Can you filter Zillow or Realtor.com by cap rate?

No. Both are built for owner-occupiers and filter on price, bedrooms, bathrooms, square footage, and property type. Neither publishes a rent estimate and an expense model for every listing, which is what a cap rate filter would need. Investor-facing tools add that layer on top of listing data rather than inside the portal.

Why is searching by cap rate harder than searching by price?

Price is published on the listing; a cap rate has to be computed from a rent estimate and an expense model, per home. Ranking a whole market on it therefore costs something for every candidate, whether or not you ever open that candidate. That is why portals don't offer the filter, and why the tools that do usually meter it.

What is the difference between a marketplace's cap rate and one you filter on?

A marketplace publishes a return figure for the inventory it has chosen to carry, so the filter runs over that curated set. Open-market screening applies your own thresholds to what is currently listed in a market generally. Both are legitimate; they answer different questions. Ask which inventory the number is being computed across before comparing two tools' results.

Is a filtered cap rate accurate enough to make an offer on?

Treat it as triage, not underwriting. A screening cap rate rests on an estimated market rent and a modelled expense load, and both carry real error, particularly in areas with thin rental listings. Use it to decide which homes deserve a full analysis with actual tax bills, a real insurance quote, and your own rent comps, then underwrite those properly before pricing an offer.

Does searching by cap rate work for flips?

The equivalent filter is an ARV ratio rather than a cap rate — the 70% rule, expressed as a maximum share of after-repair value you are willing to pay. It has the same requirement: an ARV estimate for every candidate rather than just the one in front of you, which is why flip screening across a whole market is subject to the same cost constraint as rental screening.

Best tools to search listings by cap rate (2026)

Why listing portals can’t do this

Search a listing portal and you get price, bedrooms, bathrooms, square footage, and a map. Those are the fields an owner-occupier shops on, and the portals are built for owner-occupiers. An investor’s actual criterion is a return: a minimum cap rate, a rent-to-price ratio, a maximum share of after-repair value.

The reason is cost. Price is published on every listing. A cap rate has to be computed, and computing it for a whole market means producing a market-rent estimate and an operating-expense model for every home in that market rather than for the one you clicked. That is a per-property valuation for each candidate, and the bill scales with the size of the market instead of with how many homes you open. It’s why the filter is uncommon, and why the tools that do offer it tend to meter it in some form.

So the question to ask of any tool here is which inventory the filter runs over, because that bounds what it can possibly surface. A cap rate box on the front end says nothing about it.

(CapScout, in the fourth group below, is the tool we make. The others are independent products.)

Approach	What the filter runs over	Examples
Calculator plus a spreadsheet	One property, the one you already found	DealCheck
Property and owner data	A records database, filtered on attributes	PropStream, DealWorthIt
Market discovery	Areas and homes ranked on projected return	Mashvisor, AirDNA
Open-market threshold screening	A market’s active listings, against your own thresholds	CapScout

Calculator plus a spreadsheet

This is the baseline the others improve on, and it holds up well. DealCheck returns cap rate, cash flow, ROI, and a clean report from your own assumptions, across rentals, BRRRR, flips, and multifamily. There is no market search: you bring the address. Pricing: free Starter up to 15 properties; Plus $10/month; Pro $20/month.

This is the right tool when the deals already come to you and the analysis is the only bottleneck. It stops being the right tool when you are the one who has to find the deal, because the shortlist you run it against was built on price and bedrooms, the exact anchor the analysis exists to test.

Property and owner data

PropStream filters 160M+ property records on ownership, equity, distress signals, and MLS-blended comps, with skip tracing and marketing on top, plus a recently added AI research assistant. The filters describe the property and its owner, not the return, which suits off-market sourcing far better than it suits ranking on-market inventory by yield. Pricing: from $99/month, 7-day trial.

DealWorthIt pairs a database of on- and off-market records with automated underwriting that returns cash flow, ROI, and an offer price, and adds syndication structuring for teams. Pricing: Silver $59/month, Gold $99/month, Diamond $299/month.

Choose this lane when the constraint is finding sellers, not returns.

Market discovery

Mashvisor scores markets and properties with machine learning, covering both long-term and short-term rentals, with an Airbnb dynamic-pricing engine and short-term-rental regulation tracking for hundreds of cities. Pricing: investment-analysis plans from $49.99/month billed annually.

AirDNA is the short-term-rental specialist: its Rentalizer estimates a property’s Airbnb revenue, ADR, and occupancy from comparable listings, and MarketMinder analyzes whole short-term-rental markets. Pricing: free market explorer; paid plans from roughly $20/month.

Both start from the market instead of the address. The lens is projected performance, which for short-term rentals is the strongest one available.

Open-market threshold screening

CapScout is our product, so hold it to the same standard as the rest of this page. It applies the thresholds you actually underwrite against — a minimum cap rate, a rent-to-price ratio, an ARV ratio for the 70% rule — to a market’s active listings, alongside an ordinary buy box (beds, baths, square footage, year built, lot size, time on market, relisted-lower, or a focus on particular ZIP codes), and reports how many homes sit in that box.

It reads a market’s newest inventory deliberately instead of taking whatever page the listing feed returns first, which is the usual reason a search fills up with homes that have been sitting for a year. And it is precise about what the count means: the number it reports is the homes in your buy box, not the homes that clear your return threshold, because clearing a threshold requires a valuation for each home and no inventory count can contain one.

What survives arrives banded strong, fair, or weak; a full underwrite runs on demand and returns a deal narrative, risks scored by severity and likelihood, a negotiation target, an exit-strategy comparison, and a recommendation, for long-term rentals and flips, with thin comp sets and diverging valuations flagged instead of smoothed over. Firms can send that analysis to a client under their own brand, through a persistent client portal, with per-section control over what the client sees.

This lane suits you when you don’t yet know which homes deserve the two to four hours. It doesn’t model short-term rentals, and it works from on-market listings, so off-market pipelines are not its lane. Pricing: free tier, then usage-based; Team from $129/month.

What to check before you trust a filtered list

A return filter is only as good as the two estimates underneath it, so four questions are worth asking of any tool on this page:

What inventory did the filter run over? A curated marketplace, a records database, and a market’s live listings produce different answers to the same query, and none of them is wrong. But a result set means nothing until you know which one you are looking at.
Where did the rent estimate come from, and how confident is it? A cap rate is mostly a rent estimate wearing a division sign. Areas with few rental listings produce rent medians drawn from a handful of asking prices, which is one landlord’s opinion, not a market. A tool that widens its confidence there is telling you something true.
Does the count mean what it appears to mean? “N properties match” usually counts homes matching the attribute filters, not the return threshold, because the threshold needs a valuation per home. That is honest reporting, and it is easy to misread as a count of homes that clear your threshold.
Can you replace the assumptions with yours? Your bound insurance quote and the actual tax bill will move a cap rate more than any model default. If the screen can’t take your numbers, treat its output strictly as a shortlist.

Screening is not underwriting, and no tool here changes that. What it changes is which twenty homes out of a thousand are worth the two to four hours a real analysis takes.

Best tools to search listings by cap rate and cash flow (2026)