Real Estate Property Data Scraper

Pricing

$5.00/month + usage

Real Estate Property Data Scraper

Fetch real estate listings from multiple cities with ease. Filter by property type, status, sort order, and page count. Perfect for analysts, investors, or developers needing accurate, structured property data for research or automation.

Pricing

$5.00/month + usage

Rating

0.0

(0)

Developer

Zoro

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

🏡 Real Estate Property Data Scraper

Fetch real estate property listings from multiple cities effortlessly! This tool allows you to filter by property type, listing status, sort order, and page count. Perfect for analysts, enthusiasts, or developers looking to work with structured property data.

⚡ Features

Scrape listings for one or more cities.
Filter by property type: House, Condo, Townhome, Multi-Family, Mobile, Farm, Land, or Any.
Control listing status: For Sale, Sold, or All.
Sort listings by:
- Highest Price
- Lowest Price
- Newest
- Year Built
- Open Houses
- Price Reduced
- Largest Sqft
- Largest Lot
- Most Photos
Fetch multiple pages per city.
Get results as clean, structured JSON.

📝 Input JSON Schema

{
  "cities": ["Los Angeles"],
  "page_count": 1,
  "property_type": "ANY",
  "sort_option": "highest price",
  "status": "for_sale"
}

Fields

Field	Type	Description
`cities`	array	List of cities to fetch property listings from. Required
`page_count`	integer	Number of pages per city (default: 1)
`property_type`	string	Property type filter (default: ANY)
`sort_option`	string	Sorting option (default: highest price)
`status`	string	Listing status (default: for_sale)

🏷 Output Example

[
  {
    "city": "Los Angeles",
    "data": {
      "results": [
        {
          "property_id": "1046112528",
          "property_url": "https://example.com/property/1046112528",
          "status": "for_sale",
          "list_price": 190000000,
          "beds": 7,
          "baths": "20",
          "type": "single_family",
          "address": "10644 Bellagio Rd",
          "city": "Los Angeles",
          "state": "CA",
          "postal_code": "90077",
          "latitude": 34.080184,
          "longitude": -118.443899,
          "photo": "https://example.com/photo.jpg",
          "agent_name": "Jimmy Heckenberg",
          "agent_phone": "3106501116",
          "agent_email": "jimmy@example.com",
          "office_name": "Rodeo Realty",
          "list_date": "2025-10-10T16:15:35.000000Z"
        }
      ]
    }
  }
]

💡 Tips

Use multiple cities in the cities array for bulk scraping.
Stick to predefined sort_option values for accurate sorting.
Increase page_count to fetch more data per city.

🎉 Enjoy!

Seamlessly collect property data for analysis, market tracking, or personal projects.

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