Realtor Recently Sold Properties

Realtor Recently Sold Properties

by realtorscraper

Scrape recently sold properties from Realtor.com effortlessly.

99 runs
60 users
Try This Actor

Opens on Apify.com

About Realtor Recently Sold Properties

Scrape recently sold properties from Realtor.com effortlessly.

What does this actor do?

Realtor Recently Sold 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

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Realtor Recently Sold Properties Scrape recently sold properties from Realtor.com effortlessly. --- ## Overview This actor allows you to fetch recently sold properties from Realtor.com based on specific locations, page number, results limit, year built filters, and the timeframe within which the property was sold. The output includes comprehensive property details including price, address, coordinates, property type, year built, photos, and agent information. --- ## Input Schema - locations: Array of locations to search. Examples: ['New York, NY', 'Los Angeles, CA', '90210'] - page: Page number to fetch (default: 1) - limit: Number of results per page (default: 42, max: 200) - year_built_min: Filter properties built after this year (optional) - year_built_max: Filter properties built before this year (optional) - sold_within: Filter properties sold within a timeframe. Options: any, 1_year, 2_years, 3_years, 5_years. Example Input JSON: json { "limit": 42, "locations": ["New York, NY"], "page": 1, "sold_within": "1_year", "year_built_min": 1800, "year_built_max": 1800 } --- ## Output The output is a JSON array of property objects containing: - property_id and listing_id - property_url - address with line, city, state, postal_code, and coordinates - price, sold_price, sold_date, year_built - beds, baths, sqft, lot_sqft - property_type and sub_type - agent details (name, email, phone, office_name) - photos (array of URLs) - status (e.g., sold) Example Output: json [ { "property_id": "9031012268", "listing_id": "2929571213", "property_url": "https://www.realtor.com/realestateandhomes-detail/450-W-23rd-St-Apt-C_New-York_NY_10011_M90310-12268", "address": { "line": "450 W 23rd St Apt C", "city": "New York City", "state": "NY", "postal_code": "10011", "coordinate": {"lat": 40.747075, "lon": -74.003436} }, "price": 2450000, "year_built": 1800, "beds": 2, "property_type": "townhomes", "sub_type": "co_op", "agent": {"name": null, "email": null, "phone": null, "office_name": null}, "photos": ["https://ap.rdcpix.com/d2a12a40a3a690bf483d2969dd7c39adl-m3252629299s.jpg"], "status": "sold" } ] --- ## Key Features - Fetch multiple locations at once. - Paginated results. - Filter by year built and sold timeframe. - Returns detailed property information including agent and photos. - Clean JSON output ready for integration. --- ## Use Cases - Real estate analytics - Market research - Investment property scouting - Data aggregation for dashboards ---

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

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Actor Information

Developer
realtorscraper
Pricing
Paid
Total Runs
99
Active Users
60
Apify Platform

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