Homes.com Scraper

Scrape Homes.com property listings to extract detailed property data including address, price, beds, baths, square footage, lot size, year built, agent info, and MLS numbers. Ideal for real estate market research and property comparisons.

Features

• Extract comprehensive property listing data from Homes.com
• Multi-location search capability in a single run
• Collect MLS numbers for cross-referencing with other platforms
• Property details including square footage, lot size, and year built
• Agent and brokerage information extraction
• Configurable result limits and proxy settings
• Automatic pagination for complete data collection

How It Works

The actor uses browser automation to navigate Homes.com search results for each specified location. It extracts property listing cards with all available details including pricing, specifications, and agent information. The scraper handles dynamic page loading and follows pagination links automatically.

Input Configuration

Parameter	Type	Default	Description
locations	array	["Frisco, TX", "McKinney, TX"]	Locations in city, state format
maxResults	integer	300	Maximum listings to collect
useResidentialProxy	boolean	false	Use residential proxy for better access

Output Format

Each listing produces a dataset entry with:

• address - Full property address
• price - Listed price
• beds - Number of bedrooms
• baths - Number of bathrooms
• sqft - Square footage
• lotSize - Lot size description
• yearBuilt - Year the property was built
• agent - Listing agent or brokerage
• mlsNumber - MLS listing identifier

Use Cases

• Property Comparison: Compare listings across multiple cities and neighborhoods
• Market Analysis: Track housing prices and inventory levels in target markets
• MLS Cross-Reference: Use MLS numbers to match listings across platforms
• Investment Research: Find investment properties matching specific criteria
• Relocation Planning: Research housing options in potential new cities

API Integration

Integrate with the Apify API to run this scraper programmatically. Schedule regular runs to track market changes and build comprehensive property databases.

Pricing

This actor uses pay-per-event pricing. Each scraped listing counts as one event. Visit the Apify platform for current pricing information.