Redfin Parser Spider

Introduction

The Redfin Parser Spider is a powerful Apify Actor designed to extract comprehensive property details from Redfin.com listings. It scrapes key information such as agent details, property descriptions, amenities, and high-resolution photos, providing structured data for real estate professionals, researchers, and businesses. This tool simplifies data collection, enabling efficient analysis of property markets without manual effort.

Features

• Comprehensive Data Extraction: Captures detailed listing information including agent and broker details, property remarks, MLS status, and full address components.
• Amenities and Photos: Extracts structured amenities data and a complete list of property photos with URLs and tags for visual analysis.
• High Performance: Built for speed and reliability, handling multiple URLs efficiently with minimal downtime.
• Structured JSON Output: Delivers clean, machine-readable data ideal for integration with databases, APIs, or analytics tools.
• Flexible Input: Accepts an array of Redfin URLs, allowing batch processing of multiple listings in a single run.
• Error-Resilient: Includes built-in handling for common scraping challenges like dynamic content or rate limits.
• Apify Integration: Seamlessly runs on the Apify platform with easy monitoring, logging, and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of valid Redfin property listing URLs to scrape. At least one URL is required.	["https://www.redfin.com/DC/Washington/24-Crittenden-St-NE-20011/home/10077687"]

Example Usage

To run the Redfin Parser Spider, provide input in JSON format:

{
  "Urls": [
    "https://www.redfin.com/DC/Washington/24-Crittenden-St-NE-20011/home/10077687"
  ]
}

Example output in JSON format:

[
  {
    "listing_id": 206211574,
    "agent_name": "Charles Yates",
    "broker_name": "EXIT Realty Enterprises",
    "broker_phone": "301-593-4811",
    "remarks": "Welcome to this beautifully maintained 2-bedroom, 2 full-bath townhouse nestled in the heart of Northeast Washington, DC. With 1440 square feet of comfortable living space, this home offers the perfect blend of urban convenience and modern charm. Step inside to find gleaming hardwood floors throughout, a spacious living area, and a well-appointed kitchen featuring a gas stove – perfect for home chefs. Both bedrooms are generously sized, and the two full bathrooms provide added comfort for guests or roommates. Enjoy the convenience of off-street parking, a rare find in the city, and a prime location just a 10-minute walk to the Fort Totten Metro Station, making commuting a breeze. Located minutes from downtown DC, shopping, dining, parks, and more – everything you need is right at your doorstep. Don’t miss this incredible opportunity to own in one of DC’s rapidly growing neighborhoods! ",
    "mls_status": "Closed",
    "mls_status_definition": "This home is sold and off the market.",
    "address": {
      "street_number": "24",
      "street_name": "Crittenden",
      "street_type": "St",
      "directional_suffix": "NE",
      "city": "Washington",
      "state": "DC",
      "postal_code": "20011",
      "country": "US"
    },
    "amenities": [
      {
        "header": "Style",
        "content": "Colonial"
      },
      {
        "header": "Community",
        "content": "Brookland"
      },
      {
        "header": "County",
        "content": "District of Columbia"
      },
      {
        "header": "MLS#",
        "content": "DCDC2214670"
      },
      {
        "header": "Built",
        "content": "1939"
      },
      {
        "header": "Lot Size",
        "content": "1,900 sq ft"
      },
      {
        "header": "Property Type",
        "content": "Townhome"
      },
      {
        "header": "Heating & cooling",
        "content": "Has A/C"
      },
      {
        "header": "Laundry",
        "content": "In-unit laundry (washer and dryer)"
      }
    ],
    "photos": [
      {
        "photo_id": "2967334101",
        "photo_url": "https://ssl.cdn-redfin.com/photo/235/bigphoto/670/DCDC2214670_37_2.jpg",
        "tags": [
          "All"
        ]
      }
      // ... (truncated for brevity; full output includes all photos)
    ]
  }
]

Use Cases

• Market Research: Analyze property trends, pricing, and amenities across neighborhoods for investment decisions.
• Competitive Intelligence: Monitor competitor listings and agent performance in specific markets.
• Price Monitoring: Track historical and current property values for appraisal or resale purposes.
• Content Aggregation: Build databases of real estate content for websites, apps, or marketing campaigns.
• Academic Research: Collect data for studies on urban development, housing markets, or socioeconomic factors.
• Business Automation: Automate lead generation by extracting contact details from listings for outreach.

Installation and Usage

1. Search for "Redfin 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 a JSON array of objects, each representing a scraped property listing. Key fields include:

• listing_id: Unique identifier for the listing.
• agent_name, broker_name, broker_phone: Contact details for the listing agent.
• remarks: Descriptive text about the property.
• mls_status and mls_status_definition: Current market status.
• address: Structured address components (street number, name, city, state, etc.).
• amenities: Array of key-value pairs for property features like style, built year, and lot size.
• photos: Array of photo objects with ID, URL, and tags (e.g., "Exterior", "Interior").

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!

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