case is, since asking rents can shift quickly in active markets. Live search and pricing tools generally need frequent updates, while historical benchmarking can tolerate slower refreshes. Confirming each provider’s update frequency helps you set expectations for freshness.
