Best Real Estate Comps Software

Best Real Estate Comps Software

June 4, 2026

Produced by:
Richard Stevens

Richard Stevens is an active real estate investor with over 8 years of industry experience. He specializes in researching topics that appeal to real estate investors and building calculators that can help property investors understand the expected costs and returns when executing real estate deals.

Reviewed by:
Carmel Woodman

With over 8 years of expertise, Carmel brings a wealth of knowledge as the former Content Manager at a prominent online real estate platform. As a seasoned ghostwriter, she has crafted multiple in-depth Property Guides, exploring topics such as real estate acquisition and financing. Her portfolio boasts 200+ articles covering diverse real estate subjects, ranging from blockchain to market trends and investment strategies.

Knowing what a property is actually worth is the foundation of every good real estate deal. Professional appraisals take time and cost money, so most investors rely on comparable sales, comps, to get a fast, working estimate before deciding whether to move forward.

This guide covers the best free tools for pulling comps, how to find and evaluate them properly, and what separates a reliable comparable from a misleading one.

Best Software For Real Estate Comps In 2026

What are Real Estate Comps?

A comp, short for comparable sale, is a recently sold property that shares key characteristics with the one you’re analyzing. Location, size, condition, age, and features like bedroom count or lot size are the primary variables. By gathering a handful of similar sold properties and averaging their prices, adjusting for any differences, you can estimate what your target property is likely worth in today’s market.

This is different from an appraisal, which involves a licensed professional conducting a formal on-site inspection. It’s also different from automated estimates like Zillow’s Zestimate, which uses algorithmic modelling and can be off by 5% or more on off-market homes. Comps you pull yourself are based on actual closed transactions, what buyers actually paid, not what sellers hoped to get.

The general rule: three to five sold properties, closed within the past three to six months, located within half a mile of your subject property. In slower or rural markets, you may need to widen the net.

Who Uses Comps, And Why It Matters

Real estate comps are not just for investors. Here’s a quick breakdown of how different groups use them:

Investors use comps to estimate after-repair value (ARV) before purchasing a fix-and-flip, to underwrite a rental acquisition, or to evaluate DSCR loan feasibility. Our ARV calculator is built specifically for this purpose.

Home sellers use comps to set a listing price that is competitive without leaving money on the table.

Buyers use comps to verify that a listing is priced fairly and to build a negotiation strategy.

Appraisers are required to reference comps when determining a property’s fair market value for lender purposes.

Real estate agents pull comps constantly to build comparative market analyses (CMAs) and advise clients on pricing.

What Makes A Good Comp?

Not every recently sold property qualifies as a reliable comparable. Here’s what to look for:

Location: Same neighborhood is ideal. Within a quarter to half a mile for urban areas; up to one to two miles in suburbs or rural markets. A property on the other side of a highway or school district boundary may not be comparable even if it looks similar on paper.

Sale date: Stick to the last three to six months. In a fast-moving market, go tighter — last 60 days if you can. Markets shift, and a comp from 18 months ago may be misleading in either direction.

Size: Try to stay within 300 square feet of your target property’s square footage. Price per square foot is a useful secondary check.

Bedroom and bathroom count: A three-bedroom, two-bathroom home should be compared to other three-bed, two-bath homes. Even the same square footage doesn’t make a two-bed and a four-bed interchangeable in value.

Condition: A renovated home will fetch more than a comparable home in original condition. Look closely at listing photos. If a comp had a newly renovated kitchen and yours doesn’t, you’ll need to adjust down.

Property type: Match single-family homes to single-family homes, condos to condos. Mixing types introduces noise.

Sale type: Be cautious with distressed sales, foreclosures, estate sales, and family transfers. These often close below market value and can skew your analysis if not identified and excluded or flagged.

What makes a reliable real estate comp?
Six criteria every investor should check before using a comparable sale
Must match
Same property type
Single-family to single-family, condo to condo — don't mix types
Within half a mile
Expand to 1–2 miles in low-density or rural markets only
Sold in last 3–6 months
In fast markets, tighten to 60 days for the most accurate read
Watch closely
Similar size and layout
Stay within ~300 sq ft; match bed/bath count where possible
Condition at time of sale
A renovated comp and a fixer-upper are not interchangeable — adjust
No distressed sale flags
Foreclosures, estate sales, and family transfers often close below market
3–5
Comps recommended
3–6 mo
Max sale age
0.5 mi
Target radius

How To Find And Analyze Comps: A Step-By-Step Process

1. Start with your subject property. Note the address, square footage, lot size, bedroom and bathroom count, year built, and any recent renovations.

2. Search for recently sold properties in the same neighborhood using one of the tools below. Filter for closed sales only, active listings tell you what sellers want, not what buyers will pay.

3. Build a shortlist of three to five properties that match your criteria above.

4. Calculate price per square foot for each comp: divide the sale price by the square footage. This gives you a normalised metric for comparison.

5. Adjust for differences. If a comp has a pool and your property doesn’t, estimate the value difference and subtract it. If yours has a new roof and the comp doesn’t, add a small premium. This is where judgment and local market knowledge come in.

6. Average the adjusted values to reach your estimate. Cross-check it against at least one other source — a different tool, a local agent’s opinion, or your own ARV calculation.

One thing to watch for: outliers. One sale well above or below the rest usually has an explanation — a distressed seller, a family deal, or an unusual feature. Include it, note it, and decide whether it distorts your average.

The table below shows what a working comps report looks like in practice, using fictional data for a four-bed, two-bath property in Tampa.

Sample comps report — 4-bed / 2-bath SFR, Tampa FL (fictional data)
AddressSale priceSq ft$/sq ftBeds / bathsSale dateDistanceNotes
Subject property Estimating 1,820 TBD 4 / 2 Needs full kitchen renovation
2847 Oleander Dr $342,000 1,790$1914 / 2Mar 20260.2 mi Strong comp Updated kitchen
1103 Magnolia Cir $328,500 1,840$1794 / 2Feb 20260.3 mi Strong comp Original condition
509 Bayside Ave $361,000 1,950$1854 / 2Apr 20260.4 mi Adjust down 130 sq ft larger, pool
774 Cypress Run $298,000 1,760$1694 / 2Jan 20260.5 mi Flag Estate sale — below market
3312 Palermo St $335,000 1,800$1864 / 2Mar 20260.4 mi Strong comp Similar condition
Avg (excl. flagged) $336,625 1,845 $185 4 / 2 Estate sale at 774 Cypress Run excluded. Bayside Ave adjusted for size and pool. ARV estimate: ~$325,000–$335,000 after kitchen discount.
Subject property
Sq ft
1,820
Beds / baths
4 / 2
Notes
Needs full kitchen renovation
2847 Oleander Dr
Sale price
$342,000
Sq ft
1,790
$/sq ft
$191
Date / dist
Mar 2026 · 0.2 mi
Notes
Strong comp Updated kitchen
1103 Magnolia Cir
Sale price
$328,500
Sq ft
1,840
$/sq ft
$179
Date / dist
Feb 2026 · 0.3 mi
Notes
Strong comp Original condition
509 Bayside Ave
Sale price
$361,000
Sq ft
1,950
$/sq ft
$185
Date / dist
Apr 2026 · 0.4 mi
Notes
Adjust down 130 sq ft larger, pool
774 Cypress Run
Sale price
$298,000
Sq ft
1,760
$/sq ft
$169
Date / dist
Jan 2026 · 0.5 mi
Notes
Flag Estate sale — below market
3312 Palermo St
Sale price
$335,000
Sq ft
1,800
$/sq ft
$186
Date / dist
Mar 2026 · 0.4 mi
Notes
Strong comp Similar condition
Avg (excl. flagged)
Sale price
$336,625
$/sq ft
$185
ARV estimate
~$325,000–$335,000 after kitchen discount. Estate sale excluded. Bayside Ave adjusted.
All addresses and sale data are fictional and for illustration purposes only. Use New Silver's ARV calculator to run your own estimates.

How Often Should You Update Comps?

In an active market, every few weeks. Markets move fast, and a comp from four months ago in a rising market may undervalue your target; one from a peak in a declining market may overvalue it. Seasonality matters too, homes tend to sell for more in spring and early summer. If your comps are from a winter period and you’re analyzing a spring deal, factor that in.

Common Mistakes To Avoid

Using active listings
A listed price is an ask. A closed price is reality. Only use sold homes.

Ignoring condition
Two homes with the same square footage can sell $50,000 apart if one needs a full kitchen gut and the other was renovated last year.

Skipping the drive-by Street appeal, proximity to busy roads, lot shape, and exterior condition all affect value in ways that don’t show up in the listing data. Drive past if you can.

Over-relying on one tool
 Each platform pulls from slightly different data sources. Cross-referencing two or three gives you a better picture.

Applying suburban logic to rural markets
In low-transaction areas, you may need to widen your radius and go back further in time. Acknowledge that your estimate carries more uncertainty in thin markets.

Best Free Software For Real Estate Comps

1 Zillow Free
Zillow is probably the most widely used starting point. The "Recently Sold" filter lets you search by city, ZIP code, or address and view nearby closed sales with basic property data. Coverage is broad because Zillow draws from public records across most of the country.
The main limitation is data freshness. Public records can lag behind actual closing dates by weeks or months, so in a fast market Zillow comps may not reflect current conditions as accurately as MLS-connected tools. For a quick sanity check or first pass, though, it's hard to beat.
View recently sold homes on Zillow →
2 FlipScout by New Silver Free Investor tool
FlipScout is New Silver's free deal-finding tool built specifically for real estate investors. Beyond pulling sales data, it lets you estimate rehab costs and calculate potential returns — which makes it more useful than a raw comps tool when you're actually underwriting a flip or rental deal.
You can search by ZIP code, city, or address and filter by price range, home type, and sale type including foreclosures. Because it was built for investors rather than homebuyers, the metrics it surfaces are more relevant to deal analysis.
Find investment deals with FlipScout →
3 New Silver ARV Calculator Free Investor tool
For fix-and-flip investors, the ARV calculator is one of the simplest ways to pull comps and estimate after-repair value in one step. Enter the property address and it surfaces recent nearby sold prices you can use to anchor your ARV estimate. Pair it with FlipScout for a fuller picture before pursuing a deal.
Calculate ARV for your next deal →
4 Redfin Free
Redfin runs its own brokerage with licensed agents updating the sales data, so their comps tend to be more current than platforms relying purely on public records. The search interface is clean, filters are granular, and price-per-square-foot is built right into the listing view.
The "Recently Sold" map is particularly useful for visualizing comp clusters in a neighborhood. You can filter by sold status, timeframe, beds, baths, square footage, and lot size in a single view.
Search sold comps on Redfin →
5 Realtor.com Free
Realtor.com is backed by data from the National Association of Realtors and covers most of the country. It shows key metrics including estimated value versus average neighborhood sale price, which helps you spot whether a target property is running above or below local norms. You can also use it to connect with local agents who can pull full MLS comps if you need to go deeper.
Browse sold listings on Realtor.com →
6 Trulia Free
Trulia (owned by Zillow) offers a slightly different interface and a few features that are particularly useful for quick location analysis, including a crime map layered with data from local law enforcement. If you're evaluating a neighborhood as much as an individual property, Trulia's local data is a useful supplement to the sales figures.
Explore recently sold homes on Trulia →
7 Eppraisal Free
Eppraisal is a free valuation tool that goes a step beyond basic sales data, adding demographic information about the surrounding area (employment, income levels, education) that can help calibrate an estimate in markets where neighborhood quality plays a significant role in price. It also allows side-by-side comparisons with other listing sites.
Get a free property estimate on Eppraisal →
8 Property Shark Free / Paid
Property Shark is a data aggregator with a particularly useful feature for investors: the ability to look up contact details for current property owners. The free version gives you limited access, and a paid subscription unlocks the full dataset. For investors doing targeted outreach alongside research, the paid tier can be worth the monthly cost.
Search comps on Property Shark →

Other Ways To Find Comps Without An Agent

Public property records: County assessor websites let you look up closed sale prices for specific addresses. Coverage and format vary by county, some offer clean online search tools, others require a visit to the courthouse. One limitation: public records don’t show seller concessions, so the price you see may reflect a credit for repairs rather than a true arm’s-length value.

Your local MLS (via an agent): Only licensed real estate professionals can pull MLS comps directly. If you work with an investor-friendly agent, a CMA from the MLS is usually the most accurate source available. Many agents will pull one as part of building a relationship, even without a live deal on the table.

Foreclosure and auction data: Sites like HUD’s home store and county foreclosure listings can surface additional pricing data, especially in markets where distressed sales are common. Use these carefully, auction prices often reflect distress, not true market value. They’re more useful as a floor reference than a direct comparable.

ListHub: A syndication service that aggregates MLS data across regions. Worth looking into if you need coverage across multiple markets.

Limitations Of Automated Comps Tools

Software can do a lot, but it has real blind spots. It can’t see that a comp has a renovated kitchen, that the property sits on a corner lot with a busy road on two sides, or that the sellers were motivated by a job transfer. In diverse neighborhoods with a wide mix of home styles, automated averages can be genuinely misleading.

In areas where recent sales are sparse, algorithms also struggle. Thin data means wider margins of error. A tool that returns a tidy number with two decimal places is not necessarily accurate, the precision is cosmetic.

The best approach is to use software to get your initial shortlist, then apply judgment: look at the photos, read the descriptions, drive by if the deal is worth pursuing, and verify against a second source.

Using Comps In Your Investment Strategy

For investors specifically, comps feed into a few calculations worth understanding:

ARV (After-Repair Value): The projected value of a property after renovations are complete. You calculate ARV by finding comps that reflect the finished condition you’re targeting — updated kitchens, new flooring, modern bathrooms — not the current state of the property. New Silver’s ARV calculator walks through this step by step.

Fix-and-flip underwriting: Your ARV drives your maximum offer price. The standard formula is: Maximum Purchase Price = (ARV x 70%) minus estimated repair costs. Comps are what makes or breaks that ARV figure. 

DSCR rental underwriting: For buy-and-hold investors using DSCR loans, comps help establish the property’s value, which affects loan-to-value ratios and how much you can borrow. A clean set of comps that supports a strong valuation gives your lender confidence and can mean better terms.

Hard money loans: Lenders like New Silver base loan amounts partly on the property’s current or post-rehab value. Comps are the evidence that value is real. See how hard money loans work for more context.

FAQ

It depends heavily on the market. In neighbourhoods with lots of similar homes and active transaction volume, automated tools tend to be fairly reliable. In areas with diverse housing stock, few recent sales, or lots of distressed activity, they can be well off. A 5–10% error may be acceptable for a rough estimate; it could cost you a deal if your margins are tight. Use software for orientation, not as a final answer.

Interior condition is the big one, software sees exterior data and sale prices, not whether the kitchen was gut-renovated last year. Street-level factors matter too: a property on a cul-de-sac versus a busy road can differ meaningfully in value even if everything else matches. Unique features, functional obsolescence (odd floor plans, outdated layouts), and the reason for the sale are also things software typically cannot account for.

Historical listing data including photos and descriptions from prior listings, expired listing access, automated valuation models, customizable reporting, and strong neighborhood-level demographic data. For investors specifically, rehab cost estimation and ROI modelling, as offered by FlipScout, add practical value beyond raw comps.

No. Active listings reflect what sellers hope to achieve. Sold homes reflect what buyers actually paid. That’s the only number that tells you what the market will bear.

Three is the minimum for a usable estimate. Five gives you enough to spot and account for outliers. More than eight and you start diluting relevance, you’re likely including sales that are too old, too far, or too different to be genuinely comparable.

Final thoughts

Pulling comps well is a learnable skill and it gets faster with practice. The tools above give you the raw material; the judgment comes from understanding what makes one property a fair comparison to another and what disqualifies it. For investors, that judgment is the difference between a well-priced offer and one that leaves money on the table.

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