Access comprehensive historical real estate data from Trulia covering millions of properties across the United States. Our dataset includes detailed property characteristics, transaction history, and market trends spanning multiple years.
Analyze property sales patterns, price fluctuations, and neighborhood dynamics with structured data ready for machine learning and statistical analysis. Perfect for building predictive models, market research, and investment strategies.
Leverage cleaned and normalized data including property features, school information, crime statistics, and demographic insights. Updated regularly to ensure accuracy for real estate analytics and business intelligence applications.
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Trulia Dataset Use Cases
Predictive Analytics for Property Valuation
Train machine learning models on historical sales data to predict future property values and market movements. Identify undervalued properties and emerging neighborhoods before market shifts.
Real Estate Market Research
Analyze long-term trends in housing affordability, buyer preferences, and regional market dynamics. Generate insights for investment strategies and development planning.
Risk Assessment for Mortgage Lending
Evaluate property and neighborhood factors to assess lending risks and optimize mortgage pricing. Correlate historical data with default rates to improve underwriting decisions.
Urban Planning and Policy Analysis
Study housing patterns, gentrification trends, and demographic shifts to inform city planning decisions. Analyze the impact of school quality and crime rates on property values.
Trulia Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 3 hours ago.
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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 Trulia. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Trulia user credentials. By using this dataset, you agree to comply with Trulia'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.
This dataset provides Trulia property listings enriched with unique local data including crime statistics, commute times, school ratings, and neighborhood demographics. Access homes for sale, rentals, and recently sold properties across US markets.
Trulia's dataset includes neighborhood-level crime statistics and safety information integrated with property listings. Analyze how crime rates correlate with property values, study safety trends by area, and factor neighborhood safety into investment decisions.
Trulia provides commute time estimates and transportation data alongside property listings. Study how commute convenience affects property pricing, identify neighborhoods with the best transit access, and analyze the premium buyers pay for shorter commutes.
The dataset includes school district ratings at the neighborhood level. Analyze the relationship between school quality and home prices, compare school performance across areas, and identify neighborhoods where good schools offer the best property value.
Combine property pricing with neighborhood data to make informed investment decisions. Analyze areas where improving neighborhood metrics may signal future price appreciation, and identify undervalued properties in desirable neighborhoods.
Listings include price history tracking and days on market information. Study pricing strategies, analyze how quickly properties sell in different markets, and track price reductions to understand seller behavior patterns.
Monitor listing volumes, pricing trends, and inventory levels across US markets. Identify markets with increasing activity, track seasonal patterns, and analyze market conditions from a buyer's and seller's perspective.
Property records include agent contact details and listing attribution. Study agent activity, analyze brokerage market share, and understand listing patterns across different property types and markets.
The dataset includes mortgage calculator data and estimated monthly payment information. Analyze affordability across markets, study how interest rate changes affect buying power, and compare owning vs renting in specific neighborhoods.
The dataset is refreshed regularly to capture new listings, price changes, and status updates. Historical data supports trend analysis and seasonal pattern identification across US real estate markets.
Trulia's unique integration of local neighborhood insights — crime maps, commute data, school ratings, and community demographics — alongside traditional property listings provides a more complete picture of what it's like to live in an area, not just what the property looks like.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply geographic, price, and property type filters before export to get the specific real estate data subset you need.