Every comp cited in an appraisal is a comp that might need defending later, to a lender or compliance reviewer. Get property-level data sourced directly from property management systems, not scraped or surveyed, so the income approach number stands on its own.
Property-level granularity • Never scraped • Localized to your jurisdiction
The income approach lives or dies on the specificity of your comp. A county-wide blend invites pushback from any reviewer who asks why that number applies to this specific property, in this specific submarket.
Comps pulled from scraping listing sites bring duplication and legal exposure that can surface during a lender review. Survey-based comps are self-reported, collected infrequently, and often reported at a community-average level — neither holds up well under scrutiny.
Dwellsy IQ delivers property-level data sourced directly from property management systems, not scraped or surveyed, so the number in your income approach doesn’t need a qualifier when a lender or compliance reviewer asks where it came from.
The income approach lives or dies on the specificity of your comp. Dwellsy IQ’s unit-level data lets you cite the rent for a comparable property in the exact submarket you’re appraising — not a county-wide blend that a reviewer will push back on.
National scale doesn’t help you if it can’t drill into the one county or MSA you’re actually appraising in. Coverage can be scoped tightly — a single jurisdiction, a specific asset class, whether the assignment is SFR or multifamily — so you’re not paying for or wading through data outside your territory.
Retraining analysts and re-validating models is the real cost of switching a data source in a compliance-approved workflow. A defensible comp layer added to what you already run instead, manual or programmatic, no rip-and-replace required.
When a report needs to show how rents have moved over time — not just where they are today — Dwellsy IQ’s data reaches back to January 2020, giving you a defensible historical baseline instead of a single-point estimate.
Committing to a large data contract before you’ve proven the comps hold up against your own review standard is backwards. Get scoped, right-sized access so the first engagement is a real evaluation, not a leap of faith.
Comps sourced by scraping listing sites carry duplication and legal exposure that can surface during a lender review. Dwellsy IQ is sourced directly from property management systems — public, owner-disclosed data — built to withstand that scrutiny.
Appraisers cite the rent for a comparable property in the exact submarket they’re appraising, not a county-wide blend a reviewer will push back on.
Rent data for appraisal →Valuation teams scope coverage tightly to the one county or MSA they’re appraising in, for either SFR or multifamily assignments.
Firms add a defensible comp layer to an already compliance-approved workflow, manual or programmatic, without retraining analysts or re-validating models.
Appraisers show how rents have moved over time, not just where they are today, using historical depth back to January 2020.
Firms validate comps against their own review standard on scoped, right-sized access before committing to a larger contract.
Appraisers defend a comp under lender or compliance scrutiny using data sourced directly from property management systems, not scraped listings.
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.

Download our data dictionary and a sample dataset to see exactly what fields, coverage, and granularity you’d be working with.
Pull property-level rent data scoped to your jurisdiction and asset class, and see how it holds up against your current sourcing. No enterprise commitment required to start.
Dwellsy’s data is hyper-local. Every record is unit-level, with final asking rent, 50+ attributes and 250+ amenities tied to a specific rental unit. You’re not working from a county or ZIP-code blend.
Yes. Coverage can be scoped to a specific county, MSA, or asset class, which is how most appraisal engagements actually work — right-sized, not national.
Dwellsy IQ data is sourced directly from property management systems — public, owner-disclosed listing data, never scraped, never surveyed. That sourcing model is built to be defensible under exactly that kind of scrutiny.
No. Dwellsy IQ is designed to slot into your existing valuation process as an additional, defensible comp source — not to replace the models or workflows you already have approved.
Scraped data is pulled from listing sites, which introduces duplication, staleness, and legal exposure. Dwellsy IQ is sourced directly from property management systems through the Dwellsy marketplace — continuous, deduplicated, and legally compliant.
Survey data is self-reported, collected infrequently, and often reported at a community-average level. Dwellsy IQ captures final asking rents directly at the unit level, updated continuously.
January 2020 to present, which supports trend-line analysis for reports that need to show rent movement over time, not just a current snapshot.
Yes. API IQ delivers unit-level or aggregated data programmatically, filterable by geography, property type, or attribute.
Yes. Scoped, lower-commitment access is available so you can validate the comps against your existing review standard before expanding.
SFR (single-family rental) and multifamily — all within the same dataset and sourcing standard.
No. All data is public, owner-disclosed listing information at the unit level. No PII, no private data.
Yes. Municipal and government appraisal buyers have historically scoped engagements tightly to their jurisdiction and budget, rather than committing to broad enterprise coverage.