First-party rent data for products that can’t afford bad inputs
If your product runs on rent data, that data is now part of your product’s risk surface. Most rental data in the market is scraped from listing sites or collected through infrequent surveys, which means the teams building on it inherit legal exposure and stale inputs before they ship a single feature.
Never scraped • Direct-to-PMS sourcing • Built for engineering teams
Trusted by Leading Brands
Your engineering team can’t debug a bad source the same way they debug bad code
Your data layer is part of your risk surface
Teams building pricing engines, valuation models, and AI training pipelines are working with data that touches a market worth close to $1 trillion a year, and most rental data in the market is scraped from listing sites or collected through infrequent surveys. Both come with the same hidden costs: legal exposure most vendors don’t disclose, duplicated units that corrupt comps, and staleness that only shows up once a crawl goes quiet.
The demo doesn’t catch it, but the production does
The demo goes well, because nothing forces the cracks in data to show themselves yet. Then a benchmark request exposes a coverage gap nobody caught early, and it becomes the reason a customer, an investor, or a deal walks away.
Reliable before, during, and after the benchmark
Dwellsy IQ is first-party data captured directly from the property management systems landlords and property managers use to list, price, and manage rental units — sourced through the largest free rental marketplace in the U.S. No scraping means no legal exposure, no survey lag means no staleness, and no duplicated units means the numbers hold up whether you’re running a first-pass benchmark or running the pipeline in production a year later.
Rent data you can actually trust
Compliant by design
Every listing comes in with consent, so there’s no compliance risk baked into your data layer from day one.
Built to scale with you
The same dataset that powers a five-person startup’s MVP scales to an enterprise-grade pipeline without switching sources.
Never goes stale
Data flows in as rents are set and updated, not collected once a year or scraped whenever a crawler happens to run.
Built for continuous delivery
Dwellsy IQ delivers on a recurring basis, so the feed powering your pricing engine, model, or platform today is still accurate a year from now, without renegotiating a new pull each time.
A moat you can’t scrape your way into
Every listing traces back to a direct relationship with the property management system that set it, the kind of sourcing an internal team can’t stand up in a sprint, and a scraper can’t fake.
Built to plug into what you’re already building
Dwellsy IQ reaches your product through API IQ for structured, on-demand access, or MCP for AI-native workflows — both drawing from the same unit-level, first-party dataset.
How tech platforms use Dwellsy IQ’s rent data
Pricing engines
Revenue management and pricing tools need rent inputs that reflect what’s actually happening in the market, right here and right now. Unit-level data gives pricing algorithms a live, credible baseline.
GIS and mapping tools
Mapping platforms need rental data that rolls up cleanly from unit to ZIP to MSA without introducing sampling error at each layer.
AI training data
Models trained on rental data are only as good as what they’re fed. SFR and multifamily coverage back to January 2020 gives training pipelines the range they need to generalize.
Investment platforms
Platforms helping investors evaluate rental properties need numbers that hold up when a user checks them against the market.
Data resale
Building on first-party, owner-disclosed rents means the compliance story holds at every layer of resale.
We've worked with a lot of data vendors. Dwellsy's data quality is genuinely best in class. Source-verified, unit-level, and consistent across more than 17 million listings. It shows up in our product and our users notice.
See the data before you talk to anyone
Download our data dictionary and a sample dataset to see exactly what fields, coverage, and granularity you’d be working with.
Test it against what you’re using now
The fastest way to evaluate a data source is to run it against the one you already have. Bring a sample of Dwellsy IQ data into your existing pipeline, benchmark it against your current provider, and let your engineers judge the output on their own terms.
FAQ
Is scraped rental data reliable enough to build a product on?
No. Scraped data is pulled periodically from listing sites, which means it’s duplicated, stale between crawls, and carries real compliance risk. Plus, not all of them are time accurate or even legit. Dwellsy IQ is sourced directly from property management systems, so there’s no scraping involved at any point in the pipeline.
What asset classes and geographies does Dwellsy IQ cover?
Coverage spans SFR and multifamily across 800+ MSAs and 16,000+ ZIP codes, with historical depth back to January 2020.
Can we test sample data before committing to anything?
Yes. The typical starting point is a sample dataset your engineering team can run against your current source or model requirements before any commercial discussion.
How does the evaluation process actually work?
Most technical buyers request a sample, benchmark it against their existing provider or an internal accuracy threshold, and make the call based on that comparison.
Do you work with early-stage or venture-backed startups?
Yes, though budget certainty matters for any recurring data relationship. We work with teams at a range of funding stages and scope the engagement to match.
Is this a one-time dataset or an ongoing feed?
Dwellsy IQ is built for continuous, recurring delivery — data flows in as rents are set and updated across 30+ PMS integrations, not as a single snapshot. That matters for any product that depends on rent data staying current rather than going stale the month after purchase. A one-time historical pull is available for a specific evaluation or backtest, but the standard relationship is an ongoing feed.
Do you offer a dashboard, or is this API-only?
Most tech platforms use API IQ or MCP for a queryable data feed, but we also build custom dashboards and reports on request, and Comp IQ and Operator IQ offer dedicated lookup tools for comps and property manager scorecards if you don’t need a full integration.
Is any of Dwellsy’s data scraped, surveyed, or built from PII?
No. Every listing is first-party, owner-disclosed data sourced directly from property management systems.
Equal Housing Opportunity