Realtor Urls Parser Spider

Introduction

The Realtor Urls Parser Spider is a powerful Apify Actor designed to extract detailed property information from Realtor.com URLs. It efficiently scrapes and parses real estate listings, providing structured data on properties, locations, agents, and more. This tool is ideal for real estate professionals, analysts, and businesses needing reliable, automated data extraction from Realtor.com.

Features

• Comprehensive Data Extraction: Captures key property details including price, bedrooms, bathrooms, area, year built, and location coordinates.
• Agent Information: Retrieves agent details such as name, phone, email, and ID for lead generation.
• Image and Feature Parsing: Extracts property images and features like square footage, property age, and structure type.
• High Reliability: Built with robust error handling to ensure consistent data quality from dynamic web pages.
• Fast and Scalable: Processes multiple URLs efficiently, supporting batch operations for large-scale scraping.
• Structured Output: Delivers clean JSON data, easily integrable with databases or analytics tools.
• Apify Integration: Seamlessly runs on the Apify platform with monitoring and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	string	No	A list of Realtor.com URLs to scrape for property data. Must be valid HTTP/HTTPS URLs.	["https://www.realtor.com/realestateandhomes-detail/S-Highway-281-Lot-4_Alice_TX_78332_M96843-01847?from=srp-list-card"]

Example Usage

Input JSON

{
  "Urls": [
    "https://www.realtor.com/realestateandhomes-detail/S-Highway-281-Lot-4_Alice_TX_78332_M96843-01847?from=srp-list-card"
  ]
}

Output JSON

[
  {
    "properties": {
      "id": "9311885307",
      "basic": {
        "title": "Sold - Sep 30, 2025",
        "type": "Multi Family",
        "status": null,
        "price": 1650000,
        "description": "Still Available! 3830-3836 is a four-unit property in the heart of Noe Valley, Recently reduced. Each unit features open layouts, period details, and hardwood floors.The building provides shared laundry and strong rental income potential, close to 24th Street shops, coffee shops, and transit."
      },
      "details": {
        "bedrooms": 6,
        "bathrooms": 4,
        "area": {
          "size": 4088,
          "unit": "sq_ft"
        },
        "yearBuilt": 1906
      },
      "location": {
        "address": "3830-3836 23rd St",
        "city": "San Francisco",
        "state": "California",
        "zipCode": "94114",
        "coordinates": {
          "lat": 37.753391,
          "lng": -122.42836
        }
      },
      "features": [
        "Total Square Feet Living: 4088",
        "Year Built: 1906",
        "Levels: Four",
        "Property Age: 119",
        "Property Condition: Updated/Remodeled, Original",
        "Structure Type: Apartments"
      ],
      "images": [
        {
          "url": "https://ap.rdcpix.com/d362ebc473da251789cd8a96c446cb7fl-m3204473696s.jpg",
          "type": "main"
        }
      ],
      "agent": {
        "id": "4331976",
        "name": "Reese Forbes",
        "phone": "4157690615",
        "email": "reese.forbes@cbrealty.com"
      }
    },
    "actor_id": "E6DwyFBM24hj7ahs4",
    "run_id": "azkk7I34UUJ6jMN9F"
  }
]

Use Cases

• Market Research and Analysis: Analyze property trends, pricing, and features across regions for investment decisions.
• Competitive Intelligence: Monitor competitor listings and agent activities in specific markets.
• Price Monitoring: Track property values and sales data for real-time alerts on market changes.
• Content Aggregation: Build databases of real estate content for websites, apps, or reports.
• Academic Research: Gather data for studies on housing markets, urban development, or economic indicators.
• Business Automation: Automate lead generation by extracting agent contacts for outreach campaigns.

Installation and Usage

1. Search for "Realtor Urls 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 Actor outputs an array of JSON objects, each representing a scraped property. Key fields include:

• properties.id: Unique property identifier.
• properties.basic: Core details like title, type, price, and description.
• properties.details: Bedrooms, bathrooms, area, and year built.
• properties.location: Address, city, state, zip, and coordinates.
• properties.features: List of property attributes.
• properties.images: Array of image URLs with types.
• properties.agent: Agent ID, name, phone, and email.
• actor_id and run_id: Metadata for tracking the extraction run.

Data is structured for easy parsing and integration.

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!