Compass Scraper

Overview

The Compass Scraper is an Apify actor that extracts structured property listing data from Compass.com. You provide one or more listing URLs, and it returns details like price, bedrooms, bathrooms, address, and school information in JSON format.

Key Features

• Scrapes detailed real estate data from Compass listing pages.
• Returns data in a structured JSON format for easy integration.
• Includes a 2-hour free trial for testing.
• Requires proxy configuration for reliable, uninterrupted operation.

How to Use

1. Run the actor on the Apify platform.
2. Configure the input as shown below.
3. The actor will process the provided URLs and output the scraped data into the dataset.

Input Configuration

Provide input to the actor in JSON format. The proxyConfiguration must be enabled.

{
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "urls": [
    "https://www.compass.com/listing/113-jefferson-drive-columbia-tn-38401/1721827764917827545/"
  ]
}

• proxyConfiguration: Set useApifyProxy to true. This is required.
• urls: An array of Compass property listing URLs you want to scrape.

Output

The actor outputs an array of JSON objects, one per scraped listing. Many fields may be null if the data is not present on the listing page.

Example Output:

[
  {
    "title": "113 Jefferson Drive, Columbia, TN, 38401",
    "price": null,
    "bedrooms": 4,
    "bathrooms": 5,
    "street_address": "113 Jefferson Drive",
    "city": "Columbia",
    "state": "TN",
    "zip_code": "38401",
    "property_status": "Canceled",
    "nearby_schools": [
      "R Howell Elementary School",
      "E. A. Cox Middle School",
      "Columbia Central High School"
    ]
  }
]

Output fields include: title, property_type, price, bedrooms, bathrooms, square_footage, lot_size, year_built, street_address, city, state, zip_code, neighborhood, parking_spaces, heating, cooling, HOA_fees, property_tax, image_urls, listing_agent_name, listing_agency_name, listing_agency_phone, listing_agent_email, listing_date, MLS_number, price_history, description, property_status, nearby_schools.