Edmunds Dataset
Access comprehensive historical automotive data from Edmunds including pricing trends, depreciation curves, and market valuations. Our dataset covers millions of vehicles with complete specifications, ownership costs, and expert assessments.
Leverage pre-collected vehicle data for market analysis, valuation modeling, and automotive research. Skip complex scraping with our clean, structured datasets updated regularly with new listings and price changes.
Perfect for data scientists, automotive analysts, and fintech companies building valuation models. Includes normalized vehicle classifications, historical TMV prices, and regional market variations.
- 80,086 new entries per day (see new entries graph)
- 5+ million vehicle records with complete trim specifications since 2010
- Monthly TMV price history tracking depreciation curves by model
- Aggregated dealer pricing patterns across 50 states and major metros
- Historical incentive programs and their impact on transaction prices
- Expert and consumer ratings correlated with resale values
Edmunds Dataset Use Cases
Depreciation Modeling
Build accurate vehicle depreciation models using historical TMV data. Predict future values based on make, model, trim, and market conditions.
Insurance Risk Assessment
Analyze vehicle safety ratings, repair costs, and claim frequencies. Develop risk-based pricing models using comprehensive vehicle attributes.
Auto Lending Analytics
Evaluate loan-to-value ratios using historical pricing trends. Assess portfolio risk based on vehicle depreciation patterns and market dynamics.
Market Opportunity Analysis
Identify undervalued vehicle segments and emerging market trends. Optimize inventory mix based on regional demand patterns and profitability metrics.
Edmunds Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 15 days ago.
Advanced Edmunds Web Scraper Available Now!
Get real-time Edmunds data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Edmunds
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
Data Points
Records Processed
Accuracy Rate
Edmunds 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 Edmunds 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 Edmunds. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Edmunds user credentials.
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Frequently Asked Questions
Yes, we offer custom dataset creation services. Our team can work with you to define requirements, identify appropriate data sources, and develop entirely new datasets tailored to your specific business needs. Contact our solutions team to discuss your custom data requirements.
While our datasets provide value across numerous sectors, we've seen particularly strong results in e-commerce, financial services, healthcare, travel and hospitality, real estate, and technology. Our industry-specific datasets contain targeted information that addresses the unique challenges and opportunities in each vertical.
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Our datasets are frequently used for AI and machine learning model training, competitive analysis, market research, consumer behavior studies, product development, pricing optimization, sentiment analysis, and trend forecasting across various industries.
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