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.
  • 90,648 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 12 hours ago.
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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.
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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.

Our datasets

Discover our comprehensive datasets for efficient web data collection. Our datasets are regularly updated, thoroughly validated for accuracy, and ready for immediate use in your applications. Each dataset comes with complete documentation and sample implementations to get you started quickly.
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Elevate Your Data Strategy Today
Our specialized team focuses exclusively on crafting bespoke data solutions for organizations with specific intelligence requirements.
Receive your first custom dataset sample within one week - engineered to your exact specifications and business logic.
Skip the sales pipeline – communicate directly with our technical team to accelerate understanding and implementation.
Custom sample delivered in 7 days
Access to any website's structured data
Formats optimized for your systems
Frequently Asked Questions

Rebrowser Datasets are premium collections of high-quality data gathered from diverse and reliable public online sources. Each dataset is meticulously validated, cleaned, and structured to provide actionable business insights across various industries and use cases.

Update frequency varies by dataset type. Many of our datasets are refreshed daily or hourly, while others follow industry-appropriate schedules. You can view the specific update frequency for each dataset on its product page, and we can customize update schedules to meet your specific requirements.

We employ a multi-layered validation process including automated checks, statistical anomaly detection, and human review for critical datasets. Our quality control team continuously monitors data quality metrics to ensure all information meets our rigorous standards before delivery to customers.

Rebrowser adheres to global data privacy standards including GDPR, CCPA, and other regional regulations. We implement privacy-by-design principles in our data collection processes, ensure proper anonymization where required, and maintain transparent documentation of data provenance and processing activities.

Rebrowser maintains the highest standards of ethical data sourcing. We strictly adhere to all relevant regulations and guidelines, ensuring all data is obtained legally and ethically. We're committed to respecting data privacy principles and implement robust measures to protect both data subjects and our users.