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URL: https://apify.com/realtorscraper/realtor-recently-sold-properties

โ‡ฑ Realtor Recently Sold Properties ยท Apify


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$4.99/month + usage

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Realtor Recently Sold Properties

Scrape recently sold properties from Realtor.com effortlessly.

Pricing

$4.99/month + usage

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0.0

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๐Ÿ‘ Realtor Scraper

Realtor Scraper

Maintained by Community

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Monthly active users

5 months ago

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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:

{
"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:

[
{
"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

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