Realtor.com Property Listings Scraper

Scrape Realtor.com property listings by ZIP code, city, or neighborhood. Returns structured real-estate data — full address, price, beds, baths, square footage, property type, year built, photos, listing source, and the direct listing URL — for for-sale, rental, and recently sold homes.

Ideal for real-estate lead generation, market analysis, investment research, comparable-sales (comps) workflows, and feeding property data into CRMs or dashboards.

What it scrapes

• For-sale listings, rentals, and recently sold homes
• Any U.S. location: ZIP (10001), city (Brooklyn, NY), or ZIP, City, ST
• Price, bed/bath/price filters
• Full pagination up to your maxItems cap

Output fields

Field	Description
address, city, state, postalCode	Full property address
lat, lng	Coordinates
price	Listing price (sale price or monthly rent)
listPrice, listPriceMin, listPriceMax	Raw price fields from the source
beds, baths, sqft	Size details
propertyType, yearBuilt	Property metadata
status	for_sale, for_rent, or sold
listDate	When the listing was posted
isNewListing, isPriceReduced, isPending, isNewConstruction, isForeclosure	Listing flags
photoUrl, photoCount	Primary photo and image count
estimateUsd	Estimated value
dataSource	Listing brokerage/source
listingUrl	Direct Realtor.com listing URL
scrapedAt	ISO timestamp of the scrape

Example input

{}

Runs with defaults: for-sale listings in ZIP 10001, 10 results.

Custom example:

{
    "searchQuery": "Austin, TX",
    "status": "for_sale",
    "minPrice": 300000,
    "maxPrice": 800000,
    "minBeds": 3,
    "maxItems": 100
}

Example output

{
    "propertyId": "9124860867",
    "status": "for_sale",
    "address": "15 Hudson Yards Ph 88C",
    "city": "New York",
    "state": "NY",
    "postalCode": "10001",
    "price": 19950000,
    "beds": 4,
    "baths": 7,
    "sqft": 5139,
    "propertyType": "condos",
    "yearBuilt": 2019,
    "photoUrl": "https://ap.rdcpix.com/...jpg",
    "dataSource": "CorcoranGroup",
    "listingUrl": "https://www.realtor.com/realestateandhomes-detail/15-Hudson-Yards-88C_New-York_NY_10001_M91248-60867",
    "scrapedAt": "2026-05-18T00:00:00.000Z"
}

Use cases

• Lead generation — build prospect lists for agents and brokerages
• Market analysis — track inventory, pricing, and days-on-market by area
• Comps — pull comparable sales for valuation
• Investment research — screen properties by price, beds, and location
• Data enrichment — feed listing data into CRMs, dashboards, and models

Pricing

Pay-per-event: $0.05 per run start + $0.012 per listing scraped.