Zillow Real Estate Scraper

Get property listings from Zillow.com as clean JSON. Works with for-sale, for-rent, and recently-sold listings across the US. Returns 30+ fields per listing including price, address, Zestimate, broker name, GPS coordinates, days on market, and photos. No login required.

At $0.50 per 1,000 listings, this is the cheapest reliable Zillow scraper on Apify.

What you can do with it

• Track price drops and new listings in a market you follow
• Pull recently sold homes for comparable market analysis
• Export rental inventory for pricing research
• Feed live real-estate data into your CRM, dashboard, or AI agent
• Enrich a list of specific properties by their Zillow ID

How to use it

Option 1: Enter one or more locations. Set locations to a list of cities, ZIP codes, or neighborhoods. Each entry becomes a separate search.

Los Angeles, CA
Miami, FL
Brooklyn, NY
90210
Austin, TX

Option 2: Paste Zillow search URLs. Open zillow.com, apply your filters (price range, beds, home type), copy the browser URL, and paste it into searchUrls. Use this when you need Zillow's advanced filters that aren't exposed as inputs here.

Minimal input

{
  "locations": ["Miami, FL"],
  "listingType": "for_sale",
  "maxItems": 100
}

Input with full details

{
  "locations": ["Austin, TX", "78701"],
  "listingType": "for_sale",
  "maxItems": 50,
  "fetchDetails": true,
  "preferDatacenter": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "countryCode": "US"
  }
}

Input parameters

Parameter	Type	Description
searchUrls	array	Zillow search URLs. Best when you need Zillow's advanced filters.
locations	array	Cities, ZIP codes, or neighborhoods. One search per entry.
listingType	string	for_sale, for_rent, or recently_sold. Default for_sale.
maxItems	integer	Maximum listings to return across all searches. Default 100.
fetchDetails	boolean	Visit each property page to add description, MLS ID, HOA fee, price history, and school count. Off by default.
concurrency	integer	Parallel HTTP requests. Default 2.
preferDatacenter	boolean	Route through Apify's cheaper datacenter pool first, with automatic fallback to residential if blocked. Off by default.
proxyConfiguration	object	Apify proxy settings. Residential + US by default.

What you get back

For every listing, the scraper returns:

• Price and Zestimate (Zillow's estimated market value)
• Rent Zestimate (Zillow's estimated monthly rent)
• Broker name (listing brokerage or agent)
• Full address broken into street, city, state, and ZIP
• GPS coordinates
• Property type (Single Family, Condo, Townhouse, etc.)
• Bedrooms and bathrooms
• Living area in sqft and lot size in sqft
• Year built
• Days on market
• Tax assessed value
• Price change amount, badge, and date (when a price drop happened)
• Media flags (3D tour, video tour) and photo count
• Photo URLs
• Listing status (FOR_SALE, FOR_RENT, RECENTLY_SOLD)
• Date sold and final sale price for recently-sold listings
• Next open house time and date, if scheduled

With fetchDetails: true, every listing is also enriched from its property detail page with:

• Full listing description
• HOA monthly fee
• MLS ID
• Complete price history (date, event, and price for every past change)
• Number of associated schools

Output example

{
  "property_image_url": "https://photos.zillowstatic.com/fp/abc123-p_e.jpg",
  "zpid": "20527905",
  "url": "https://www.zillow.com/homedetails/123-Main-St-Los-Angeles-CA-90001/20527905_zpid/",
  "status": "FOR_SALE",
  "listing_type": "for_sale",
  "price": 750000,
  "zestimate": 780000,
  "rent_zestimate": 3400,
  "address": "123 Main St Los Angeles, CA 90001",
  "address_street": "123 Main St",
  "city": "Los Angeles",
  "state": "CA",
  "zip_code": "90001",
  "latitude": 34.052235,
  "longitude": -118.243683,
  "property_type": "Single Family",
  "bedrooms": 3,
  "bathrooms": 2,
  "living_area_sqft": 1800,
  "lot_size_sqft": 6000,
  "year_built": 1995,
  "days_on_market": 12,
  "tax_assessed_value": 680000,
  "broker_name": "Compass Realty",
  "price_change": -25000,
  "price_reduction": "$25,000 (Jul 20)",
  "has_3d_tour": true,
  "has_video": false,
  "photos": ["https://photos.zillowstatic.com/fp/abc123.jpg"],
  "source_url": "https://www.zillow.com/homes/Los-Angeles,-CA_rb/",
  "source_platform": "zillow.com",
  "scraped_at": "2026-07-27T10:00:00Z"
}

Full field reference

Field	Type	Description
property_image_url	string	Main property photo URL
zpid	string	Zillow property ID
url	string	Zillow listing URL
status	string	Listing status (FOR_SALE, FOR_RENT, RECENTLY_SOLD)
listing_type	string	Search type: for_sale, for_rent, recently_sold
price	number	Asking price in USD
zestimate	number	Zillow's estimated market value in USD
rent_zestimate	number	Zillow's estimated monthly rent in USD
address	string	Full address
address_street	string	Street address
city	string	City name
state	string	State abbreviation
zip_code	string	ZIP code
latitude	number	GPS latitude
longitude	number	GPS longitude
property_type	string	Property type (Single Family, Condo, etc.)
bedrooms	number	Number of bedrooms
bathrooms	number	Number of bathrooms
living_area_sqft	number	Living area in square feet
lot_size_sqft	number	Lot size in square feet
year_built	number	Year built
days_on_market	number	Days on Zillow
tax_assessed_value	number	Tax assessed value in USD
broker_name	string	Listing brokerage or agent name
price_change	number	Recent price change in USD (negative means reduction)
price_reduction	string	Zillow's human-readable reduction badge
price_changed_at	string	Date of the most recent price change
has_3d_tour	boolean	Property has a 3D walkthrough
has_video	boolean	Property has a video tour
photos	array	Property photo URLs
photo_count	number	Total number of photos on the listing
date_sold	string	Date sold (recently_sold listings)
listing_sold_price	number	Final sale price in USD (recently_sold listings)
open_house	string	Next open house time and date, if scheduled
description	string	Full listing description (fetchDetails only)
hoa_monthly_fee	number	Monthly HOA fee in USD (fetchDetails only)
mls_id	string	MLS listing ID (fetchDetails only)
price_history	array	Full price event history (fetchDetails only)
schools_count	number	Number of associated schools (fetchDetails only)
source_url	string	Search URL used
source_platform	string	Always zillow.com
scraped_at	string	ISO timestamp

Use it with AI agents (MCP)

Connect this actor to any MCP-compatible AI client (Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents).

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/zillow-scraper

Example prompt once connected:

"Use zillow-scraper to get for-sale listings in Miami, FL. Return price, beds, baths, and address as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Tips for best results

• Save on cost with preferDatacenter: true. Datacenter proxy runs are about 6x cheaper than residential. If a session hits a block, the actor rotates sessions automatically and falls back to residential after 3 consecutive blocks. Same output, lower cost per run.
• Residential is the default because it always works. Leave it on if you want maximum reliability without thinking about proxies.
• Recently sold returns homes sold in the past 90 days.
• Zillow caps search results at about 1,000 listings per query. For a full market, split by neighborhood or ZIP code.
• Rental listings on Zillow often group multiple units under an apartment building. Set fetchDetails: true to enrich those with per-unit data.
• The scraper rotates browser fingerprints and proxy sessions automatically for the best success rate.

Pricing

Pay only for what you get. No monthly fee, no minimum.

Event	Price
Actor start	$0.001
Per property listing (search)	$0.50 per 1,000
Per property with full details	$1.50 per 1,000 (only when fetchDetails: true)

A run scraping 100 listings costs about $0.05. Adding full detail enrichment on top brings it to about $0.20.

Legal

This scraper accesses only publicly available property listings on Zillow.com. Use the data for market research, real estate analysis, or feeding your own product. Do not resell the raw dataset as-is, and respect Zillow's terms of use in downstream applications.