Dealer-Ready Datasets with Every Parameter That Matters
Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
Learn MoreEvery Kelley Blue Book value is tied to a ZIP code, a mileage and a condition level, and is updated weekly. Our KBB scraper collects those values for the trims and markets you name.
Plans from €169/month · Free project assessment · Reply within 1 business day
A Kelley Blue Book value is the answer to a question, not a number waiting on a page. A style page opens with default figures for typical mileage in one ZIP code; the precise ones appear once the visitor enters mileage, ZIP code, options and condition. A crawl of KBB is therefore a matrix you define - which model years and trims, which ZIP codes, which mileage points and condition levels - and we build the extractors that walk it, keep them running and fix them when the site changes.
KBB filters automated traffic strictly, so pacing, proxy rotation, rendering and CAPTCHA handling are part of the service. The start is a free project assessment and, if you want one, a sample. Results arrive as CSV, Excel or JSON files, through our API or as a load into your database, one-off or on the schedule you set.
The unit of KBB data is the style - Kelley Blue Book's word for a trim and body combination, written into the page address after make, model and year. Every row we deliver is keyed on that path plus the inputs behind the value: ZIP code, mileage and condition.
Kelley Blue Book also defines certified pre-owned versions of the Fair Purchase Price and Typical Listing Price; they are captured wherever the site displays them. The field documentation delivered with the dataset states which value each column holds, because KBB car prices come in several kinds for one and the same vehicle.
Kelley Blue Book describes its Fair Purchase Price as what people are paying this week, and prints a valid-through date beside the figures. One extract is therefore one week of one ZIP code. Repeat the same matrix on a schedule and the columns become a KBB price history: trade-in, private party and listing values per style, per ZIP code, per week. That is historical data the site itself only summarises, through its three-year depreciation figures.
Coverage runs along three axes we plan with you:
KBB reviews from owners are collected with the overall rating, the six category scores, the recommendation and the text. Reviewers' names are personal data and are left out by default. The Instant Cash Offer is a personal offer made to one owner about one car, so it stays outside the dataset.
Kelley Blue Book printed its first price guide in 1926 and has run KBB.com since 1995; today it is a Cox Automotive brand. It presents itself as a valuation source for consumers and the car trade alike, and in the United States its name has become the everyday word for what a used car is worth.
For a data buyer the site splits into four layers. The research layer has a page per model, per model year and per style, with expert reviews, pros and cons, specs and feature comparisons, consumer reviews, 5-Year Cost to Own and a depreciation page. The value layer is the questionnaire - mileage, ZIP code, options, condition - that ends in trade-in, private party and Fair Purchase Price figures. The marketplace layer is cars for sale, where the Price Advisor measures a used car's asking price against the Fair Market Range. The editorial layer covers the awards - Best Buy, Best Resale Value, 5-Year Cost to Own and Consumer Choice - and buying advice.
What moves is the value layer. Kelley Blue Book updates values weekly and works them out by geographic region, so one style can carry different figures in two parts of the country and in two consecutive weeks. Kelley Blue Book data is a grid with a time axis, and that is how we collect it.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →How to scrape KBB is the smaller question; what to set its figures against is the larger one. The worth of the dataset comes from comparisons the site does not make for you.
Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed data extraction company: clients describe the dataset, we build, run and maintain the crawlers and deliver the result. Valuation sites like Kelley Blue Book are a particular kind of job - the data sits behind a sequence of choices instead of on a list page, so the crawl plan matters more than the parser.
We never log in and never go behind paywalls, and personal data is handled under GDPR. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt KBB API returns year, make, model, style, ZIP code, mileage, condition, Trade-In Range, Private Party Range and Fair Purchase Price as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Vehicle values, price ranges, specs, ratings and dealer listings are shown to any visitor who picks a car and enters a ZIP code. We collect only publicly available data - everything a visitor can see on Kelley Blue Book - and we collect it legally. Reviewers' names are left out by default.
One row per style, ZIP code, mileage point and condition level, with Trade-In Value and Range, Private Party Value and Range, Typical Listing Price, Fair Purchase Price and Fair Market Range, plus the valid-through date shown with the figures. Model-level tables add specs, the KBB Expert Rating, consumer review scores, 5-Year Cost to Own and depreciation.
The KBB Fair Purchase Price is Kelley Blue Book's estimate of what buyers are paying a dealer this week in a given area, and the other values are restated on the same weekly rhythm. A weekly run over a fixed matrix of styles and ZIP codes captures every restatement. Monthly is enough for depreciation and cost-to-own work, while cars for sale turn over faster and are better watched daily.
We collect what the open pages show for a style, mileage, ZIP code and condition, not a private appraisal of a single car. If you hold a list of vehicles, give us the year, make, model, style and mileage of each and the crawl returns the matching value ranges. On cars-for-sale listings, vehicle identifiers are collected as the listing shows them.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Kelley Blue Book data from €169/month. Free project assessment, reply within 1 business day.
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