Realtor Foreclosure Properties
by realtorscraper
Extract ready-to-build properties from Realtor.com by location. Get detailed property information including price, address, photos, agent details, and...
Opens on Apify.com
About Realtor Foreclosure Properties
Extract ready-to-build properties from Realtor.com by location. Get detailed property information including price, address, photos, agent details, and MLS data for new construction opportunities across multiple locations.
What does this actor do?
Realtor Foreclosure Properties is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Realtor Foreclosure Property This Apify actor scrapes ready-to-build properties from Realtor.com based on specified locations. ## Input The actor expects a JSON input following this schema: json { "locations": [ "Florida" ], "page_count": 1 } ### Input Schema - locations (array of strings) - List of locations to search (e.g., ["Florida", "California", "San Diego, CA"]). Required. - page_count (integer) - Number of pages to fetch per location (42 properties per page). Default: 1 Minimum: 1 Maximum: 10 ## Example Input json { "locations": ["Florida"], "page_count": 1 } ## Output The actor returns an array of property objects with the following fields: - property_id (string) - Unique property identifier. - property_url (string) - URL of the property on Realtor.com. - address (object) - line, street, city, state, postal_code - coordinate (lat, lon) - price (number) - Listing price. - beds (integer) - baths (integer) - sqft (integer) - lot_sqft (integer) - property_type (string) - agent (object) - Agent information (name, email, phone, office_name). - photos (array) - URLs of property photos. - status (string) - Property status (e.g., ready_to_build). - _metadata (object) - Input metadata (location, page_count). ### Example Output json [ { "property_id": "417000992754", "property_url": "https://www.realtor.com/realestateandhomes-detail/Capri_Marion-County-New-Homes_1510-SW-17th-Street-Suite-302_Ocala_FL_34471_P417000992754", "address": { "line": "1510 SW 17th Street Suite 302", "city": "Ocala", "state": "FL", "postal_code": "34471", "coordinate": {"lat": 29.170533, "lon": -82.15261} }, "price": 179000, "beds": 3, "sqft": 1559, "property_type": "single_family", "agent": {"name": "Marion County New Homes"}, "photos": [ "https://nh.rdcpix.com/17ae13783c7b124085b18e1e21469cd5e-f3133134370s.jpg" ], "status": "ready_to_build", "_metadata": {"location": "Florida", "page_count": 1} } ] ## Notes - Each page contains 42 properties. - Maximum pages per location: 10. - Fields like sold_price, year_built, baths, etc., may be null if not available.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Realtor Foreclosure Properties now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- realtorscraper
- Pricing
- Paid
- Total Runs
- 138
- Active Users
- 68
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