Realtor.com Scraper

Pull property listings from Realtor.com at scale — prices, addresses, photos, schools, value estimates, agent contacts, price history, and environmental risk scores for every for-sale, rental, and recently sold home across the United States. Built for real estate investors, CRM teams, and analytics platforms that need fresh Realtor.com data without building and maintaining their own scraper.

Why This Scraper?

• All 50 US states, every ZIP — search by city, ZIP, or paste any Realtor.com URL. No hand-crafting search links, no per-state setup.
• For sale, for rent, and recently sold — three listing statuses in one actor; flip a single dropdown to switch.
• Seven property type filters — single family, condos, townhomes, multi-family, land, mobile homes, or farms & ranches.
• Multi-source AVM value estimates — automated valuation models surface alongside the asking price for every detail-enriched property.
• Five-category environmental risk scoring — flood, fire, heat, wind, and air quality scores on every property, with severity labels.
• Verified listing agent contacts — name, email, phone, and brokerage office captured for every active listing.
• Full price history and assigned schools — every sale, list, and price change event, plus nearby schools with ratings and distance.
• Automatic deduplication — no duplicate properties, even when overlapping search areas pull the same listing twice.

Use Cases

Real Estate Investment & Analysis

• Compare asking prices to automated value estimates across neighborhoods
• Track recently sold properties to identify market trends
• Analyze price per square foot across ZIP codes
• Monitor days on market to gauge demand

Market Research

• Map inventory by city, state, or ZIP
• Compare property types (single family vs. condos) across markets
• Track new construction in growth areas
• Identify foreclosure and price-reduced opportunities

Lead Generation

• Build listing-agent contact lists with name, email, and phone
• Find listing offices in target markets
• Target properties by status (coming soon, pending, contingent)
• Identify new listings within the past 14 days

Data Enrichment & Integration

• Enrich existing property databases with current pricing and status
• Feed property data into analytics dashboards
• Power real estate comparison tools and market reports
• Build alerting systems for price changes and new listings

Getting Started

Search by Location

The simplest way to start — just a city and state:

{
    "searchLocations": ["Austin, TX"],
    "maxItems": 50
}

Search by ZIP Code

{
    "searchLocations": ["78701", "78702", "78703"],
    "listingStatus": "for_sale",
    "maxItems": 100
}

Recently Sold Properties

{
    "searchLocations": ["Denver, CO"],
    "listingStatus": "recently_sold",
    "propertyType": "single_family",
    "maxItems": 200
}

Rental Listings

{
    "searchLocations": ["Miami, FL"],
    "listingStatus": "for_rent",
    "maxItems": 100
}

Using Realtor.com URLs

Paste any Realtor.com search or property detail URL directly:

{
    "startUrls": [
        { "url": "https://www.realtor.com/realestateandhomes-search/Austin_TX" },
        { "url": "https://www.realtor.com/realestateandhomes-detail/2401-Thornton-Rd_Austin_TX_78704_M71466-07795" }
    ],
    "maxItems": 100
}

Full-Featured Example

{
    "searchLocations": ["San Francisco, CA", "94102"],
    "startUrls": [
        { "url": "https://www.realtor.com/realestateandhomes-search/Oakland_CA" }
    ],
    "listingStatus": "for_sale",
    "propertyType": "condos",
    "maxItems": 500,
    "includePropertyDetails": true
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	URL[]	[]	Realtor.com URLs to scrape. Supports search pages and individual property listings. The scraper auto-detects the URL type.
searchLocations	string[]	[]	Search by city and state (e.g. "Austin, TX") or ZIP code (e.g. "78701"). No need to build URLs manually.

Search Filters

Parameter	Type	Default	Description
listingStatus	select	For Sale	Type of listings: For Sale, For Rent, or Recently Sold. Applies to location-based searches.
propertyType	select	All Types	Filter by property type: Single Family, Condos, Townhomes, Multi-Family, Land, Mobile Homes, or Farms & Ranches.

Options

Parameter	Type	Default	Description
maxItems	integer	100	Maximum number of results to return. Set to 0 for unlimited. Start with 10-50 to test, then increase.
includePropertyDetails	boolean	true	Fetch full details for each property (schools, price history, estimates, description, environmental risks). Slower but much richer data. When off, only basic search result fields are returned.

Output

Here's a representative result with full details enabled:

{
    "property_id": "9797030113",
    "status": "for_sale",
    "href": "https://www.realtor.com/realestateandhomes-detail/2401-Thornton-Rd_Austin_TX_78704_M97970-30113",
    "list_price": 575000,
    "price_per_sqft": 345,
    "last_sold_price": 420000,
    "last_sold_date": "2019-06-15",
    "days_on_market": 12,
    "list_date": "2026-04-01T00:00:00Z",
    "photo_count": 28,
    "address_line": "2401 Thornton Rd",
    "address_city": "Austin",
    "address_state_code": "TX",
    "address_postal_code": "78704",
    "address_lat": 30.2432,
    "address_lon": -97.7654,
    "county_name": "Travis",
    "neighborhoods": "Zilker",
    "beds": 3,
    "baths_consolidated": "2.5",
    "sqft": 1665,
    "lot_sqft": 6500,
    "year_built": 1972,
    "property_type": "single_family",
    "description_text": "Charming updated home in the heart of Zilker with open floor plan...",
    "tags": ["central_air", "hardwood_floors", "updated_kitchen"],
    "primary_agent_name": "Jane Smith",
    "primary_agent_email": "jane@realestate.com",
    "primary_agent_phone": "5125551234",
    "primary_office_name": "Austin Premier Realty",
    "hoa_fee": 150,
    "mortgage_monthly_payment": 3450,
    "assigned_schools": [
        { "name": "Zilker Elementary", "rating": 8, "distance_in_miles": 0.4 }
    ],
    "property_history": [
        { "date": "2019-06-15", "event_name": "Sold", "price": 420000 }
    ],
    "local_flood_score": 2,
    "local_fire_score": 1,
    "estimates_current": [
        { "source": { "name": "Quantarium" }, "estimate": 589000 }
    ],
    "photo_urls": ["https://ap.rdcpix.com/example1.jpg"],
    "scraped_at": "2026-04-16T14:30:00Z"
}

Core Fields

Field	Type	Description
property_id	string	Unique Realtor.com property identifier
status	string	Listing status (for_sale, for_rent, sold, etc.)
href	string	Direct Realtor.com listing URL
list_price	number	Current asking price in USD
price_per_sqft	number	Price per square foot
days_on_market	number	Days actively listed
list_date	string	Date listed
beds	number	Number of bedrooms
baths_consolidated	string	Formatted bathroom count (e.g. "2.5")
sqft	number	Living area in square feet
lot_sqft	number	Lot size in square feet
year_built	number	Year constructed
property_type	string	single_family, condos, townhomes, etc.
description_text	string	Full listing description
tags	string[]	Amenity and feature tags
photo_urls	string[]	All listing photo URLs
photo_count	number	Number of listing photos
scraped_at	string	ISO timestamp of data extraction

Address & Location

Field	Type	Description
address_line	string	Full street address
address_city	string	City
address_state_code	string	Two-letter state code
address_postal_code	string	ZIP code
address_lat	number	Latitude
address_lon	number	Longitude
county_name	string	County name
neighborhoods	string	Neighborhood names

Price & Market History

Field	Type	Description
last_sold_price	number	Previous sale price
last_sold_date	string	Previous sale date
is_new_construction	boolean	New construction flag
is_foreclosure	boolean	Foreclosure flag
is_pending	boolean	Pending sale flag
is_contingent	boolean	Contingent sale flag
property_history	object[]	Price and listing history events

Agent & Listing Office

Field	Type	Description
primary_agent_name	string	Listing agent name
primary_agent_email	string	Listing agent email
primary_agent_phone	string	Listing agent phone number
primary_office_name	string	Listing office name
source_name	string	MLS name
source_listing_id	string	MLS listing ID

Financial Estimates

Field	Type	Description
hoa_fee	number	Monthly HOA fee
mortgage_monthly_payment	number	Estimated monthly mortgage payment
estimates_current	object[]	Current automated property value estimates from multiple sources

Schools & Environmental Risk

Populated when includePropertyDetails is on.

Field	Type	Description
assigned_schools	object[]	Nearby schools with ratings, grades, and distance
local_flood_score	number	Flood risk score (1-10)
local_fire_score	number	Wildfire risk score (1-10)
local_heat_score	number	Heat risk score (1-10)
local_wind_score	number	Wind risk score (1-10)
local_air_score	number	Air quality risk score (1-10)

Each risk score also has a matching *_severity string field (e.g. local_flood_severity: "Minor").

Tips for Best Results

• Start small — set maxItems to 10-50 on your first run to verify the data matches your needs, then scale up.
• Use location search over URLs — typing "Austin, TX" or "78701" is easier and more reliable than constructing search URLs.
• Toggle details for speed vs. depth — turn off includePropertyDetails for faster runs when you only need basic listing data. Turn it on for schools, value estimates, price history, and environmental risk scores.
• Use recently_sold for comps — sold-price data is the gold standard for investment underwriting and CMA reports. Pair with a tight ZIP list for accurate comparables.
• Combine inputs — mix location searches, ZIP codes, and URLs in a single run.
• Filter by property type — narrow results to the type you need to avoid processing irrelevant listings.
• Pull agent contacts in bulk — for_sale listings always include primary_agent_email and primary_agent_phone when the brokerage publishes them, making this a one-shot lead list for target ZIPs.

Pricing

$3.50 per 1,000 results (search only) or $5.00 per 1,000 results (with full details).

Results	Search Only	With Full Details
100	$0.35	$0.50
1,000	$3.50	$5.00
10,000	$35.00	$50.00
100,000	$350.00	$500.00

A "result" is any property row in the output dataset. Platform fees (compute, storage) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Custom API integrations
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate real estate research, market analysis, and lead generation. Users are responsible for complying with applicable laws and Realtor.com's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose. Be mindful of fair housing regulations when using property and demographic data.