Homes.com Dataset

Access a comprehensive Homes.com dataset containing millions of US property listings with detailed specifications and market insights. Our dataset includes historical pricing data, property characteristics, and neighborhood demographics updated regularly.
Leverage pre-collected real estate data for market analysis, property valuation models, and investment research. Each record contains standardized property attributes, geospatial data, and market indicators.
Ideal for data scientists, real estate firms, and PropTech companies building predictive models and market intelligence platforms. Skip the complexity of data collection and focus on extracting valuable insights.
Homes.com dataset illustration Dataset illustration Homes.com
Warning: This dataset is available only to enterprise customers. Please contact us for more details.

Homes.com Dataset Use Cases

Predictive Price Modeling
Train machine learning models on historical property data to forecast future prices. Identify market trends and seasonal patterns across different geographic regions.
Market Research and Analysis
Analyze housing inventory levels, median prices, and market velocity by region. Generate comprehensive reports on real estate market conditions and emerging trends.
Location Intelligence Platform
Build neighborhood comparison tools using property values, school ratings, and amenities. Create heat maps showing investment opportunities and market dynamics.
Portfolio Risk Assessment
Evaluate real estate portfolio exposure across different markets and property types. Calculate risk metrics using historical volatility and correlation data.

Homes.com Dataset New Entries

The graph below contains real data based on our scraping operations. Latest update was 3 hours ago.
Advanced Homes.com Web Scraper Available Now!
Get real-time Homes.com data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Homes.com
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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Records Processed
Accuracy Rate
Homes.com Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use Homes.com dataset provides instant access to clean, structured data without any infrastructure headaches.
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Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Homes.com. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Homes.com user credentials. By using this dataset, you agree to comply with Homes.com's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.

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Frequently Asked Questions

This dataset provides comprehensive Homes.com listings including residential and commercial properties across the United States. Access pricing, specifications, photos, neighborhood information, and agent details for millions of properties.

Records include square footage, bedroom and bathroom counts, lot size, year built, property type, and features. Analyze how different property attributes affect pricing across markets and identify the most valued specifications by region.

The dataset includes listing prices with historical tracking. Monitor price changes over time, identify seasonal patterns, and analyze market-level pricing trends to understand real estate market dynamics.

Listings include neighborhood demographics, school ratings, and walkability scores. Study how local amenities and school quality affect property values, and compare neighborhoods for investment potential.

The dataset tracks virtual tour availability and photo counts for listings. Analyze how virtual tours and visual content affect listing performance, and identify trends in property marketing across different markets.

Researchers use the dataset to study pricing trends, inventory levels, market velocity, and regional demand patterns. The comprehensive listing data supports market sizing, competitive analysis, and trend forecasting.

Property records include agent contact details, listing history, and brokerage affiliation. Study agent activity patterns, analyze market share by brokerage, and identify top-performing agents in specific markets.

Filter and aggregate listings by state, city, and property type to compare home values nationally. Analyze median prices, price per square foot, and inventory levels to understand how markets differ across the country.

The dataset is refreshed regularly to capture new listings, price changes, and status updates. Historical data enables trend analysis and seasonal pattern tracking.

Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters by location, property type, and price range before export to get the specific data subset you need.

Compare listing prices against market averages for similar properties in the same area. Analyze price per square foot ratios, identify properties priced below comparable, and study days on market to find motivated seller opportunities.

The dataset includes rental listings with monthly rates, lease terms, and property specifications. Compare rental pricing across markets, analyze rent-to-buy ratios, and study rental market trends alongside sales data.