Zillow Dataset
Access comprehensive Zillow datasets containing millions of property records, historical transactions, and market analytics. Our pre-collected data spans residential and commercial properties across all US markets with regular updates.
Leverage structured real estate data including property characteristics, valuation trends, and transaction histories. Each dataset entry contains detailed attributes, geographic coordinates, and temporal market indicators.
Analyze market dynamics with historical Zestimate values, sales patterns, and inventory fluctuations. Perfect for machine learning models, market research, and investment strategy development.
- 97,960 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Zillow Dataset Use Cases
Predictive Analytics for Property Values
Train machine learning models on historical property data to predict future price movements. Identify factors that influence property appreciation across different markets and timeframes.
Market Research and Trend Analysis
Analyze macro and micro real estate trends using comprehensive historical data. Understand seasonal patterns, demographic shifts, and economic indicators affecting property markets.
Risk Assessment for Mortgage Lending
Evaluate property collateral values and market stability for loan underwriting. Assess portfolio risk using historical volatility and comparable sales data across geographic regions.
Urban Planning and Development
Study housing inventory, density patterns, and price distributions for city planning initiatives. Identify areas suitable for development based on historical growth patterns and current market gaps.
Zillow Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 3 minutes ago.
Advanced Zillow Web Scraper Available Now!
Get real-time Zillow data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Zillow
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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Zillow 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 Zillow 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 Zillow. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Zillow user credentials. By using this dataset, you agree to comply with Zillow'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 Zillow listing data including homes for sale, rentals, and recently sold properties across the United States. Browse millions of property records with pricing, specifications, neighborhood data, and Zestimate valuations.
Zestimate is Zillow's proprietary automated valuation model that estimates a home's market value. This dataset includes Zestimate values alongside listing prices and historical price data, enabling you to compare algorithmic valuations against actual market pricing.
The dataset includes pricing data with geographic detail enabling neighborhood-level analysis. Track median prices, price per square foot, and listing volume over time to understand local market dynamics and identify trending areas.
Records include square footage, bedroom and bathroom counts, lot size, year built, property type, and amenity lists. Analyze how property attributes affect pricing across different markets and identify the most valued features by location.
Investors use the dataset to evaluate property values, rental yields, and market trends across multiple markets. Compare purchase prices against rental rates, analyze price appreciation trends, and identify undervalued properties for investment opportunities.
The dataset includes neighborhood demographics, school district ratings, walkability scores, and local amenity information. Study how school quality and neighborhood characteristics affect property values and buyer demand.
The dataset provides the training data needed for AVM development — historical sales prices, property attributes, location data, and comparable sales. Build models using features like square footage, age, location, and condition to predict property values.
Yes — listing records include agent and broker details with listing attribution. Analyze agent activity levels, study brokerage market share, and identify top-performing agents in specific markets.
Filter the dataset for rental listings to compare rental rates by city, neighborhood, and property type. Analyze rent-to-price ratios, study how rental markets differ from sales markets, and identify the best rental yield opportunities.
The dataset is updated regularly to capture new listings, price changes, status updates, and sold properties. Historical data enables long-term trend analysis and market cycle research.
The dataset includes property tax records and mortgage-related data. Analyze tax burden by location, study how tax rates affect home values, and use mortgage calculator data for affordability analysis across markets.
Days on market data reveals how quickly properties sell based on pricing, location, and property type. Study market velocity, identify fast-moving and stagnant segments, and understand what drives quicker sales in different markets.
Data exports are 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 you need for your analysis.
Compare median home prices, inventory levels, price trends, and property attributes across US cities. Identify which markets offer the best value, study migration patterns through pricing shifts, and analyze market health indicators by region.
The dataset includes recently sold properties with final sale prices, original listing prices, and time on market. Analyze sale-to-list price ratios, study how long different property types take to sell, and build comparable sales analyses.
