Realtor.com Scraper — US Real Estate Listings

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📌 Overview

The Realtor.com Scraper collects US residential property listings from Realtor.com and returns each one as a clean, structured record: price, beds, baths, sqft, lot size, property type, status, listing agent / broker, photos and exact coordinates. It covers homes that are for sale, for rent or recently sold, and paginates each search to pull thousands of listings per run.

Just enter a location (city + state, ZIP, county or neighborhood) and a listing type — or paste Realtor.com search URLs directly. The actor reads only public listing data through US residential proxies, so it needs no login, no cookies and no API key.

✅ Set a location, raise maxResults, and assemble an analysis-ready property dataset — comps, market research, lead lists or valuation models — in a single run.

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✨ Features

	Feature	Description
📦	Thousands per run	Walks the full search result set with deep pagination.
🏷️	Full property data	Price, beds, baths, sqft, lot size, year built, garage & stories.
🔁	For sale · for rent · sold	Pick the listing type, or scrape any search URL.
👤	Agent & broker	Listing agent name and the listing brokerage / office.
📍	Exact coordinates	Lat / lng for every listing — ready for mapping & GIS.
🖼️	All photos	Full image gallery URLs per property.
🎚️	Smart filters	Min / max price, min beds, min baths and sort order.
⚡	No browser	Lightweight API access — fast and cheap at scale.
🛡️	Login-free	Public data over US residential proxies — no account needed.
📤	Any format	Export to JSON, CSV, Excel, HTML or pull via API & webhooks.

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🎯 Who it's for

• Real estate investors & analysts — pull comps and inventory by market in seconds.
• Proptech & data teams — feed listing data into valuation, AVM and ML models.
• Agents & brokers — monitor new listings, price changes and days on market.
• Lead generation — build targeted lists of listings, agents and brokerages.
• Researchers — study housing supply, pricing and trends across US metros.

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🧾 Input

Field	Type	Description
location	string	City + state, ZIP, county or neighborhood (Austin, TX, 90210, Miami, FL). Used when no Search URLs are given.
listingType	string	forSale, forRent or sold. Default forSale.
searchUrls	array	Optional. Realtor.com search URLs to scrape instead of the location builder. Takes priority over location.
minPrice / maxPrice	integer	Price range filter (USD).
minBeds / minBaths	integer	Minimum bedrooms / bathrooms.
sortBy	string	relevant, newest, price_low or price_high.
maxResults	integer	Max listings to collect across the run. Default 200.
proxyConfiguration	object	US residential proxy (required). Pre-configured for you.

Example input

{
  "location": "Austin, TX",
  "listingType": "forSale",
  "minPrice": 250000,
  "maxPrice": 750000,
  "minBeds": 3,
  "sortBy": "newest",
  "maxResults": 1000
}

Or scrape search URLs directly

{
  "searchUrls": [
    "https://www.realtor.com/realestateandhomes-search/Austin_TX",
    "https://www.realtor.com/realestateandhomes-search/Miami_FL"
  ],
  "maxResults": 2000
}

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📦 Output

Each listing is saved as one structured record:

{
  "listingId": "2995782396",
  "propertyId": "8949222794",
  "url": "https://www.realtor.com/realestateandhomes-detail/801-Huntingdon-Pl_Austin_TX_78745_M89492-22794",
  "status": "for_sale",
  "price": 174900,
  "address": "801 Huntingdon Pl",
  "city": "Austin",
  "state": "TX",
  "postalCode": "78745",
  "county": "Travis",
  "lat": 30.195624,
  "lng": -97.79123,
  "beds": 4,
  "baths": 2,
  "sqft": 1137,
  "lotSize": 6673,
  "propertyType": "single_family",
  "yearBuilt": 1971,
  "garage": 1,
  "stories": 1,
  "listDate": "2026-05-21T23:58:33Z",
  "daysOnMarket": 14,
  "soldPrice": null,
  "soldDate": null,
  "agent": "Jane Smith",
  "broker": "Kritt Real Estate, LLC",
  "images": [
    "http://ap.rdcpix.com/...-m2256901179s.jpg",
    "http://ap.rdcpix.com/...-m2070052377s.jpg"
  ],
  "flags": { "is_new_listing": true, "is_price_reduced": null }
}

📖 Output field reference

Field	Description
price / soldPrice	List price, and last sold price (for sold listings)
beds / baths / sqft / lotSize	Core property size metrics
propertyType	single_family, townhomes, condos, land, etc.
status	for_sale, for_rent, sold, ready_to_build
address / city / state / postalCode / county	Full address breakdown
lat / lng	Exact geo-coordinates
yearBuilt / garage / stories	Additional building details
listDate / daysOnMarket	When it was listed and how long it's been live
agent / broker	Listing agent and brokerage / office
images	All listing photo URLs
url	Direct link to the listing on Realtor.com

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⚙️ How it works

1. You provide a location + listing type, or paste Realtor.com search URLs.
2. The actor resolves each search and walks the full result set with deep pagination.
3. Each property is parsed into a clean record with price, size, location, agent and photos.
4. Your price / beds / baths filters and sort order are applied, and results stream to the dataset, de-duplicated by property.

No login, no cookies and no API key — it reads only public listing data over US residential proxies.

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❓ FAQ

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🔗 Works great with

• 📍 Google Maps Scraper — enrich neighborhoods with nearby POIs.
• 🧰 Web Scraper / API — pipe listings into your own valuation or CRM workflow.

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📝 Changelog

2026-06-04

• Verified live & refreshed build — reliability/maintenance pass.