Zillow Listing Data: What You Can Collect and How (2026 Guide)

Introduction

Zillow listing data is the public information shown on Zillow.com for homes for sale, homes for rent and recently sold homes. It typically includes list price, price history and price cuts, Zestimate and Rent Zestimate values as displayed, beds, baths, square footage, lot size, year built, days on Zillow, HOA fees, status, property type and location.

Investors use it to screen deals, proptech teams use it to power rental comps, and analysts use it to build market dashboards. The reach is large: Zillow reported 239 million average monthly unique users and 2.5 billion visits in Q2 2026, and describes itself in that release as the most visited real estate app and website in the United States.

This guide explains which fields matter, how Zillow compares with Realtor.com, Redfin and Apartments.com, how to collect and clean the data, and where the legal lines are. It focuses on public listing data only – never owner or agent personal data.

Why does Zillow listing data matter in 2026?

Zillow listing data matters because it is one of the widest public views of US housing supply, pricing and rental demand in one place. For anyone tracking local markets, it shows both what sellers ask and how those asks change over time.

The market backdrop makes this useful. NAR reported that months' supply of existing-home inventory reached 4.9 months in August 2026, its highest level in over a decade. When inventory builds, price cuts and longer days on market become key signals – and both are visible on listing pages.

Rental data is just as important. Zillow said its rentals revenue grew 31% year over year in Q2 2026, which shows how central the rental side of the platform has become.

Who typically uses it:

• Real estate investors and funds – screening for-sale listings against rent estimates and price trends.
• Proptech platforms – building rental search, comps and valuation features.
• Market analysts and lenders – tracking inventory, price cuts and time on market by ZIP code.
• Property managers – benchmarking asking rents against nearby units.

What data fields can you get from a Zillow listing?

Zillow listing data follows a consistent set of public fields that can be structured into one row per listing. The most useful ones fall into price, property, status and location groups.

• Listing type and status – for sale, for rent, pending, or recently sold, plus the status date where shown.
• List price or monthly rent – the current asking figure and currency.
• Price history and price cuts – the dated events shown on the listing, such as listed, price change, pending or sold.
• Zestimate and Rent Zestimate (as displayed) – Zillow's own estimates. Zillow states the Zestimate is its estimate of market value and is not an appraisal, so store it as an estimate with its source.
• Beds, baths and living area – the core size fields used in almost every comp model.
• Lot size and year built – important for single-family screening and age-based filters.
• Days on Zillow – a simple freshness and demand signal.
• HOA fee – essential for true cost-of-ownership comparisons.
• Property type – single-family, condo, townhouse, multi-family, manufactured or land.
• Location – street address of the listed property, city, state, ZIP and latitude/longitude.

The table below shows a sample Zillow listing data schema you can adapt.

Fields we deliberately leave out: owner names, agent or broker phone numbers and emails, and any other personal data. Listing photos and descriptions are also usually excluded or kept for internal analysis only, because they carry copyright.

How does Zillow compare with Realtor.com, Redfin and Apartments.com?

Each US portal shows overlapping inventory but with different strengths, so most serious projects combine Zillow listing data with at least one other portal. Zillow is strongest for breadth and its own estimates; the others add different views of the same market.

Coverage and field labels differ by portal and change over time. Zillow, for example, updated its Listing Access Standards on 17 March 2026, which affects which listings appear and when. That is a good reason to log a capture date on every record and compare portals instead of trusting one source. For a Redfin-specific view, see our Redfin data scraping service.

How do you collect, clean and de-duplicate Zillow listing data?

The reliable way to gather Zillow listing data is a scheduled collection of public listing pages, followed by normalisation, de-duplication and change tracking. Getting the cleaning right matters more than raw volume.

Step 1: Define the scope

Decide on geography (states, metros or ZIP codes), listing types (for sale, rentals, sold) and how often you need updates. A rental comps tool may need daily snapshots, while a quarterly market report can work from weekly data.

Step 2: Collect public listing pages responsibly

Collect only what a logged-out visitor can see. Use polite request rates, avoid login-only areas, and review the site's terms first. Many teams choose a managed provider for this step instead of maintaining their own crawlers.

Step 3: Normalise the fields

Convert prices to numbers, lot sizes to one unit, and half-baths to a standard format. Map property types to your own categories, and parse price-history events into a separate dated table.

Step 4: De-duplicate and match

The same home can appear as several records – relisted, moved from sale to rent, or shown on several portals. Use the Zillow property ID as the first key, then match on normalised address plus ZIP, and fall back to latitude/longitude within a small radius. Keep one master record and link every listing event to it.

Step 5: Track changes and validate

Compare each capture with the previous one to flag new listings, price cuts, status changes and removals. Run checks for missing prices, impossible values (for example, zero square feet) and outliers before data reaches a dashboard.

What are the main use cases for Zillow listing data?

The most common uses are rental comps, investment screening and market dashboards. In our recent inquiries, the strongest demand has come from teams building rental listing features and from investors comparing asking prices with estimates.

• Rental comps – pull rentals within a radius, filter by beds, baths and sqft, and compare asking rents with Rent Zestimate values to price a unit.
• Investment screening – rank for-sale homes by list price versus Rent Zestimate, HOA burden and days on Zillow to shortlist buy-and-hold candidates.
• Price-cut monitoring – track which ZIP codes see the most price reductions each week as an early sign of softening demand.
• Market dashboards – combine inventory, median list price, new listings and days on market by metro. Our real estate dashboard shows how this can look.
• Valuation benchmarking – compare your own model's values with Zestimates and other portal estimates to spot gaps.
• Proptech product data – feed listing search, alerts and neighbourhood pages with structured public data.

An anonymised example from our recent inquiries: a rental platform asked for public rental listing data to populate and benchmark its own listings. Requests like this centre on beds, baths, rent, property type and location, with no landlord or agent contact fields.

Is it legal to collect Zillow listing data?

Collecting public Zillow listing data for analysis can be lawful, but it depends on how you collect it, what you collect and how you use it. Always get legal review before starting.

Key points to follow:

• Public data only. Collect what any logged-out visitor sees. Never bypass logins, paywalls or technical blocks.
• No personal data. Do not collect owner names, agent or broker phone numbers or emails, or tenant details. Many US states have privacy laws that apply to personal data.
• Respect site terms. Zillow's Terms of Use restrict automated access and reuse of its content. Review them before any project.
• Treat estimates as estimates. Zestimates are Zillow's own models, so label and attribute them, and do not present them as appraisals.
• Respect copyright. Listing photos and remarks usually belong to the listing agent or MLS, so avoid republishing them.
• Consider official channels. Zillow Group offers official data access in some cases. Its Bridge Interactive unit, for example, received RESO Web API certification in 2017 for MLS data access. If you are an MLS partner or broker, check whether an API route fits your needs.

This is general information, not legal advice.

Build vs buy: should you collect Zillow listing data yourself?

Build in-house if you need a small, one-time sample and have engineering time to spare. Buy from a managed provider if you need ongoing, multi-metro data with cleaning and de-duplication done for you.

When comparing providers, ask for a sample file, the exact field list, refresh frequency, how duplicates are handled and what data is excluded. Our Zillow data scraping service and Zillow real estate dataset cover both custom and ready-made options.

Frequently Asked Questions

What is included in Zillow listing data?

Public listing fields such as list price or rent, price history and price cuts, Zestimate and Rent Zestimate as displayed, beds, baths, square footage, lot size, year built, days on Zillow, HOA fee, status, property type and location.

Can I get Zestimate history from Zillow listings?

You can record the Zestimate shown on a listing each time you capture it, which builds your own dated history. Always label it as Zillow's estimate, not an appraisal.

Does Zillow have an official API?

Zillow Group has offered official data access through channels such as Bridge Interactive for MLS and partner use. Availability and terms change, so check Zillow Group's current developer options before choosing a method.

Can you collect agent or owner contact details from Zillow?

We do not collect owner personal data or agent and broker contact details. Our Zillow work covers public property and listing facts only.

How often should Zillow listing data be refreshed?

It depends on the use case. Rental comps and price-cut alerts often need daily updates, while market reports can use weekly or monthly snapshots.

You can also reach us for all your mobile app scraping, data collection, web scraping, and instant data scraper service requirements!