RealtyTrac Property Scraper: Extract Real Estate Data at Scale

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What Is RealtyTrac?

RealtyTrac is one of the largest online real estate data platforms, offering detailed property information, tax assessments, and market intelligence across millions of U.S. residential and commercial properties. The platform aggregates data from public records, MLS feeds, and property databases, making it essential for investors, real estate professionals, and researchers. However, manually collecting property data from RealtyTrac is inefficient at scale — the RealtyTrac Property Scraper automates this workflow, extracting structured records directly from search results pages.

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Overview

The RealtyTrac Property Scraper extracts detailed property information from RealtyTrac search results, converting listings into clean, structured records with 22 key fields. It is ideal for:

• Real estate investors building lead lists and market datasets
• Property aggregators feeding property data into third-party platforms
• Market researchers analyzing regional property trends and valuations
• Wholesalers identifying off-market opportunities and distressed properties
• Data analysts building real estate intelligence dashboards

The scraper supports geographic targeting via latitude/longitude or ZIP code search, configurable item limits, and robust error handling for large-scale collection runs.

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Input Format

The scraper accepts a JSON configuration specifying target URLs and collection parameters:

{
  "urls": [
    "https://www.realtytrac.com/california-city-ca/?lat=35.110455861764876&lng=-117.97103600000001&zoom=13.57159423828125&zipcode=93505"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Field	Type	Description
urls	array	RealtyTrac property search result URLs. Support geographic, ZIP code, and custom filtered searches
max_items_per_url	integer	Maximum properties to extract per URL (e.g., 200). Higher values capture more results but may extend runtime
ignore_url_failures	boolean	If true, continues running even if individual URLs fail; if false, stops the entire run on first error

Pro tip: RealtyTrac URLs encode location data (latitude, longitude, zoom level, ZIP) in the query string. Copy full URLs directly from the browser's address bar to preserve geographic targeting.

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Output Format

Example output record:

{
  "id": "223311318",
  "type": "SFR",
  "street": "Hacienda",
  "suffix": "Ave",
  "addr": "16716 Hacienda Ave",
  "full_addr": "16716 Hacienda Ave, California City, CA 93505",
  "city": "California City",
  "state": "CA",
  "county": "Kern",
  "zip": "93505",
  "beds": 3,
  "baths": 2,
  "sqft": 2280,
  "lot_sqft": 111514,
  "value": 525000,
  "listed_on": null,
  "status": {
    "pre_foreclosure": true,
    "roi": 5.0258365
  },
  "status_date": 1784592000000,
  "lastupdate_date": 1782950400000,
  "bing_photo_url": "https://dudtfne5hk5fn.cloudfront.net/property-card-fallback_SRPD.webp",
  "image_url": "https://dudtfne5hk5fn.cloudfront.net/property-card-fallback_SRPD.webp",
  "coord": {
    "lat": 35.068752,
    "lon": -117.952425
  },
  "recently_sold_price": 540000,
  "from_url": "https://www.realtytrac.com/california-city-ca/?lat=35.110455861764876&lng=-117.97103600000001&zoom=13.57159423828125&zipcode=93505"
}

Each scraped property returns 22 structured fields:

Property Identification & Address

Field	Meaning
ID	Unique RealtyTrac property identifier
Type	Property type (residential, commercial, land, etc.)
Street	Street name (e.g., "Main")
Suffix	Street suffix (e.g., "St", "Ave", "Rd")
Address	Full street address without city/state
Full Address	Complete address with city, state, ZIP
City	City name
State	State abbreviation (e.g., "CA")
County	County name
ZIP	ZIP code

Property Features

Field	Meaning
Beds	Number of bedrooms
Baths	Number of bathrooms
Square Feet	Interior living area (sq ft)
Lot Square Feet	Total lot size (sq ft)

Valuation & Market Status

Field	Meaning
Value	Current assessed value or estimated property value
Recently Sold Price	Last sale price (if property recently sold)
Listed On	Date property was listed for sale
Status	Current market status (e.g., Active, Sold, Pending, Withdrawn)
Status Date	Date of the last status change
Last Update Date	Most recent data update timestamp

Images & Location

Field	Meaning
Bing Photo URL	Aerial/map view image from Bing Maps
Image URL	Property photo or listing image URL
Coordinates	Latitude and longitude (geocoordinates) for map integration

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How to Use

1. Build search URLs — Navigate to RealtyTrac.com, apply filters (location, property type, price range), and copy the resulting search page URL from your browser.
2. Format input — Paste URLs into the urls array. Start with max_items_per_url: 50-100 for test runs.
3. Configure collection — Set ignore_url_failures: true for large batches to prevent interruptions.
4. Run the scraper — Execute the actor and monitor progress in the run log.
5. Export & process — Download results as JSON or CSV; import into Excel, Python, or your CRM for analysis.

Best practices:

• Use narrow geographic filters (ZIP code or city) to focus collection and reduce runtime.
• Enable ignore_url_failures when scraping 10+ URLs simultaneously.
• Check Recently Sold Price and Last Update Date to identify stale listings.
• Cross-reference Coordinates with mapping tools for neighborhood analysis.

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Use Cases & Business Value

• Investment analysis: Build databases of properties matching investment criteria (price range, beds, lot size) in target markets
• Market intelligence: Track price trends, days on market, and supply by analyzing historical snapshots
• Lead generation: Identify active or recently sold properties for direct mail, cold calling, or networking
• Property aggregation: Feed RealtyTrac data into internal platforms, MLS integrations, or mobile apps
• Comparative market analysis (CMA): Collect comps for property valuation without manual research

The RealtyTrac Property Scraper accelerates workflows that would otherwise require hours of manual clicking, enabling data-driven decisions and competitive advantages in real estate operations.

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Conclusion

The RealtyTrac Property Scraper transforms property search data into actionable intelligence. With 22 fields per record and flexible URL targeting, it supports investors, wholesalers, researchers, and developers in scaling their real estate operations. Extract property data reliably and integrate it into your analytics pipeline or business workflow.