Cars.com Dataset

Comprehensive Cars.com marketplace dataset containing millions of vehicle listings, expert reviews, and consumer behavior data across all automotive segments. Includes detailed analysis of pricing trends, regional demand patterns, and dealer performance metrics from one of the largest automotive marketplaces.
Pre-processed automotive intelligence featuring Cars.com's unique combination of professional reviews, consumer feedback, and market analytics. Perfect for building predictive models around vehicle demand, pricing optimization, and understanding consumer preferences in the automotive marketplace.
    Cars.com dataset illustration Keywords: cars, listings, dealers, vehicles, pricing, inventory, mileage, trim… cars listings dealers vehicles pricing inventory mileage trim make model drivetrain transmission fuel type VIN certified MSRP Cars.com

    Data Entities

    Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.

    4,884,325 records29 fieldsUpdated about 7 hours ago

    Cars.com vehicle listings with specifications, pricing, dealer information, expert and consumer ratings, and listing URLs.

    Cars.com Dataset Use Cases

    Automotive Product Development
    Guide vehicle design and feature development using Cars.com's comprehensive consumer feedback and expert review data. Identify which features and specifications drive highest consumer interest and satisfaction ratings across different market segments.
    Dealership Network Optimization
    Optimize dealership operations and location strategies using Cars.com's market penetration data and regional performance analytics. Analyze successful dealer practices and customer satisfaction patterns to improve overall network performance.
    Automotive Finance Strategy
    Develop more competitive financing products using Cars.com's comprehensive pricing and purchase behavior data. Analyze financing preferences and approval rates across different vehicle types and consumer demographics for optimized lending strategies.
    Market Expansion Research
    Support automotive market entry decisions using Cars.com's detailed regional demand analysis and competitive landscape data. Identify underserved markets and optimal product positioning strategies based on comprehensive marketplace intelligence.
    Advanced Cars.com Web Scraper Available Now!
    Get real-time Cars.com data with custom processing to perfectly fit your data pipelines.
    Real-time data with live updates from Cars.com
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    Scalable infrastructure that bypasses anti-bot measures
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    Cars.com 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 Cars.com 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.
    Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Cars.com. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Cars.com user credentials. By using this dataset, you agree to comply with Cars.com'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 Cars.com marketplace data including new and used vehicle listings, pricing, dealer information, expert reviews, and consumer ratings. Filter by make, model, condition, price, and location to access the specific automotive data you need.

    The dataset includes both Cars.com expert review scores (out of 10) and average consumer ratings (out of 5) for vehicles. Compare professional assessments against real owner feedback to get a balanced view of vehicle quality and satisfaction across different models.

    Every listing includes dealer name, rating, location, and real-time pricing for their inventory. Monitor inventory levels across thousands of dealers, track price changes, and analyze how dealer performance ratings correlate with pricing strategies.

    The dataset captures available financing APR rates and lease programs from dealers. Analyze how financing terms vary by vehicle type, compare offers across dealers and regions, and study the relationship between financing availability and listing prices.

    With both MSRP and listing prices for new cars alongside used vehicle pricing, you can study the new-to-used price transition. Track how dealer prices compare to MSRP, analyze used car value retention by model, and identify pricing trends across vehicle segments.

    Yes — dealer records include ratings, review counts, and inventory details that enable performance comparison. Rank dealers by customer satisfaction, analyze which dealers maintain the most competitive pricing, and study successful listing strategies.

    Filter and aggregate listings by location to identify which models dominate specific geographic markets. Analyze regional inventory composition, pricing variations, and consumer preferences to understand local automotive market dynamics.

    Listings are categorized as new, used, or certified pre-owned. You can analyze pricing differences across conditions, study the certified pre-owned premium by manufacturer, and track market share trends for each condition category.

    Researchers and analysts use the dataset to study pricing trends, consumer preferences, regional demand patterns, and competitive dynamics in the automotive marketplace. The combination of pricing data, reviews, and dealer information provides a comprehensive view of the market.

    The dataset is updated regularly to capture new listings, price changes, and inventory movements. Historical data enables trend analysis and seasonal pattern identification across the automotive marketplace.

    Compare listing prices against market averages by make, model, and region to find underpriced vehicles or overpriced segments. Analyze price dispersion within vehicle categories to identify opportunities for both buyers and sellers.

    The dataset includes trade-in value estimates and market price analysis. Use this data to understand the gap between trade-in and retail values, analyze how trade-in valuations vary by vehicle type, and build competitive acquisition pricing models.

    Data exports are available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply custom filters and field selections before export to get precisely the data subset your analytics or application needs.

    Track dealer promotions, incentives, and special offers alongside listing performance data. Study which promotional strategies drive the most consumer interest and analyze how incentives affect pricing, inventory turnover, and dealer visibility.

    Records include year, make, model, trim level, mileage, and detailed feature specifications. Analyze how specific features affect pricing, study trim-level value differences, and understand which specifications drive the highest consumer interest.