Zillow Scraper
Pricing
from $0.60 / 1,000 results
Zillow Scraper
Scrape Zillow listings by city, ZIP, or neighborhood. Pull homes for sale, for rent, and recently sold with prices, beds, baths, photos, and Zestimates, plus full detail: price and tax history, schools, lot facts, and agent contacts. No 1,000-result cap. Export to CSV, JSON, or Excel for comps.
Pricing
from $0.60 / 1,000 results
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SilentFlow
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8
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12 days ago
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From SilentFlow. Creators of Pinterest Scraper and Leboncoin Scraper, with 420,000+ combined lifetime runs.
Turn any U.S. city, ZIP, or neighborhood into a clean feed of Zillow listings. For sale, for rent, or recently sold, with prices, beds, baths, photos, valuations, and full property detail in one structured record per home.
Type a location. Get back every listing that matches, with the fields you actually use for comps, lead lists, and market analysis. No copy-pasting from Zillow tabs, no building search URLs by hand, no hitting the 1,000-result wall.
How it works

- You enter a location. A city like
Austin, TX, a ZIP like90210, a neighborhood, county, or state. Add price, bed, bath, or home-type filters if you want. Already have the search open on Zillow? Paste its link instead. - The scraper pulls every matching listing. Buy, rent, or sold, across the whole area, not just the first page Zillow shows you.
- You get one structured record per home, ready to export to CSV or Excel, drop into a sheet, or feed into a model or dashboard.
Turn on Fetch Details and each home is enriched with its full property profile: price history, tax history, assigned schools, lot and construction facts, HOA, agent name and phone, and more.
✨ Why teams choose this over other Zillow scrapers
Building search URLs by hand just to scrape a city? Hitting the 1,000-result cap on a big metro? Stuck with raw listing dumps that are missing the fields you actually need?
- 🏙️ Just type a location. A city, ZIP, neighborhood, or address. No building a Zillow URL, no copying map coordinates, no learning a query format. Most scrapers make you do that work yourself.
- ♾️ No 1,000-result limit. Pull every for-sale, rental, or sold home in an entire metro, not the capped page Zillow shows in the browser. Big markets come back complete.
- 🏠 Buy, rent, and sold in one place. One Actor handles all three. Switch with a single setting instead of wiring up three different tools.
- 📜 The full property story, not just the card. Turn on detail enrichment and get price history, tax history, assigned schools, lot and construction facts, HOA, and Zestimate. The data behind the listing, not just the headline.
- 📇 Agent contact details. Pull the listing agent's name, phone, and brokerage for outreach and lead lists, captured straight from the listing.
- 📸 Whole photo galleries, ready to use. Full-resolution image URLs for every photo, not a single thumbnail and not raw keys you have to assemble.
- 📉 Spot price drops and deals. Every listing carries its price change and the date it changed, so you can surface reductions the moment they happen.
- 💰 Pay per result, not per minute. Proxies included, no compute fees. You pay for homes delivered, and nothing else.
- 🧹 One clean record per home. Normalized JSON with a flat, predictable shape. It drops straight into a spreadsheet, a CRM, or an AI workflow.
🎯 What you can do with Zillow data
| Team | What they build |
|---|---|
| Real estate investors | Pull every sold home in a ZIP with price and tax history to run comps and spot undervalued deals |
| Agents and brokerages | Build for-sale and for-rent lead lists by city with the listing agent's name and phone attached |
| Proptech and data products | Power a property search app or AVM with normalized buy, rent, and sold listings at scale |
| Market analysts | Track price drops, days on market, and inventory across neighborhoods over time |
| Mortgage and lending | Enrich applications with tax history, valuations, and assigned-school data for a property |
| Rental operators | Aggregate every rental in a metro with rent, beds, baths, and per-unit pricing for buildings |
| Researchers | Compare home values, year built, and lot size across cities and ZIP codes |
📥 Input parameters
You only need a location (or a Zillow link) and how many homes you want. Everything else is optional.
Core
| Field | Type | Required | Description |
|---|---|---|---|
location | string | Yes* | A city, ZIP, neighborhood, county, state, or address. Example: Austin, TX. |
locations | array of strings | No | Search several locations in one run. Overrides location when set. |
startUrls | array of links | No | Zillow links to scrape: search pages (https://www.zillow.com/austin-tx/rentals/) and property pages (https://www.zillow.com/homedetails/..._zpid/). When set, location and locations are ignored. |
operation | string | No | buy, rent, or sold. Default buy. A Start URL that names its own market (for rent, sold) uses that market. |
maxItems | integer | Yes | Maximum number of listings to return. Default 100. |
fetchDetails | boolean | No | Enrich each listing with full detail-page data (price/tax history, schools, lot facts, agent). Default false. |
* Provide location, locations, or startUrls.
Start URLs keep what you were looking at: the exact area on the map, the price, bed and bath filters in the link, and the market it names. A property page link returns that home as one listing with the same fields as a search result; turn on fetchDetails to add its description, price and tax history, schools and agent. You can mix search pages and property pages in the same run.
Filters
| Field | Type | Description |
|---|---|---|
minPrice / maxPrice | integer | Price range. Per month for rentals. 0 for any. |
minBeds / maxBeds | integer | Bedroom range. 0 for any. |
minBaths | number | Minimum bathrooms. |
homeTypes | array | Restrict to houses, townhomes, multifamily, condos, land, apartments, manufactured. Empty for all. |
sortBy | string | newest, relevance, lowPrice, highPrice, bedrooms, bathrooms, sqft, lotSize, yearBuilt. |
locationType | string | Force a match type (city, zipcode, neighborhood, county, state) when a name is ambiguous. Auto-detects by default. |
{"location": "Austin, TX","operation": "buy","maxItems": 500,"minPrice": 300000,"maxPrice": 600000,"minBeds": 3,"homeTypes": ["houses"],"sortBy": "newest"}
📊 Output data
One record per home. The base record covers everything on the listing card and more.
{"zpid": "29489604","url": "https://www.zillow.com/homedetails/5800-Breezewood-Dr-Austin-TX-78745/29489604_zpid/","operation": "buy","statusText": "Active","homeStatus": "FOR_SALE","homeType": "SINGLE_FAMILY","price": 350000,"currency": "USD","pricePerSqft": 299.15,"beds": 3,"baths": 2,"livingArea": 1170,"lotAreaValue": 6298.776,"lotAreaUnit": "sqft","address": { "streetAddress": "5800 Breezewood Dr", "city": "Austin", "state": "TX", "zipcode": "78745" },"latitude": 30.204609,"longitude": -97.77888,"daysOnZillow": 1,"zestimate": 352800,"rentZestimate": 2450,"taxAssessedValue": 328033,"priceChange": -17000,"datePriceChanged": "2026-06-18","listingTypes": ["FSBA"],"brokerName": "Jorgenson Real Estate","photos": ["https://photos.zillowstatic.com/fp/00b223faef21b41ee54f5db0bcf4a1ce-p_e.jpg"]}
With fetchDetails: true, each record gains a details object with the full property profile:
{"zpid": "29489604","price": 350000,"details": {"description": "Clean, move-in-ready home in South Austin...","yearBuilt": 1971,"lotSize": "6,298 sqft","parcelNumber": "04160911220000","taxAnnualAmount": 5793,"monthlyHoaFee": 0,"stories": 1,"heating": ["Central", "Electric"],"cooling": ["Central Air", "Electric"],"appliances": ["Dishwasher", "Gas Range", "Microwave", "Oven"],"agentName": "Mike Kelly","agentPhone": "(512) 439-3698","brokerName": "Jorgenson Real Estate","mlsId": "4443738","priceHistory": [{ "date": "2026-06-25", "event": "Listed for sale", "price": 350000, "pricePerSqft": 299 }],"taxHistory": [{ "year": "2025", "taxPaid": 4744.89, "value": 328033, "valueIncreaseRate": -0.14 }],"schools": [{ "name": "Pleasant Hill Elementary School", "rating": 3, "grades": "PK-5", "distance": 0.6 }]}}
🗂️ Data fields
Listing
| Category | Fields |
|---|---|
| Identity | zpid, url, operation, statusType, statusText, homeStatus |
| Price | price, priceText, currency, pricePerSqft, priceChange, datePriceChanged |
| Size | beds, baths, livingArea, lotAreaValue, lotAreaUnit, homeType |
| Location | address (street, city, state, ZIP), latitude, longitude |
| Market | daysOnZillow, zestimate, rentZestimate, taxAssessedValue, dateSold |
| Flags | listingTypes, isFeatured, isZillowOwned, isNonOwnerOccupied, isPremierBuilder, hasVideo, has3DModel |
| Media | imgSrc, photos |
| Broker | brokerName |
| Rentals | unit, isBuilding, buildingName, minBaseRent, maxBaseRent, unitCount, units |
Details (with fetchDetails: true)
| Category | Fields |
|---|---|
| Description | description, yearBuilt, lotSize, stories, parcelNumber |
| Facts | heating, cooling, appliances, flooring, hasGarage, parkingCapacity, pricePerSqft |
| Money | zestimate, rentZestimate, monthlyHoaFee, propertyTaxRate, taxAnnualAmount, lastSoldPrice |
| History | priceHistory, taxHistory |
| Schools | schools (name, rating, grades, distance, link) |
| Agent | agentName, agentPhone, agentEmail, brokerName, mlsId, mlsName |
🚀 Examples
Get the newest homes for sale in a city
{ "location": "Austin, TX", "operation": "buy", "maxItems": 200 }
Pull every recently sold home in a ZIP for comps
{ "location": "78745", "operation": "sold", "maxItems": 1000, "fetchDetails": true }
Build a rental lead list under a budget
{ "location": "Denver, CO", "operation": "rent", "maxPrice": 2500, "minBeds": 2, "maxItems": 500 }
Find 4-bed houses in a price band with full detail
{ "location": "Phoenix, AZ", "operation": "buy", "minBeds": 4, "minPrice": 400000, "maxPrice": 700000, "homeTypes": ["houses"], "fetchDetails": true, "maxItems": 300 }
Scrape several metros in one run, cheapest first
{ "locations": ["Miami, FL", "Tampa, FL", "Orlando, FL"], "operation": "buy", "sortBy": "lowPrice", "maxItems": 1500 }
Reproduce a search exactly as you had it on Zillow
{ "startUrls": [{ "url": "https://www.zillow.com/homes/for_rent/Austin,-TX_rb/?searchQueryState=%7B%22pagination%22%3A%7B%22currentPage%22%3A1%7D%2C%22mapBounds%22%3A%7B%22west%22%3A-97.9%2C%22east%22%3A-97.6%2C%22south%22%3A30.2%2C%22north%22%3A30.5%7D%2C%22filterState%22%3A%7B%22price%22%3A%7B%22min%22%3A1500%2C%22max%22%3A3000%7D%7D%7D" }], "maxItems": 200 }
Get specific homes with their full profile
{ "startUrls": [{ "url": "https://www.zillow.com/homedetails/15120-Thatcher-Dr-Austin-TX-78717/52830624_zpid/" }, { "url": "https://www.zillow.com/homedetails/1140-23rd-Ave-E-Seattle-WA-98112/48725499_zpid/" }], "fetchDetails": true, "maxItems": 2 }
Mix a saved search and a single home in one run
{ "startUrls": [{ "url": "https://www.zillow.com/seattle-wa/sold/" }, { "url": "https://www.zillow.com/homedetails/15120-Thatcher-Dr-Austin-TX-78717/52830624_zpid/" }], "maxItems": 100 }
🤖 Copy to your AI assistant
Paste this block into Claude, ChatGPT, or Cursor to give it full context about this scraper:
You have access to the Zillow Scraper on Apify: silentflow/zillow-scraperIt scrapes U.S. residential listings (for sale, for rent, recently sold) from Zillow by location or by Zillow link.Input schema:- location (string): a city, ZIP, neighborhood, county, state, or address. Required unless locations or startUrls is set.- locations (array of strings): scrape several locations in one run; overrides location.- startUrls (array of {"url": "..."} objects or plain strings): Zillow search page links (crawls exactly the area,filters and market in the link) and property page links (returns that home as one listing; add fetchDetailsfor its full profile). When set, location and locations are ignored.- operation (string): "buy" | "rent" | "sold". Default "buy". A start URL that names its own market uses that market.- maxItems (integer, required): max listings to return. Default 100. No hard cap from the source.- minPrice, maxPrice (integer): price range (per month for rent). 0 = any.- minBeds, maxBeds (integer): bedroom range. 0 = any.- minBaths (number): minimum bathrooms.- homeTypes (array): "houses","townhomes","multifamily","condos","land","apartments","manufactured".- sortBy (string): "newest","relevance","lowPrice","highPrice","bedrooms","bathrooms","sqft","lotSize","yearBuilt".- locationType (string): force "city"|"zipcode"|"neighborhood"|"county"|"state"; auto-detects by default.- fetchDetails (boolean, default false): enrich each listing with price/tax history, schools, lot facts, HOA, and agent contact.Output per listing (flat JSON): zpid, url, operation, statusText, homeStatus, homeType, price, currency,pricePerSqft, beds, baths, livingArea, lotAreaValue, lotAreaUnit, address{streetAddress,city,state,zipcode},latitude, longitude, daysOnZillow, zestimate, rentZestimate, taxAssessedValue, priceChange, datePriceChanged,listingTypes, brokerName, photos[], and (for rentals) buildingName/minBaseRent/maxBaseRent/units.With fetchDetails, a details object adds description, yearBuilt, lotSize, parcelNumber, heating/cooling/appliances,agentName/agentPhone/agentEmail/brokerName/mlsId, priceHistory[], taxHistory[], schools[].Pay per result. Proxies included. Use apify-client for Python or JS.
💻 Integrations
Build a comps list for an investor (Python)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("silentflow/zillow-scraper").call(run_input={"location": "78745","operation": "sold","maxItems": 1000,"fetchDetails": True,})comps = []for home in client.dataset(run["defaultDatasetId"]).iterate_items():comps.append({"address": home["address"]["streetAddress"],"soldPrice": home.get("price"),"soldDate": home.get("dateSold"),"perSqft": home.get("pricePerSqft"),"beds": home.get("beds"),})comps.sort(key=lambda c: c["soldPrice"] or 0)print(f"{len(comps)} comparable sales")
Build an agent lead list (JavaScript)
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('silentflow/zillow-scraper').call({location: 'Denver, CO',operation: 'buy',fetchDetails: true,maxItems: 500,});const { items } = await client.dataset(run.defaultDatasetId).listItems();const leads = items.map(h => h.details && ({agent: h.details.agentName,phone: h.details.agentPhone,brokerage: h.details.brokerName,listing: h.url,})).filter(Boolean);console.log(`${leads.length} agent leads ready for outreach`);
Export straight to CSV (Apify CLI)
apify call silentflow/zillow-scraper \--input '{"location":"Phoenix, AZ","operation":"rent","maxItems":1000}' \--output-dataset \| apify datasets get-items --format csv > phoenix-rentals.csv
📈 Performance
| Metric | Value |
|---|---|
| Markets | All U.S. cities, ZIPs, neighborhoods, counties, states |
| Operations | For sale, for rent, recently sold |
| Result cap | None from the source. Set maxItems to whatever you need. |
| Coverage | Whole-metro, not the capped browser page |
| Detail enrichment | Optional, per listing |
| Proxies | Residential, included |
| Reliability | High |
💾 Data export
Every run produces a dataset you can download from the Apify console as JSON, CSV, Excel, XML, or RSS, or pull programmatically:
https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&token=YOUR_TOKEN
Schedule runs, trigger them by API, or connect the output to Make, Zapier, Google Sheets, or your own database.
💡 Tips for best results
- Use a clear location.
Austin, TXbeatsAustin. Add the state to avoid matching the wrong city. For a single property, paste the full address. - Filter at the source. Set
minPrice,minBeds, andhomeTypesin the input instead of pulling everything and filtering later. You get exactly what you need and nothing extra. - Turn on
fetchDetailsonly when you need depth. The base listing already has price, beds, baths, photos, and valuations. Add detail when you want price history, schools, lot facts, or agent contact. - Run several markets at once. Pass a
locationsarray to cover a whole region in one run instead of starting one job per city. - Already set up the search on Zillow? Paste the link. Put it in
startUrlsand the run keeps the same map area and filters, with no need to retype them. - For sold comps, always enable
fetchDetails. Zillow hides the sold price on the result card, so detail enrichment fills it in along with the full sale and tax history.
❓ FAQ
What does this scraper extract? Residential listings from Zillow for sale, for rent, and recently sold, with price, beds, baths, square footage, lot size, location, photos, Zestimate, days on market, and listing status. With detail enrichment it also returns description, price and tax history, assigned schools, construction and lot facts, HOA, and the listing agent's contact.
How do I search? Do I need a Zillow URL? No URL needed. Type a city, ZIP, neighborhood, county, state, or address. The scraper resolves it for you. If you prefer, you can paste Zillow links instead (see the next question).
Can I paste a Zillow search or property link?
Yes. Put one or more links in startUrls. A search page link (for example https://www.zillow.com/austin-tx/rentals/, or the address bar after you drew a map area and set filters) returns the homes of that search, with the same area, price, bed and bath filters, and market. A property page link (https://www.zillow.com/homedetails/..._zpid/) returns that home as one listing, and with fetchDetails on you also get its description, price and tax history, schools, HOA and agent. You can mix both kinds in one run, and maxItems caps the total. When startUrls is set, the location fields are ignored.
Can I scrape several locations in one run?
Yes. Use the locations array. Each location is searched and the results are combined and de-duplicated.
Is there a limit on how many homes I can get?
No hard cap from the source. The scraper covers a whole market, not the capped page the browser shows. Set maxItems to your target.
Do I need a Zillow account or login? No. The scraper reads publicly available listing data. No login, no API key.
How fresh is the data? Each run reads Zillow live, so you get the current listings and prices at the moment you run it.
Why is the price empty on some sold homes?
Zillow does not show the sold price on the search card. Turn on fetchDetails and the sold price is filled in from the property's price history.
Can I get the listing agent's contact?
Yes, with fetchDetails. You get the agent's name, phone, and brokerage. Email is included when the listing exposes it publicly.
What about apartment buildings with many units? Buildings return as one record with the building name, availability, and per-unit pricing (beds and rent) instead of a single price.
⚖️ Legal
This Actor extracts publicly available data from Zillow. It does not bypass any login, paywall, or CAPTCHA. Users are responsible for complying with Zillow's terms of service and applicable laws in their jurisdiction. The data returned is informational; verify accuracy for regulated use cases such as lending, appraisal, or compliance.
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Kakao - Kakao Scraper | Map Places, Reviews and Phones
OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
Teachable Course - Teachable Course Scraper
Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts
Website Tech Stack - Website Tech Stack Scraper
✈️ Travel
Google Maps - Google Maps Scraper
Booking.com Hotel - Booking.com Hotel Scraper
Flight Price - Flight Price Scraper
Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
Booking - Booking Scraper | Hotel Prices, Photos, Availability
🎯 Lead generation
Northdata - Northdata Company Scraper
ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
UK Companies House - UK Companies House Enricher
Dealroom - Dealroom Scraper | Companies and Investors
CNPJ Brazilian - CNPJ Brazilian Company Enricher
Google Ads Transparency - Google Ads Transparency Scraper
SIRET - SIRET Company Enricher
BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
Domain - Domain Enricher
French Company Prospector - French Company Prospector
SEC - SEC Scraper | EDGAR Filings and Company Data
USPTO - USPTO Scraper | Trademark Search and Status
ZocDoc - ZocDoc Scraper
Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
Clutch Agency - Clutch Agency Scraper
Dealroom Startup Data - Dealroom Startup Data Scraper
G2 - G2 Reviews Scraper
PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
PagesJaunes - PagesJaunes Business Scraper
SIRET French - SIRET French Company Enricher
ThomasNet Suppliers - ThomasNet Suppliers Scraper
🔎 SEO
Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
Google News - Google News Scraper
Apple - Apple Scraper | App Store Apps, Ratings and Charts
📈 Marketing
🧰 More tools
PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections
Apple - Apple Reviews Scraper | App Store Reviews and Ratings
📬 Support
Need something this scraper doesn't do yet? We ship features fast.
- Feature requests go straight to our backlog
- Enterprise needs? We do custom integrations and high-volume plans
- Pricing questions? Check the Monetization tab on the Actor page
Response time: usually under 24 hours.
Check out our other scrapers: silentflow on Apify
