Kelley Blue Book Scraper

🚀 Instantly collect vehicle valuations, specs, safety ratings, and consumer reviews from Kelley Blue Book (KBB.com).

Built for car dealers, automotive researchers, fleet managers, and anyone who needs accurate vehicle pricing data at scale. Simply provide a year, make, and model, and this tool delivers detailed trim-level valuations, EPA fuel ratings, crash test scores, and consumer reviews. No coding required.

Target Audience: Car dealers, automotive analysts, fleet managers, insurance companies, market researchers Primary Use Cases: Vehicle valuation, pricing analysis, inventory research, market comparison, fleet assessment

What Does Kelley Blue Book Scraper Do?

This tool collects comprehensive vehicle data from KBB.com, the most trusted name in vehicle valuations. It delivers:

• 📊 Fair market price ranges (low, average, high)
• 💰 MSRP, list price, and certified pre-owned pricing
• ⛽ EPA fuel economy ratings (city, highway, combined)
• 🛡️ NHTSA crash test and safety ratings
• ⭐ Consumer quality, reliability, and overall ratings
• 🔧 Full specs (engine, transmission, drivetrain, dimensions)
• 🏆 KBB category rankings
• And more - over 50 data points per vehicle trim

Business Value: Make data-driven decisions on vehicle pricing, compare trims side by side, and track market values across your entire inventory.

Input

To start collecting vehicle data, simply fill in the input form. You can look up vehicles by:

• vehicles - A list of vehicles to look up. Each entry needs a year, make, and model. You can look up multiple vehicles in a single run.
• startUrl - Alternatively, paste a KBB URL directly (e.g. https://www.kbb.com/toyota/camry/2022/).
• maxItems - Maximum number of trim records to collect.
• zipCode - Optional ZIP code for localized pricing. Leave empty for national averages.

Here's an example input configuration in JSON:

{
    "vehicles": [
        { "year": 2022, "make": "toyota", "model": "camry" },
        { "year": 2020, "make": "ford", "model": "f-150" }
    ],
    "maxItems": 10
}

💡 Pro Tip: You can look up dozens of vehicles in a single run. The tool processes up to 3 vehicles in parallel for fast results.

Output

After the Actor finishes its run, you'll get a dataset with the output. You can download those results as an Excel, HTML, XML, JSON, or CSV document.

Here's an example of data you'll get for a 2024 Tesla Model 3:

{
    "imagePath": "https://file.kelleybluebookimages.com/kbb/base/house/2024/2024-Tesla-Model%203-FrontSide_TE332101_640x480.jpg",
    "url": "https://www.kbb.com/tesla/model-3/2024/",
    "year": 2024,
    "make": "tesla",
    "model": "model-3",
    "trimName": "Standard Sedan 4D",
    "trimId": 374778,
    "vehicleId": 470385,
    "bodyStyle": "Sedan",
    "vehicleClass": "UsedCar",
    "size": "Compact",
    "fppPrice": 30000,
    "fairMarketPriceLow": 30000,
    "fairMarketPriceHigh": 30000,
    "fairMarketPriceAverage": 30000,
    "listPriceAverage": 31800,
    "listPriceLow": 31800,
    "listPriceHigh": 41600,
    "nationalBaseDefaultPrice": 31800,
    "originalMSRP": 40630,
    "engineType": "Electric",
    "driveTrain": "RWD",
    "standardEngine": "AC Electric Motor",
    "standardTransmission": "Single-Speed Fixed Gear",
    "electric": true,
    "estimatedElectricRange": 272,
    "doors": 4,
    "maxSeatingCapacity": 5,
    "height": "56.8",
    "widthWithMirrors": "82.2",
    "wheelBase": "113.2",
    "curbWeight": "3862",
    "trunkOrCargoCapacity": 23,
    "frontLegRoom": 42.7,
    "rearLegRoom": 35.2,
    "avgQualityScore": 4.4,
    "avgReliabilityScore": 4.6,
    "avgOverallRating": 4.6,
    "totalReviewCount": 201,
    "recommendPercentage": 0.85,
    "rankCategory": "EVs",
    "actualRank": 8,
    "rankListName": "Best Luxury Electric Cars",
    "inventoryCount": 206,
    "scrapedAt": "2026-02-27T16:56:48.682Z"
}

What You Get: Pricing data across multiple valuation methods, complete vehicle specifications, EPA fuel economy, safety crash test scores, consumer review aggregates, and KBB category rankings.

Download Options: CSV, Excel, or JSON formats for easy analysis.

Why Choose the Kelley Blue Book Scraper?

• ⚡ Fast Batch Lookups - Look up dozens of vehicles in a single run with parallel processing
• 📊 50+ Data Points - Get pricing, specs, safety, reviews, and rankings per trim
• 🎯 Trim-Level Detail - Each vehicle returns data for every available trim, not just a summary
• 💰 Multiple Valuations - Fair market price, list price, MSRP, and certified pre-owned pricing
• 🔍 ZIP Code Pricing - Get localized valuations based on your market area

Time Savings: Looking up 50 vehicles manually on KBB takes hours. This tool does it in minutes.

How to Use

1. 📱 Sign Up: Create a free account w/ $5 credit (takes 2 minutes)
2. 🔍 Find the Scraper: Visit the Kelley Blue Book Scraper page on Apify
3. 🎯 Set Input: Add your vehicles (year, make, model) or paste a KBB URL
4. 🚀 Run It: Click "Start" and let it collect your data
5. 📊 Download Data: Get your results in the "Dataset" tab as CSV, Excel, or JSON

No Technical Skills Required: Everything is point-and-click.

Business Use Cases

Car Dealers:

• Price your inventory based on current KBB fair market values
• Compare trim-level pricing across your lot
• Track depreciation trends for popular models

Insurance Companies:

• Determine vehicle replacement values
• Validate claims against current market pricing
• Assess fleet values at scale

Market Researchers:

• Build comprehensive vehicle pricing databases
• Analyze pricing trends across makes and models
• Compare specs and ratings across vehicle segments

Fleet Managers:

• Evaluate total cost of ownership across vehicle options
• Compare fuel economy ratings for fleet planning
• Make data-driven purchase decisions

Using Kelley Blue Book Scraper with the Apify API

For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API. This allows you to schedule regular data collection and integrate with your existing business tools.

• Node.js: Install the apify-client NPM package
• Python: Use the apify-client PyPI package
• See the Apify API reference for full details

Frequently Asked Questions

Q: How does it work? A: Simply enter the year, make, and model of the vehicles you want to look up. The tool visits KBB.com, collects all available trim-level data, and delivers it as a clean, structured dataset.

Q: How many vehicles can I look up at once? A: You can add as many vehicles as you need to the input list. The tool processes up to 3 in parallel, so large batches complete quickly.

Q: Does it return data for every trim? A: Yes. If a vehicle has multiple trims (e.g. Toyota Camry LE, SE, XSE, XLE, TRD), each trim is returned as a separate record with its own pricing and specs.

Q: Can I get localized pricing? A: Yes. Add a ZIP code to the input and the tool will return market-specific pricing instead of national averages.

Q: Can I schedule regular runs? A: Absolutely. Use Apify's built-in scheduling to run the scraper daily, weekly, or at any interval you need for up-to-date pricing data.

Integrate Kelley Blue Book Scraper with any app and automate your workflow

Last but not least, Kelley Blue Book Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more.

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Kelley Blue Book Scraper successfully finishes a run.

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💡 Pro Tip: Browse our complete collection of data collection actors to find the perfect tool for your business needs.

Need Help? Our support team is here to help you get the most out of this tool.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Kelley Blue Book, Cox Automotive, or any of their subsidiaries. All trademarks mentioned are the property of their respective owners.