Realtor.com Scraper
Pricing
from $0.80 / 1,000 results
Realtor.com Scraper
[π° $0.8 / 1K] Extract property listings from Realtor.com. Get prices, addresses, photos, schools, tax history, value estimates, agent contact info, and more for sale, rent, or sold properties.
Pricing
from $0.80 / 1,000 results
Rating
0.0
(0)
Developer
SolidCode
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Extract property listings from Realtor.com at scale. Get prices, addresses, property details, photos, school ratings, value estimates, agent contact info, environmental risk scores, and 60+ data fields for sale, rent, or recently sold properties across the United States.
Why This Scraper?
- 60+ data fields per property - Prices, addresses, beds/baths/sqft, photos, schools, value estimates, mortgage estimates, HOA fees, environmental risks, agent contact info, and more
- Search by location or URL - Just type "Austin, TX" or paste any Realtor.com URL - no need to manually build search links
- For sale, for rent, and recently sold - One scraper covers all three listing types with a simple dropdown
- Property type filters - Narrow results to single family, condos, townhomes, multi-family, land, mobile homes, or farms
- Full detail enrichment - Toggle between fast search-only results or rich detail data with schools, price history, and value estimates
- Automatic deduplication - No duplicate properties, even when searching overlapping areas
- Works with datacenter proxies - Keeps costs low compared to scrapers that require residential proxies
Use Cases
Real Estate Investment & Analysis
- Compare asking prices to estimated values 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 property inventory by city, state, or ZIP code
- Compare property types (single family vs. condos) across markets
- Track new construction activity in growth areas
- Identify foreclosure and price-reduced opportunities
Lead Generation
- Build lists of property listings with agent names, emails, and phone numbers
- 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 type 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
Each result contains up to 60+ structured fields. Here's an example with full details enabled:
{"property_id": "9797030113","listing_id": "2960741997","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": "Texas","address_state_code": "TX","address_postal_code": "78704","address_country": "US","address_lat": 30.2432,"address_lon": -97.7654,"county_name": "Travis","neighborhoods": "Zilker","beds": 3,"baths_full": 2,"baths_half": 1,"baths_consolidated": "2.5","sqft": 1665,"lot_sqft": 6500,"stories": 2,"garage": 1,"year_built": 1972,"property_type": "single_family","description_text": "Charming updated home in the heart of Zilker with open floor plan...","tags": ["central_air", "central_heat", "hardwood_floors", "updated_kitchen"],"source_name": "Austin Board of REALTORS","source_listing_id": "ACT-123456","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 School","distance_in_miles": 0.4,"rating": 8,"funding_type": "public","grades": ["K", "1", "2", "3", "4", "5"]}],"property_history": [{"date": "2019-06-15","event_name": "Sold","price": 420000,"source_name": "Austin Board of REALTORS"}],"local_flood_score": 2,"local_flood_severity": "Minor","local_fire_score": 1,"local_fire_severity": "Minimal","estimates_current": [{"source": { "name": "Quantarium", "type": "quantarium" },"estimate": 589000,"estimate_high": 618000,"estimate_low": 560000}],"photo_urls": ["https://ap.rdcpix.com/example1.jpg","https://ap.rdcpix.com/example2.jpg"],"is_new_construction": false,"is_foreclosure": false,"scraped_at": "2026-04-16T14:30:00Z"}
All Available Fields
| Field | Type | Description |
|---|---|---|
property_id | string | Unique property identifier |
listing_id | string | Listing instance ID |
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 |
list_price_min | number | Minimum price (for price ranges) |
list_price_max | number | Maximum price (for price ranges) |
price_per_sqft | number | Price per square foot |
last_sold_price | number | Previous sale price |
last_sold_date | string | Previous sale date |
last_price_change_amount | number | Amount of last price change |
days_on_market | number | Days actively listed |
list_date | string | Date listed |
photo_count | number | Number of listing photos |
address_line | string | Full street address |
address_unit | string | Unit or apartment number |
address_city | string | City |
address_state | string | Full state name |
address_state_code | string | Two-letter state code |
address_postal_code | string | ZIP code |
address_country | string | Country |
address_lat | number | Latitude |
address_lon | number | Longitude |
county_name | string | County name |
county_fips | string | County FIPS code |
neighborhoods | string | Neighborhood names |
beds | number | Number of bedrooms |
baths_full | number | Full bathrooms |
baths_half | number | Half bathrooms |
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 |
stories | number | Number of stories |
garage | number | Garage spaces |
pool | string | Pool indicator |
year_built | number | Year constructed |
property_type | string | Property type (single_family, condos, townhomes, etc.) |
property_sub_type | string | Sub-type classification |
description_text | string | Full listing description |
tags | string[] | Amenity and feature tags |
details | object | Detailed MLS feature categories |
source_name | string | MLS name |
source_type | string | Source type |
source_listing_id | string | MLS listing ID |
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 |
advertisers | object[] | All agents with contact details |
hoa_fee | number | Monthly HOA fee |
mortgage_monthly_payment | number | Estimated monthly mortgage payment |
assigned_schools | object[] | Nearby schools with ratings and distance |
property_history | object[] | Price and listing history events |
local_flood_score | number | Flood risk score (1-10) |
local_flood_severity | string | Flood risk description |
local_fire_score | number | Wildfire risk score (1-10) |
local_fire_severity | string | Wildfire risk description |
local_heat_score | number | Heat risk score (1-10) |
local_heat_severity | string | Heat risk description |
local_wind_score | number | Wind risk score (1-10) |
local_wind_severity | string | Wind risk description |
local_air_score | number | Air quality risk score (1-10) |
local_air_severity | string | Air quality risk description |
estimates_current | object[] | Current automated property value estimates |
photo_urls | string[] | All listing photo URLs |
is_new_construction | boolean | New construction flag |
is_foreclosure | boolean | Foreclosure flag |
is_pending | boolean | Pending sale flag |
is_contingent | boolean | Contingent sale flag |
scraped_at | string | ISO timestamp of data extraction |
Tips for Best Results
- Start small - Set
maxItemsto 10-50 for 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 "Include Full Property Details" for faster runs when you only need basic listing data (price, address, beds/baths). Turn it on for schools, value estimates, price history, and environmental risks
- Combine inputs - You can mix location searches, ZIP codes, and URLs in a single run
- Filter by property type - Narrow results to the property type you need to avoid processing irrelevant listings
Pricing
~$3.50 per 1,000 results (search-only) or ~$5.00 per 1,000 results (with full details) - competitive with other Realtor.com data tools on Apify.
| Results | Search Only | With Full Details |
|---|---|---|
| 100 | ~$0.35 | ~$0.50 |
| 1,000 | ~$3.50 | ~$5.00 |
| 10,000 | ~$35.00 | ~$50.00 |
Platform fees (compute, proxy, storage) are additional and depend on your Apify plan. This scraper works with datacenter proxies, keeping costs lower than scrapers that require residential proxies.
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.