Platform · Zillow

Zillow Data Scraping

What appears on Zillow, and under whose name, changed twice in a year. The record has to keep up.

Zillow data scraping collects public listing pages from the largest US property portal: asking prices, status, attributes and the listing brokerage attribution shown. The Zestimate is recorded as Zillow's estimate, which Zillow says is not an appraisal. Zillow changed its listing access standards in March 2026, and its access to some MLS feeds is contested, so which listings appear is itself a dated fact, recorded per market. Only publicly accessible listing pages are read: no MLS system, agent portal, listing feed or login, and asking prices are never presented as sale prices.

A missing listing on Zillow may be a policy or feed dispute, not a withdrawn home. Absence is not inferred.

Get a free sample See sample data

Free pilot on your own Zillow list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

zillow_sample.jsonl LIVE FEED

{"listing_type":"sale","asking_price":489000,"zip":"98103","listing_brokerage":"as displayed"} {"zestimate":472300,"estimate_source":"zillow","is_valuation":false} {"coverage_event":"feed access changed","market":"as reported","event_date":"2026-09-16"}

illustrative sample rows · UScoverage that moves · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Zillow or its owners. Zillow and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Zillow at a glance

How we handle Zillow specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Portal: Zillow — Zillow Group
Sister sites: Trulia, StreetEasy, HotPads
Zestimate: Zillow's estimate, not an appraisal
Listing standards: Changed 17 Mar 2026; MLS listing now optional
Feed disputes: Recorded as dated events per market
Attribution: Listing brokerage kept as shown
Asking price: Not a sale price
Refresh: Daily

Platform specifics

Coverage that moves

These are the reasons a Zillow dataset needs its own handling rather than a shared retail schema.

Estimates and coverage

Zillow publishes median error figures for the Zestimate, with on-market homes far more accurate than off-market ones. The estimate is useful context and is always labelled as Zillow's.

zestimate with estimate_source: zillow; never used as a valuation of ours.
listing_type as shown — for sale, pre-market preview, rental, sold — per record.
coverage_event — standards change, feed restored, feed cut — dated per market.
listing_brokerage as displayed; individual agents' details are not collected.

Rentals, rules and what we do not do

Rentals

Zillow's rentals also appear on Redfin under a syndication deal the FTC settled in August 2026; shared rentals are counted once. See our Redfin page.

MLS

MLS systems are credentialed, licensed environments and are never accessed, as the real estate hub sets out.

What we do not do

Present Zestimates as values, infer sales from removals, collect agent or owner personal data, republish listing photos or descriptions, or use logins.

Scope

What we collect on Zillow, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Public listing pages only
Asking price, status and attributes
Listing brokerage as displayed
Zestimate as Zillow's estimate
Listing type per record
Coverage events dated per market
Rentals deduplicated with Redfin
Price and status history as shown
Daily refresh

❌ What we do not, and why

MLS systems, IDX feeds or logins
Zestimates presented as valuations
Removals inferred as sales
Agent or owner personal data
Listing photos or descriptions republished

Core Zillow fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
listing_id / url	As published
listing_type	sale, preview, rental, sold
asking_price / currency	USD
status / status_date	As shown
beds / baths / sqft / lot	As published
zip / city / state	As published
listing_brokerage	As displayed
zestimate / estimate_source	Zillow
coverage_event / event_date	Per market
dedupe_key	Across Zillow Group and Redfin
observed_at	Timestamp

Use cases

What teams do with Zillow data

Market inventory tracking

Active listings and status by ZIP.

Asking price trends

Labelled as asking prices.

Estimate comparison

Portal estimates beside asking prices, attributed.

Coverage monitoring

Which listings appear where, dated.

The 24-hour sample — run on your sources, not ours

Send us a Zillow item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

REST endpoints on the same pipeline, with sandbox keys for testing.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A fixed-scope extraction for a single project or research question.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Pricing is quoted individually, based on category scope, number of markets, cadence and ongoing identity maintenance. After a scoping call and free pilot, we quote a fixed monthly figure, with no per-request metering.

Book a 20-min scoping call Request a quote Talk to an engineer

Zillow is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Zillow data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what real estate data covers, and a Zillow-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Zillow data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

No. Zillow calls it an estimate and not an appraisal. We record it as Zillow's.

Never. Only public listing pages.

Because Zillow's listing standards and feed access changed in 2026, so what appears can change without homes selling.

Only the listing brokerage as displayed. Not individuals.

No.

It depends on markets and refresh.

Talk to us.

See real Zillow data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner