Realtor.com Dataset
Access our comprehensive Realtor.com dataset containing millions of property records across the United States. Historical and current listing data includes pricing trends, property characteristics, and market dynamics for residential and commercial real estate.
Our dataset covers all major US metropolitan areas with detailed property attributes, transaction history, and neighborhood statistics. Analyze market trends, predict property values, and identify investment opportunities with clean, structured data.
Updated regularly with new listings, price changes, and sold properties. Perfect for machine learning models, market research, and real estate analytics platforms requiring large-scale property data.
- 89,944 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Realtor.com Dataset Use Cases
Predictive Pricing Models
Train machine learning algorithms to predict property values and market trends. Build accurate automated valuation models (AVMs) using comprehensive historical data.
Market Research and Analytics
Analyze supply and demand dynamics across different markets and property types. Generate detailed reports on market conditions, pricing trends, and investment opportunities.
Real Estate Portfolio Optimization
Evaluate large property portfolios and identify undervalued assets. Optimize investment strategies using comparative market analysis and performance metrics.
Location Intelligence Platforms
Enhance location-based services with rich real estate data layers. Power property search engines and recommendation systems with comprehensive listing data.
Realtor.com Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 34 minutes ago.
Advanced Realtor.com Web Scraper Available Now!
Get real-time Realtor.com data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Realtor.com
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
Data Points
Records Processed
Accuracy Rate
Realtor.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 Realtor.com dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →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 Realtor.com. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Realtor.com user credentials. By using this dataset, you agree to comply with Realtor.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 Realtor.com listings sourced from Multiple Listing Services (MLS) across all US markets. Access homes for sale, rentals, recently sold properties, and foreclosures with detailed pricing and property specifications.
The dataset captures listing updates including price changes, status transitions, and new listings. Monitor market activity in specific areas, track how pricing evolves from initial listing to sale, and analyze listing velocity patterns.
The dataset includes agent contact information, listing activity, and broker affiliations. Analyze agent market share, study which agents are most active in specific markets, and benchmark broker performance across regions.
Listings include neighborhood demographics, school ratings, walkability scores, and local amenity data. Study how neighborhood quality metrics correlate with property values and identify areas offering the best value relative to their amenities.
The dataset tracks foreclosure listings and distressed properties alongside standard listings. Analyze foreclosure rates by market, study pricing for distressed vs standard properties, and identify investment opportunities in the distressed property segment.
Build comparable sales analyses using recently sold property data with full pricing and specification details. Compare active listings against completed sales to estimate market values and support appraisal, lending, and insurance decisions.
Listings track photo availability, virtual tour links, and floor plan data. Analyze how visual content affects listing performance and pricing, and study trends in property marketing across different market segments.
Filter for rental listings to study rent levels, availability, and market trends across US cities. Compare rental yields against property values, analyze affordability metrics, and track rental market supply and demand.
Aggregate listing data by geography to assess market health indicators — inventory levels, median prices, days on market, and listing volumes. Compare market conditions across states and cities to identify hot and cold markets.
The dataset is refreshed regularly to capture new MLS listings, price changes, and status updates. Historical data enables trend analysis and long-term market research across all US real estate markets.
Records include square footage, bedrooms, bathrooms, lot size, year built, property type, and feature lists. Analyze how specific attributes affect pricing in different markets and identify the most valued property features.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply geographic, price, and property type filters before export to get precisely the real estate data needed for your analysis.
