The only accurate rent data to set the right price
Underpricing and overpricing carry the same cost, and the same cause: comp data that can’t be trusted. Direct-from-source signal: unit-level rent comps sourced from property management systems through the largest free rental listing platform in the US.
Never scraped • auditable • Built for revenue management
Trusted by Leading Brands
Guessing on price means guessing on revenue
Not all comps can survive a renewal negotiation
Scraped and market-average rent data is often duplicated, stale, and impossible to defend — it can’t justify a rent increase, hold up against a resident’s pushback, or explain to a portfolio owner why a unit sat vacant.
One bad comp, one expensive mistake
A pricing analyst can build a model on “good enough” data and still get the number wrong — the cost of one mispriced renewal or one avoidable vacancy outweighs the cost of comp data that’s actually accurate.
Priced with evidence, not a guess
Dwellsy IQ is sourced directly from property management systems — unit-level, continuous, and auditable — giving pricing analysts the evidence to defend a rent bump internally, without second-guessing the number.
Built for pricing and revenue teams
Yield, not just data
The point of a comp isn’t the comp — it’s the rent increase you can justify or the vacancy you avoid. Dwellsy IQ data is built to feed directly into a revenue management model, giving pricing analysts the evidence to defend a rent bump internally without second-guessing the number.
Slots into your existing stack
A new vendor shouldn’t trigger a new IT project. Designed to feed into revenue management systems and pricing engines with minimal integration lift, so the workflow stays the same and only the data source changes.
Permissioned, not scraped
Some operators try to scrape listing sites for “good enough” comps. That data is duplicated, stale, and carries legal exposure. Dwellsy IQ offers direct-sourced comps instead: no duplication, no staleness, no legal exposure riding on the number behind a renewal.
Today’s number, and how it got there
Daily pricing decisions need daily data, not a survey from months ago. Current market movement, plus historical depth back to January 2020, giving pricing analysts the trend behind today’s number, not just the snapshot.
Flexible delivery for any team size
Whether your team runs a full API integration, pulls data into spreadsheets (CSV, JSON, TSV or Parquet) for analysts, or needs a bulk drop into your own cloud environment, delivery is built to match your infrastructure — not force you into a single format.
Every unit tracked consistently
A Unique Rental Unit Identifier (URU) on every unit that never changes, so re-listed or renewed units don’t inflate a comp set or distort a pricing model with phantom inventory.
How owners and operators use Dwellsy IQ rent data
Renewal Pricing & Yield Optimization
Pricing analysts feed comps directly into a revenue management model, giving them evidence to defend a rent bump internally without second-guessing the number.
Rent data for pricing & revenue management →Portfolio Benchmarking Over Time
Portfolio and asset managers track pricing for the same units across renewals and re-listings, using a URU that stays fixed so benchmarking doesn’t require manual reconciliation.
Rent data for portfolio benchmarking →Revenue Management System Integration
Teams running an existing RMS like LRO or YieldStar layer comps in via API, CSV, JSON, TSV or Parquet, or bulk delivery, adding a data source without replacing the workflow.
Self-Service Comps for Smaller Portfolios
Smaller operators without a data team pull comparable property reports on a self-service, pay-per-lookup basis, no infrastructure or technical integration required.
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.
Your next rent bump, backed by real comps
Start with scoped access to your portfolio footprint — no commitment required to see the difference.
FAQ
How is Dwellsy IQ different from scraping a site ourselves?
Scraped data is duplicated, often stale, and carries legal risk. Dwellsy IQ is sourced directly from property management systems through the Dwellsy marketplace — permissioned, continuous, and legally compliant. The cost of one mispriced renewal from bad scraped data typically exceeds the cost of a real data subscription.
Will integrating Dwellsy IQ require a major IT lift?
No. Data is designed to plug into existing revenue management systems and pricing engines via API IQ, with delivery options (API, CSV, JSON, TSV or Parquet, AWS S3) chosen to match your team’s existing infrastructure rather than forcing a rebuild.
We run a legacy revenue management system like LRO or YieldStar — does that make integration harder?
No. Dwellsy IQ data is delivered as a clean feed — via API, CSV, JSON, TSV or Parquet, or bulk delivery — that layers into your existing revenue management system rather than replacing it. You don’t need to rip out LRO or YieldStar to get better comp data into your pricing model; the data slots in as an additional input your team is already set up to use.
What asset classes does Dwellsy IQ cover?
SFR (single-family rental) and multifamily.
How current is the rent data?
Data is sourced continuously and updated in real time from property management systems.
Can we track pricing for the same units over time, across multiple listings?
Yes. Every unit carries a URU — a permanent, unit-level identifier that stays fixed across time and re-listings — supporting portfolio-level benchmarking and renewal pricing analysis without manual reconciliation.
How far back does historical data go?
January 2020 to present, giving pricing teams both a current snapshot and multi-year trend context for the same markets.
Do we need a data science team to use this, or can a pricing analyst work with it directly?
Delivery methods range from a full REST API for engineering-heavy teams to spreadsheet delivery (CSV, JSON, TSV or Parquet) for analysts who don’t have a data infrastructure team. Comp IQ also offers a self-service, pay-per-lookup option for smaller portfolios.
Is this data self-reported by property managers on a survey?
No. Dwellsy IQ captures final asking rents directly from property management systems at the point they’re set and updated — not self-reported, not survey-based.
What geographic coverage does Dwellsy IQ have?
800+ MSAs and 16,000+ ZIP codes, covering roughly 75% of professionally managed U.S. rental housing.
Does the data include any private or personally identifiable information?
No. All data is public, owner-disclosed listing information at the unit level. No PII, no private data.
We’re a smaller operator without an engineering team — is there an option for us?
Yes. One of our products, Comp IQ, is a self-service, pay-per-lookup tool that generates comparable property reports without requiring data infrastructure or a technical integration.
Can we test the data on a limited scope before a larger contract?
Yes. Scoped access is available so your team can validate accuracy and fit against your current portfolio before expanding to a broader agreement.
Equal Housing Opportunity