Homes.com Scraper
Extract comprehensive real estate listings from Homes.com with property details, pricing, and neighborhood information. Access millions of residential and commercial properties across the United States in real-time.
Our Homes.com scraping API delivers structured property data including photos, virtual tours, school ratings, and market trends. Monitor price changes, new listings, and property availability with automated data collection.
Perfect for real estate professionals, investors, and market analysts who need reliable property data at scale. Get instant access to listing updates, agent information, and detailed property specifications.
- 97.36% success rate (see success rate graph)
- Real-time property pricing, square footage, and bedroom/bathroom counts
- Neighborhood demographics, school ratings, and walk scores
- High-resolution property photos and virtual tour availability
- Agent contact information and listing history
- Property tax records and HOA fee details
Homes.com Scraper API Use Cases
Real Estate Investment Analysis
Compare property values across different neighborhoods to identify undervalued investments. Track price trends and rental yields to optimize your portfolio decisions.
Competitive Market Intelligence
Monitor competitor listings and pricing strategies in specific markets. Analyze days on market and price reductions to understand local market dynamics.
Lead Generation for Agents
Identify new listings and price changes to reach out to potential buyers quickly. Track FSBO properties and expired listings for targeted marketing campaigns.
Property Valuation Models
Build accurate pricing algorithms using comprehensive property features and comparable sales. Enhance AVM models with real-time market data and property characteristics.
Extractable Homes.com Data Points
Rebrowser Homes.com Scraper efficiently connects with Homes.com unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:
- Property address and geographic coordinates
- Listing price and price history
- Square footage and lot size
- Number of bedrooms and bathrooms
- Property type and architectural style
- Year built and renovation dates
- School district ratings and nearby schools
- Neighborhood crime statistics
- Property photos and virtual tour links
- Listing agent and brokerage information
Homes.com Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was 11 hours ago.
Ready-to-use Homes.com Dataset Available Now!
Access clean, structured Homes.com data instantly without building your own scraping infrastructure.
Millions of Homes.com data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports
Sample Homes.com API Response Schema
| Field | Type | Description | Example |
|---|---|---|---|
address | object | Full property address including street, city, state, and ZIP code | {"street": "123 Main St", "city": "Austin", "state": "TX", "zip": "78701"} |
price | number | Current listing price in USD | 450000 |
bedrooms | integer | Number of bedrooms in the property | 3 |
bathrooms | number | Number of bathrooms (can include half baths as decimals) | 2.5 |
squareFeet | integer | Total living area in square feet | 2150 |
lotSize | number | Lot size in acres | 0.25 |
yearBuilt | integer | Year the property was constructed | 1998 |
propertyType | string | Type of property (Single Family, Condo, Townhouse, etc.) | Single Family |
listingDate | string | Date when property was listed (ISO 8601 format) | 2024-03-15 |
mlsNumber | string | Multiple Listing Service identification number | MLS2024-789456 |
photos | array | Array of property photo URLs | ["https://photos.homes.com/p1.jpg", "https://photos.homes.com/p2.jpg"] |
schoolRatings | object | Ratings for nearby schools (elementary, middle, high) | {"elementary": 8, "middle": 7, "high": 9} |
Sample Homes.com API Response
Devices Available
Profiles Created
Pages Crawled
Success Rate
Homes.com Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like Homes.com.
Contact Us →IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.
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Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.
Our intelligent proxy selection algorithm considers multiple factors including target website characteristics, historical success rates, current proxy performance metrics, geographic requirements, and specific extraction needs. This dynamic approach ensures each request uses the most appropriate proxy from our diverse pool of 10 providers, maximizing success rates while minimizing detection risk.
Rebrowser Web Scraper API supports multiple data formats to accommodate various integration needs. These include JSON and NDJSON for modern applications, CSV and XLSX for spreadsheet analysis, XML for legacy system compatibility, and custom formats tailored to specific client requirements. Our flexible output options ensure seamless integration with your existing data pipelines.
Our distributed infrastructure spans multiple global regions with strategic points of presence near major data centers. Combined with our diverse proxy network covering 195+ countries, this architecture ensures consistent performance regardless of target website location. For enterprise clients, we can deploy dedicated extraction nodes in specific regions to further optimize performance.
Absolutely. Our technology incorporates advanced request interception and analysis capabilities that can identify, decode, and replicate complex AJAX patterns. This allows us to extract data directly from API endpoints powering modern websites, often bypassing frontend complexities entirely while retrieving cleaner, more structured data with higher efficiency.
