Zillow Data Scraper — US Homes for Sale, Rent & Sold

Zillow Data Scraper – US Homes for Sale, Rent & Sold

Scrape Zillow property listings without an API key. Extract US homes for sale, for rent, and recently sold — by city, ZIP, or Zillow URL — into flat JSON with price, Zestimate, beds/baths, sqft, agent/broker, photos, and coordinates.

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What does Zillow Data Scraper do?

Zillow Data Scraper extracts live US property listings — for sale, for rent, and recently sold — directly from Zillow, with no official API key required. Give it a city, ZIP code, or a Zillow search/detail URL, and it returns a flat record per property: list price, Zestimate, beds, baths, square footage, lot size, home type, address, coordinates, listing agent/broker, and photos. It's built for anyone who has searched "how to scrape Zillow" and wants working structured data today, not a months-long integration project.

Who is Zillow Data Scraper for?

• Real estate investors & analysts pulling comps, Zestimates, and inventory across multiple markets
• PropTech teams feeding listing data into dashboards, valuation tools, or search products
• Market researchers tracking price trends, days-on-market, and inventory mix by city or ZIP
• Developers & data teams who need structured Zillow data without maintaining a scraper themselves

Why use Zillow Data Scraper?

• No Zillow login or official API key to manage
• Flat output schema — no nested response objects to unpack before you can use the data
• Includes Zestimate and rent Zestimate fields where Zillow exposes them — useful for valuation workflows most listing scrapers skip
• Filter by price, beds, baths, home type, sort order, and listing recency in a single request

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What data can you extract?

Category	Fields
Listing	status, listing type, ZPID, listing ID, marketing status, days on Zillow
Pricing	list price, Zestimate, rent Zestimate, tax-assessed value
Property	beds, baths, sqft, lot size, home type, year built
Location	formatted address, street, city, state, ZIP, latitude, longitude
Agent & broker	broker name, agent name, agent phone (where Zillow exposes it on the listing)
Listing flags	for-sale-by-agent/owner, new construction, coming soon, auction, foreclosure, showcase listing
Media	photo count, thumbnail, full photo URL list
Metadata	source, country, location query, scrapedAt timestamp

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How much does it cost?

Pricing for this Actor is set on its Pricing tab according to the plan tier — starts from $1.75 per 1000 results

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Key Features

Feature	Detail
Location search	City, ZIP, or neighborhood
Bulk Zillow URLs	Mix search pages and homedetails URLs in one run
Listing types	for_sale, for_rent, sold
Deep filters	Price, beds, baths, home type, days on Zillow
Sort control	Relevance, price, newest, beds, baths, sqft, lot size
Zestimate included	Zestimate and rent Zestimate returned where available
Per-location limits	maxItems applies per location/URL; 0 fetches up to Zillow's own page cap
No Zillow API key needed	Nothing to authenticate on your end

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Input Parameters

Provide at least one of locations or startUrls.

Parameter	Type	Required	Default	Description
locations	string[]	No*	—	City, ZIP, or neighborhood (e.g. Austin, TX, 90210, Brooklyn, NY)
startUrls	string[]	No*	—	Zillow search or homedetails URLs; search URLs should include filters when possible
listingType	string	No	for_sale	for_sale | for_rent | sold
maxItems	integer	No	200	Max listings per location or search URL; 0 = unlimited, up to Zillow's own page cap (~800 per search)
sortBy	string	No	newest	relevance | price_asc | price_desc | newest | beds | baths | sqft | lot
priceMin / priceMax	integer	No	—	Minimum / maximum list, rent, or sold price in USD
bedsMin	integer	No	—	Minimum bedrooms
bathsMin	number	No	—	Minimum bathrooms
homeTypes	string[]	No	—	house, condo, townhome, multi_family, lot, manufactured, apartment; empty = all types
daysOnZillow	string	No	"" (any time)	Restrict to listings posted within a window: 1, 7, 14, 30, 90 days, or 6m–36m

*One of locations or startUrls is required.

Example input:

{
  "locations": ["Austin, TX"],
  "startUrls": ["https://www.zillow.com/austin-tx/"],
  "listingType": "for_sale",
  "maxItems": 200,
  "sortBy": "newest",
  "priceMin": 300000,
  "priceMax": 900000,
  "bedsMin": 3,
  "homeTypes": ["house", "condo"],
  "daysOnZillow": "30"
}

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Output Examples

Each output item is one flat property record — no nested objects to unpack.

{
  "country": "US",
  "source": "zillow",
  "locationQuery": "New York, NY",
  "listingType": "for_sale",
  "zpid": "32347603",
  "propertyUrl": "https://www.zillow.com/homedetails/108-Ramblewood-Ave-Staten-Island-NY-10308/32347603_zpid/",
  "status": "FOR_SALE",
  "statusText": "House for sale",
  "listPrice": 899999,
  "priceDisplay": "$899,999",
  "zestimate": 886600,
  "rentZestimate": 3393,
  "taxAssessedValue": 634000,
  "beds": 4,
  "baths": 2,
  "sqft": 1716,
  "lotSqft": 3800,
  "homeType": "SINGLE_FAMILY",
  "daysOnZillow": 11,
  "formattedAddress": "108 Ramblewood Ave, Staten Island, NY 10308",
  "city": "Staten Island",
  "state": "NY",
  "zipCode": "10308",
  "latitude": 40.544956,
  "longitude": -74.15479,
  "brokerName": "Ashford Homes LLC",
  "isFsba": true,
  "isShowcaseListing": true,
  "has3DModel": true,
  "photoCount": 25,
  "thumbnail": "https://photos.zillowstatic.com/fp/86087c4049ebfcb2e4639abaaf136fab-p_e.jpg",
  "photos": [
    "https://photos.zillowstatic.com/fp/86087c4049ebfcb2e4639abaaf136fab-p_e.jpg",
    "https://photos.zillowstatic.com/fp/8af9f97b2bb0144f9bb8522add145576-p_e.jpg"
  ],
  "scrapedAt": "2026-09-22T07:55:08.497902+00:00"
}

Note: zestimate, rentZestimate, agentName, and agentPhone are only populated when Zillow exposes them on that specific listing — some listings (e.g. new "Coming Soon" postings, or agent-withheld contact info) legitimately return null or an empty string for these fields rather than an error.

Export as JSON, CSV, Excel, or XML from the Apify dataset UI or API.

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Tips for Best Results

• Filter before you fetch. priceMin/priceMax, bedsMin, and homeTypes cut out noise and reduce billed results — broad, unfiltered city searches return the most data but also the most irrelevant rows.
• Know Zillow's own page cap. Setting maxItems: 0 returns as many results as Zillow's search itself exposes per query — typically up to roughly 800 listings per location/URL, not unlimited. For very large or dense metros, narrow with priceMin/priceMax or daysOnZillow and run multiple sub-searches instead of one broad one.
• Use daysOnZillow for monitoring. Set it to 1 or 7 for a daily/weekly "what's new" run instead of re-scraping the same inventory repeatedly.
• Mix startUrls and locations when you need both a broad area sweep and a specific set of known listings in the same run.
• Zestimate availability varies by listing — don't assume every row will have one; check for null before using it in downstream valuation logic.

Supported Locations

This Actor covers the United States only, via Zillow. It accepts city, ZIP/postal code, and neighborhood-level searches, plus any Zillow search or homedetails URL for markets Zillow itself covers.

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How to Scrape Zillow Listings

1. Configure input — add cities, ZIPs, or Zillow URLs to locations / startUrls, then set listing type and filters.
2. Run the Actor — click "Start" in the Apify Console, or trigger it via the Apify API, Python, or JavaScript SDK.
3. Preview results — listings stream into the dataset in real time as they're scraped.
4. Export or automate — download as JSON, CSV, or Excel, or pipe results into your CRM or database via Zapier, Make, n8n, or webhooks.

Integrations

Results export natively to JSON, CSV, Excel, and XML, and connect directly to no-code tools like n8n, Zapier, and Make. Push scraped listings into HubSpot, Salesforce, Google Sheets, or a data warehouse (Postgres, BigQuery, Airtable) via the Apify API, SDKs, or scheduled webhook triggers.

Use Zillow Data Scraper with MCP and AI Agents

This Actor can be called by AI agents through the Apify MCP Server, letting an MCP-compatible assistant run it and reason over live Zillow data as part of a larger workflow — for example, an agent comparing Zestimate vs. list price across a market to flag potentially underpriced listings.

Using the Apify API

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('devil_port369-owner/zillow-scraper').call({
  locations: ['Austin, TX'],
  listingType: 'for_sale',
  maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("devil_port369-owner/zillow-scraper").call(run_input={
    "locations": ["Austin, TX"],
    "listingType": "for_sale",
    "maxItems": 100,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL

curl "https://api.apify.com/v2/acts/devil_port369-owner~zillow-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"locations": ["Austin, TX"], "listingType": "for_sale", "maxItems": 100}'

Replace devil_port369-owner/zillow-scraper above with this Actor's actual published slug if it differs once live.

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Use This Data in AI-Agent and LLM Workflows

• Valuation sanity-checks — feed a batch of listings into an LLM prompt to flag properties where listPrice diverges significantly from zestimate, as a first-pass screen before deeper analysis.
• Market summarization — generate a plain-English market summary (price range, typical sqft, inventory mix, days-on-market trend) for a given city from a run's dataset.
• Natural-language querying — pass a run's export as context so an LLM can answer questions like "which of these are new construction under $600k?" without custom filtering code.
• Cross-source enrichment — combine this Actor's output with a Realtor.com-sourced dataset (e.g. this developer's own USA Real Estate Scraper) and have an LLM reconcile listings that appear on both platforms.

Build a Production Real Estate Data Workflow

1. Schedule recurring runs per target market using Apify's Scheduler rather than triggering manually.
2. Dedupe on zpid — scheduled runs will re-encounter previously seen listings; use zpid as the stable key when merging into your own store.
3. Combine multi-source coverage — pair this Actor with a Realtor.com-sourced feed to catch listings that appear on one platform but not the other, and reconcile on address or coordinates.
4. Push to storage via webhook — configure an Apify webhook on run completion to send new dataset items to your own ingestion endpoint or directly into Postgres/BigQuery/Airtable.
5. Monitor for silent failures — set up a run-failure notification (Slack, email, or webhook) so a blocked run surfaces immediately.
6. Version your input configs — keep one input JSON per market/segment so scheduled runs stay reproducible and auditable.

Is It Legal to Scrape Zillow?

This Actor only collects data Zillow already displays publicly on pages anyone can view without logging in. In the US, courts have generally held that scraping publicly accessible web data does not, by itself, violate the Computer Fraud and Abuse Act (see hiQ Labs v. LinkedIn). That said, Zillow's own Terms of Use place restrictions on automated data collection and reuse of its data (including Zestimate values, which Zillow treats as proprietary), and Zillow has pursued legal action over data-usage disputes in the past. Compliance also depends on how you use the data afterward — internal market research and bulk redistribution carry very different risk profiles.

This isn't legal advice. Review Zillow's current Terms of Use and consult a lawyer familiar with data-scraping and IP law for your specific use case, especially if you plan to redistribute or resell Zestimate data commercially.

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Frequently Asked Questions (FAQ)

How do I scrape Zillow?

Enter a location (city, ZIP, or neighborhood) or a Zillow URL into the Actor's input, choose a listing type, and run it. No coding, proxies, or Zillow login is required.

Does this include Zestimate data?

Yes, where Zillow exposes it on the listing — zestimate and rentZestimate fields are included. Some listings (particularly new or off-market-adjacent ones) may return null for these.

Can I scrape sold or rental listings, not just for-sale?

Yes — set listingType to sold or for_rent. All three market segments use the same input shape.

Why does maxItems: 0 not return every listing in a city?

Zillow itself caps how many results a single search exposes (roughly 800 per search), independent of this Actor. For dense metros, narrow your search with price or date filters and run multiple sub-searches instead.

How is this different from a Realtor.com scraper?

Zillow and Realtor.com list overlapping but not identical inventory, and each source has fields the other doesn't — Zillow uniquely offers Zestimate valuations, for instance. Using both sources together (see the production-workflow section above) typically gives broader market coverage than either alone.

Can I integrate this with my CRM or spreadsheet tools?

Yes — use the Apify API, webhooks, or Python/JS SDKs to push listings into HubSpot, Salesforce, Google Sheets, or your own data warehouse.

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