FSBO.com Real Estate Scraper - For Sale By Owner Data

Pricing

$15.00 / 1,000 results

FSBO.com Real Estate Scraper - For Sale By Owner Data

Scrape For Sale By Owner listings from FSBO.com. Extract property details, prices, photos, seller contact info, and location data. Supports state/city + filtering, price ranges, and property types. Includes AI lead scoring. Perfect for real estate investors and agents seeking off-market deals.

Pricing

$15.00 / 1,000 results

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ben

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Monthly active users

9 days ago

Last modified

FSBO.com Real Estate Scraper

Extract For Sale By Owner (FSBO) property listings from FSBO.com - the largest FSBO marketplace in the US with over 100,000 active listings.

Features

Search by Location: Filter by state, city, or browse all listings
Property Type Filtering: Houses, condos, land, multi-family, mobile homes, and more
Price Range Filters: Set minimum and maximum price limits
Comprehensive Data Extraction: Property details, photos, seller contact info, and more
AI-Powered Lead Scoring: Each listing gets a 0-100 quality score
Photo Extraction: Get all property photos with direct URLs
Pagination Support: Automatically scrapes multiple pages up to your limit

Output Data

Each listing includes:

Field	Description
`listing_id`	Unique FSBO listing identifier
`url`	Direct link to the listing
`title`	Property title/headline
`price`	Listing price in USD
`address`	Full property address
`city`, `state`, `zip_code`	Location details
`beds`	Number of bedrooms
`baths`	Number of bathrooms
`sqft`	Square footage
`lot_size`	Lot size
`year_built`	Year the property was built
`property_type`	Type of property
`description`	Full listing description
`photos`	Array of photo URLs
`seller_name`	Seller's name
`seller_phone`	Seller's phone number
`lead_score`	AI quality score (0-100)
`scraped_at`	Timestamp of data extraction

Use Cases

Real Estate Investors: Find off-market FSBO deals before they hit MLS
Wholesalers: Source motivated seller leads directly
Real Estate Agents: Prospect FSBO sellers for listing appointments
Market Research: Analyze FSBO pricing trends by location
Property Flippers: Discover undervalued properties
Data Aggregators: Build comprehensive real estate databases

Lead Scoring Algorithm

Each listing receives an AI-generated lead score (0-100) based on:

Price Point (25 pts): Higher-value properties score better
Photo Quality (25 pts): More photos = more serious seller
Description Quality (20 pts): Detailed descriptions indicate motivated sellers
Contact Info (20 pts): Complete contact info = ready to sell
Property Details (10 pts): Complete specs show seller commitment

Example Output

{
  "source": "fsbo.com",
  "listing_id": "544162",
  "url": "https://www.fsbo.com/listing/544162",
  "title": "Beautiful 5BR Home in Miami",
  "price": 450000,
  "address": "123 Palm Beach Rd",
  "city": "Miami",
  "state": "FL",
  "zip_code": "33101",
  "beds": 5,
  "baths": 3.5,
  "sqft": 2800,
  "property_type": "Single Family",
  "description": "Stunning waterfront property...",
  "photos": ["https://fsbo.com/photos/...", ...],
  "seller_name": "John Smith",
  "seller_phone": "(305) 555-1234",
  "lead_score": 85,
  "scraped_at": "2025-12-10T12:00:00.000Z"
}

Input Parameters

Parameter	Type	Description
`location`	string	State code (e.g., "florida", "texas", "california")
`city`	string	Optional city name to narrow search
`propertyType`	string	Filter by property type
`minPrice`	integer	Minimum listing price
`maxPrice`	integer	Maximum listing price
`minBeds`	integer	Minimum bedrooms
`maxListings`	integer	Maximum listings to scrape (default: 100)
`includePhotos`	boolean	Extract photo URLs (default: true)

Integrations

Export your data to:

JSON, CSV, Excel
Google Sheets
Webhooks
API endpoints
Zapier, Make, n8n

Legal & Compliance

This scraper extracts publicly available data from FSBO.com. Users are responsible for ensuring their use complies with applicable laws and FSBO.com's terms of service. The data is intended for legitimate business purposes such as market research and lead generation.

Support

Having issues? Contact the developer or open a support ticket on Apify.

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