Realtor Sales History Scraper

The Industry's Source for Sold Property Data

Realtor Sales History Scraper empowers you to look back in time. Access comprehensive data on recently sold properties directly from Realtor.com to power comparable market analysis (CMA), appraisal automation, and historical trend tracking.

Whether you are a real estate appraiser, investor, or data analyst, this tool provides the granular transaction details you need to value properties with confidence.

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🏗️ Core Capabilities

• 📅 Historical Filtering: Target sales within the last 1, 2, 3, or 5 years.
• 🌍 Multi-Market Extraction: Scrape sold data from multiple cities or zip codes simultaneously.
• 🏠 Age-Based Filtering: Narrow down results by the year the property was built.
• 📸 Visual & Agent Data: Retrieve listing photos and selling agent details for every transaction.
• 🔢 Pagination Control: Deep dive into sales archives with adjustable page limits.

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⚙️ Input Configuration

Define your search scope with precision limits and filters.

Input Parameters

Parameter	Type	Default	Description
locations	array	Required	List of cities, zip codes, or neighborhoods (e.g., ["90210", "Miami, FL"]).
sold_within	string	any	Timeframe of sale: 1_year, 2_years, 3_years, 5_years, or any.
year_built_min	integer	null	Minimum year of construction.
year_built_max	integer	null	Maximum year of construction.
page	integer	1	Starting page number for pagination.
limit	integer	42	Max results per page (up to 200).

Example Scenarios

Finding Comparable Sales (Comps):

{
  "locations": ["Austin, TX"],
  "sold_within": "1_year",
  "year_built_min": 2015,
  "limit": 50
}

Historic Market Research:

{
  "locations": ["Seattle, WA", "Portland, OR"],
  "sold_within": "5_years",
  "page": 1,
  "limit": 100
}

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📦 Output Data Structure

Receive structured JSON objects containing all critical sales attributes.

[
  {
    "property_id": "9031012268",
    "status": "sold",
    "price": 2450000,
    "sold_price": 2450000,
    "sold_date": "2024-11-15",
    "address": {
      "line": "450 W 23rd St Apt C",
      "city": "New York City",
      "state": "NY",
      "postal_code": "10011",
      "coordinate": { "lat": 40.7470, "lon": -74.0034 }
    },
    "specs": {
      "beds": 2,
      "baths": 2,
      "sqft": 1250,
      "lot_sqft": null,
      "year_built": 1900,
      "type": "townhomes",
      "sub_type": "co_op"
    },
    "url": "https://www.realtor.com/realestateandhomes-detail/...",
    "photos": [
      "https://ap.rdcpix.com/d2a12a40...jpg"
    ],
    "agent": {
      "name": "Jane Doe",
      "office_name": "Premier Realty",
      "phone": "212-555-0199"
    }
  }
]

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🚀 Use Cases

• Automated Valuations: Feed AVM models with accurate, recent sales data.
• Appraisal Support: Quickly gather comps for subject properties.
• Market Intelligence: Track median sale price trends over 5-year periods.
• Investment Analysis: Identify flipping opportunities by analyzing purchase vs. sold prices.

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🔒 Reliability

• Source: Data is extracted directly from Realtor.com's public sold listings.
• Accuracy: Includes official sold prices and dates where reported.
• Efficiency: Optimized for high-volume data retrieval.

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