Edmunds Dataset
Access dealer vehicle listings from Edmunds including specifications, dealer pricing, MSRP, and the Edmunds True Market Value (TMV) estimate. The dataset covers new and used inventory with trim-level specifications, fuel economy, and deal-rating price context.
Leverage pre-collected listing data for market analysis, valuation modeling, and automotive research. Skip complex scraping with clean, structured datasets updated regularly with new listings and price changes.
Perfect for data scientists, automotive analysts, and fintech teams building pricing models. Includes normalized vehicle classifications, dealer pricing, TMV estimates, and regional market coverage.
Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
999,681 records63 fieldsUpdated about 2 months ago
Edmunds dealer inventory listings with vehicle specifications, dealer pricing, Edmunds price context (deal rating and price thresholds), dealer information, and features.
Edmunds Dataset Use Cases
Pricing & Valuation Modeling
Build pricing and residual-value models using dealer price, MSRP, Edmunds TMV, mileage, and specifications. Validate asking prices against TMV and the Edmunds deal-rating thresholds.
Dealer Inventory Intelligence
Aggregate dealer inventory and pricing across markets. Rank inventory by deal rating and analyze how listings are priced relative to Edmunds reference points.
Auto Lending Analytics
Evaluate loan-to-value ratios using dealer pricing, MSRP, and TMV. Assess collateral value based on pricing and mileage across vehicle segments.
Market Opportunity Analysis
Identify underpriced listings and emerging market trends. Optimize inventory mix based on regional demand, pricing, and deal-rating distributions.
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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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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. By using this dataset, you agree to comply with Edmunds'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 includes the Edmunds True Market Value (TMV) estimate that is delivered alongside each dealer listing, next to the dealer's advertised price and MSRP. TMV is useful for benchmarking a listing's asking price against Edmunds' market valuation for real-world pricing analysis.
The dataset contains dealer pricing, MSRP, Edmunds TMV, mileage, and full vehicle specifications. You can track how asking price varies by make, model, trim, mileage, and age to build predictive pricing and residual-value models.
Each listing carries an Edmunds price-validation deal rating (for example Great, Good, Fair, or Above market) together with the price thresholds Edmunds uses for those ratings. This lets you quantify how aggressively individual listings are priced against Edmunds' own reference points.
The dataset includes dealer advertised/list price alongside TMV and MSRP with dealer location information. You can analyze regional pricing variations, dealer markups, and how competitive pricing differs between markets.
Compare dealer listing prices against the Edmunds TMV estimate and the deal-rating thresholds to find vehicles priced below Edmunds' reference. Analyze price-to-TMV ratios across makes, models, and geographic markets to surface systematic underpricing.
Vehicle records include EPA-rated fuel economy with city, highway, and combined MPG figures. This is useful for fleet efficiency analysis, consumer cost comparisons, and studying the relationship between fuel economy and pricing.
Financial institutions can use dealer pricing, MSRP, and TMV together with mileage and specifications to evaluate loan-to-value ratios and residual-value assumptions for collateral assessment in automotive lending.
The dataset includes dealer inventory with vehicle specifications, pricing, dealer name, and dealer location details. You can aggregate inventory across thousands of dealers nationwide to build search platforms or analyze market supply patterns.
The dataset provides trim-level detail including engine size, cylinders, horsepower, drivetrain, transmission, seats, doors, and body type. You can compare specifications across competing models and analyze how trim-level differences affect pricing.
The dataset covers both new and used dealer listings with dealer pricing, MSRP, and TMV. This lets you analyze the new-to-used price gap, study how quickly new vehicles depreciate, and compare value across vehicle segments.
The dataset is updated regularly to reflect new listings, price changes, and inventory turnover. Price and mileage changes are tracked over time so you can study pricing dynamics as listings age.
Data can be exported in CSV, JSON, XLSX, Parquet, and NDJSON formats. You can apply filters and custom views before exporting to get precisely the subset you need for your analysis or application integration.
