Redfin Dataset
Access our comprehensive Redfin dataset containing millions of property records, historical transactions, and market analytics. Our continuously updated database includes active listings, sold properties, and detailed market trends across all Redfin markets.
This dataset provides structured real estate data perfect for machine learning models, market research, and investment analysis. Contains enriched property information including valuations, neighborhood characteristics, and comparative market analysis.
Download historical and current real estate data in bulk with consistent formatting and regular updates. Ideal for building predictive models, conducting market studies, or powering real estate applications.
- 85,059 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Redfin Dataset Use Cases
Predictive Analytics and Machine Learning
Train property valuation models using historical sales data and property characteristics. Develop price prediction algorithms and market forecasting systems with comprehensive training data.
Market Research and Trend Analysis
Analyze long-term market trends, seasonal patterns, and regional price movements. Generate insights on buyer preferences, popular amenities, and emerging neighborhoods.
Risk Assessment for Mortgage Lending
Evaluate property values and market stability for loan underwriting decisions. Assess portfolio risk using historical price volatility and neighborhood trends.
Urban Planning and Development
Identify development opportunities using zoning data and market demand indicators. Support city planning initiatives with comprehensive housing market analytics.
Redfin Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 4 hours ago.
Advanced Redfin Web Scraper Available Now!
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Real-time data with live updates from Redfin
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Datasets Available
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Redfin 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 Redfin 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 Redfin. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Redfin user credentials. By using this dataset, you agree to comply with Redfin'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 Redfin listing data including homes for sale, rentals, and recently sold properties with pricing history and Redfin Estimate valuations. Access millions of property records across all Redfin-covered markets.
The Redfin Estimate is Redfin's automated valuation model for US homes. This dataset includes Redfin Estimates alongside listing prices and historical sales data, enabling you to compare algorithmic valuations against actual market pricing for analysis.
The dataset includes historical pricing data and recently sold properties with final sale prices. Track price appreciation, analyze sale-to-list ratios, and build comparable sales analyses using comprehensive transaction history.
The dataset includes agent performance metrics and listing attribution data. Study agent activity levels, analyze how different listing strategies perform, and identify top-performing agents in specific markets.
The dataset provides features needed for AVM development — property attributes, location data, historical sales, and market comparables. Build and train valuation models using square footage, age, condition, location, and comparable sales data.
Listings include neighborhood demographics, school district ratings, walkability scores, and local amenity information. Analyze how neighborhood quality affects property values and compare livability metrics across areas.
Aggregate and compare listing data across cities and states to assess market conditions. Analyze median prices, inventory levels, days on market, and price trends to identify the strongest and weakest markets nationally.
Yes — the dataset captures new listings as they enter the market alongside status changes and price updates. Monitor listing activity to understand market velocity, track supply trends, and identify areas with increasing or decreasing activity.
Compare purchase prices against rental estimates, analyze price appreciation trends, and evaluate property attributes to identify investment opportunities. Use historical data to model returns and assess risk across different markets.
Redfin sources listings from MLS databases across the US, providing comprehensive market coverage. The dataset includes full listing details, pricing, property specifications, and agent information from MLS-sourced data.
The dataset is refreshed regularly to capture new listings, price changes, and completed sales. Historical data is preserved for long-term trend analysis and market cycle research.
Data exports are available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply geographic, property type, and price filters before export to get precisely the data needed for your research.
