Realtyrac Parser Spider

Introduction

The Realtyrac Parser Spider is designed to efficiently extract detailed property information from RealtyTrac listings. This actor is ideal for users seeking comprehensive real estate data for market analysis, competitive intelligence, and business automation.

Features

• Comprehensive Data Extraction: Retrieves detailed property information including price, type, size, and historical data.
• High Data Quality: Ensures accurate and up-to-date information from RealtyTrac.
• Performance Efficiency: Optimized for fast and reliable data scraping.
• Customizable Inputs: Easily configure URLs for targeted data extraction.
• Versatile Output Formats: Export data in JSON, CSV, or Excel formats.
• User-Friendly Interface: Simple setup and monitoring via the Apify platform.
• Scalable Solution: Suitable for both small-scale and large-scale data needs.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	Array	Yes	List of URLs to scrape from RealtyTrac.	["https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/"]

Example Usage

Example Input JSON

{
  "Urls": [
    "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/"
  ]
}

Example Output JSON

[
  {
    "URL": "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/",
    "source": "realtytrac",
    "property_id": "25287085",
    "listing_url": "https://www.era.com/property/detail/ca/california-city/10632-aspen-ave/lid-P00800000GzJSb39NzitWZWPkYjKipr7NKrdKAM3",
    "title": "10632 Aspen Ave, California City, CA 93505 | RealtyTrac",
    "property_type": "Single Family Residence",
    "price": 285000,
    "bedrooms": 4,
    "bathrooms": 2,
    "square_footage": 1618,
    "lot_size": 10018,
    "year_built": 1989,
    "street_address": "10632 ASPEN AVE",
    "city": "CALIFORNIA CITY",
    "state": "California",
    "zip_code": "93505",
    "county": "Kern",
    "neighborhood": "2226",
    "parking_spaces": null,
    "parking_type": null,
    "heating": "Yes",
    "cooling": "Package",
    "num_stories": 1,
    "has_fireplace": true,
    "has_pool": false,
    "property_tax": 3206.43,
    "tax_assessed_value": 250000,
    "price_per_sqft": 186.14,
    "image_urls": [
      {
        "desktop": "http://maps.googleapis.com/maps/api/streetview?size=640x480&return_error_code=true&sensor=false&client=gme-nationsinfocorp1&location=10632+ASPEN+AVE%2CCALIFORNIA+CITY%2CCA%2C93505&signature=n1ze4jor-my4YOFT0QGYtTQjR-g"
      }
    ],
    "bing_photo_url": "https://dudtfne5hk5fn.cloudfront.net/null",
    "listing_date": "2025-08-27",
    "last_updated_date": "2026-04-21",
    "property_status": {
      "listedForSale": true,
      "isNew": false,
      "offMarketLast6mo": false
    },
    "occupancy_status": "Owner Occupied",
    "parcel_number": "210-193-05-00-3",
    "latitude": 35.124698,
    "longitude": -117.938467,
    "sale_history": [
      {
        "recordingDate": 1761868800000,
        "status": "Sold",
        "amount": 304000,
        "buildingSquarefeet": 1618,
        "pricePerSqFt": 188
      },
      {
        "recordingDate": 1749427200000,
        "status": "Sold",
        "amount": 182500,
        "buildingSquarefeet": 1618,
        "pricePerSqFt": 113
      }
    ],
    "tax_history": [
      {
        "year": 2020,
        "taxAmount": 1661.47,
        "landAmount": 10075,
        "improvementAmount": 117376,
        "assessment": 127451
      },
      {
        "year": 2019,
        "taxAmount": 1658.42,
        "landAmount": 9878,
        "improvementAmount": 115075,
        "assessment": 124953
      },
      {
        "year": 2018,
        "taxAmount": 1564.96,
        "landAmount": 5000,
        "improvementAmount": 112000,
        "assessment": 117000
      },
      {
        "year": 2017,
        "taxAmount": 1421.88,
        "landAmount": 5000,
        "improvementAmount": 95000,
        "assessment": 100000
      },
      {
        "year": 2016,
        "taxAmount": 1146.24,
        "landAmount": 5000,
        "improvementAmount": 79000,
        "assessment": 84000
      },
      {
        "year": 2015,
        "taxAmount": 1079.51,
        "landAmount": 19000,
        "improvementAmount": 58000,
        "assessment": 77000
      },
      {
        "year": 2014,
        "taxAmount": 863.68,
        "landAmount": 5000,
        "improvementAmount": 55000,
        "assessment": 60000
      },
      {
        "year": 2013,
        "taxAmount": 646.84,
        "landAmount": 3000,
        "improvementAmount": 38300,
        "assessment": 41300
      },
      {
        "year": 2012,
        "taxAmount": 622.05,
        "landAmount": 6000,
        "improvementAmount": 30400,
        "assessment": 36400
      }
    ],
    "estimated_rental": 2174,
    "rental_range_min": 1906,
    "rental_range_max": 2737,
    "owner_name": "VICTOR HUGO CHAVEZ JR",
    "owner_type": "COMPANY",
    "years_owned": 0.47,
    "actor_id": "kZaREmcMgZTOuIyi7",
    "run_id": "w5kQWoxSiUls89hQo"
  }
]

Use Cases

• Market Research and Analysis: Gather comprehensive data for real estate market trends.
• Competitive Intelligence: Monitor competitor property listings and pricing strategies.
• Price Monitoring: Track property price changes over time.
• Content Aggregation: Compile real estate data for content creation.
• Academic Research: Analyze property data for academic studies.
• Business Automation: Automate data collection for real estate businesses.

Installation and Usage

1. Search for "Realtyrac Parser Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The output is a JSON array containing detailed property information such as URL, property type, price, bedrooms, bathrooms, square footage, lot size, and historical data. Key fields include property_id, listing_url, price, bedrooms, bathrooms, and sale_history.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!