Homes Scraper - Apify Actor

Overview

This Apify Actor scrapes real estate listings from Homes.com. It extracts structured property data—including prices, addresses, images, and specifications—for use in market analysis, investment research, and lead generation.

Key Features

• Scrapes property listings based on location, price filters, and limits.
• Returns clean, structured JSON data.
• Uses Apify Proxy by default to manage requests.
• Outputs common property fields: price, bedrooms, bathrooms, square footage, address, and listing URL.

Input Parameters

Configure the scraper by providing a JSON input object. Only the query field is required.

{
  "query": "Cedar Hill, MO/all-inventory/",
  "price_min": 1000,
  "price_max": 510000,
  "price_step": 10000,
  "item_limit": 50,
  "max_limit": 100,
  "proxyConfiguration": { "useApifyProxy": true }
}

• query (string, required): The location or category path from Homes.com to scrape.
• price_min / price_max / price_step (integer, optional): Filters to narrow results by price range.
• item_limit (integer, optional): Target number of listings to retrieve.
• max_limit (integer, optional): Hard cap on the total number of listings.
• proxyConfiguration (object, optional): Proxy settings. The default useApifyProxy: true is recommended.

Output Format

The Actor outputs an array of JSON objects, one per property. Each object contains fields like:

{
  "crawl_date": "2025-03-20 17:34:00",
  "source_name": "homes",
  "product_url": "https://www.homes.com/property/...",
  "title": "1620 N San Fernando Blvd Unit 53, Burbank, CA 91504",
  "price": 499000,
  "price_currency": "USD",
  "listing_type": "SingleFamilyResidence",
  "bedrooms": 2,
  "bathrooms": 1,
  "floorSize": { "value": 820.0, "unitCode": "FTK" },
  "address_type": {
    "streetAddress": "1620 N San Fernando Blvd Unit 53",
    "addressLocality": "Burbank",
    "addressRegion": "CA",
    "postalCode": "91504"
  }
}

Key output fields include product_url, title, price, bedrooms, bathrooms, floorSize, and the structured address_type.

How to Use

1. Run the Actor: On the Apify platform, run the Homes Scraper Actor and provide your input configuration.
2. Monitor Progress: Check the run's logs and status in the Apify console.
3. Get Results: Once finished, download the dataset in JSON, CSV, or Excel format via the console.

Use Cases

• Market Analysis: Track listing prices and inventory trends.
• Lead Generation: Source potential property leads for agents.
• Investment Research: Identify opportunities based on location and price data.

Support

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* Email: support@getdataforme.com
* Web: Contact Us
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