Edmunds grades used car asking prices as great, good, fair or high and counts each car's days on the site. Our Edmunds scraper delivers those signals with the full listing, VIN by VIN.
Plans from €169/month · Free project assessment · Reply within 1 business day
Edmunds publishes two kinds of pages that are rarely collected together: inventory, where every vehicle has an address built on its VIN, and research, where every model year has pricing, reviews, specifications and ownership costs. You tell us which side you need - makes, models, years, ZIP codes and search radius for inventory; models and trims for research - and we build the crawlers, run them and fix them when Edmunds changes a template.
The site answers an unfamiliar visitor with a browser challenge before any content loads, so rendering, pacing, proxy rotation and CAPTCHA handling come with the service. We begin with a free project assessment, a sample can be ordered before you commit, and field documentation ships with the dataset. Runs are one-off or scheduled - daily, weekly or on demand.
An Edmunds listing lives at make, model, year and then /vin/ followed by the vehicle identification number, so the VIN is the natural key: it stays put while the price, the rating and the day counter move. The listing page is laid out in labelled blocks, and we keep them as groups of columns.
Model pages add what no listing carries: MSRP and the Edmunds Suggested Price for each of the trims, the Edmunds Expert Rating out of ten with its category scores, owner reviews, features and specs, safety ratings, recalls, reliability and the monthly cost to drive.
Edmunds draws a short price chart on the listing itself - dated points against the average market price - and counts the days a car has been on Edmunds. Scheduled runs keyed on VIN extend that into a full record: first seen, every change of price, the day the rating moved from fair to great, the day the listing went away. Used car listings and new car listings are followed the same way, with MSRP as the anchor for new stock.
Beyond the single listing:
Owner reviews come with star rating, title, date, trim and text; the authors' names are personal data and stay out of the dataset by default.
Edmunds is a US car shopping guide, a wholly owned subsidiary of CarMax, that counts more than fifty years of experience. Its editors drive vehicles on a test track and on real roads and score them out of ten, and the same site lists dealer inventory, appraises trade-ins and publishes price guidance - so one domain says both what a model is like and what one exact car is selling for.
The top navigation is short - New, Used, Appraise, Reviews - but the address grammar underneath is deep. A model has a page; each model year has its own page with sub-pages for consumer reviews, features and specs, cost to own, deals and appraisal value; each vehicle in stock has a VIN page. Research pages reach back through decades of model years, the older ones marked Used.
Its price vocabulary is what sets Edmunds apart. The Edmunds Suggested Price is what the site recommends paying for a new trim, shown beside MSRP and worked out for a location. Used inventory is graded against an average market price. True Cost to Own projects five years of ownership, and the Price Checker rates a dealer quote that a shopper brings back. Everything is local: change the ZIP code and the suggested price, the inventory and the incentives change with it.
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Full plan details →Edmunds is one of the few places where a dealer's asking price, a market benchmark and the manufacturer's sticker stand on the same page. That makes its rows useful to anyone who has to judge a price and not merely read one.
How to scrape Edmunds well comes down to keys: the VIN for inventory, model year and trim for research.
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 builds and operates web crawlers for companies that want the data and not the tooling. Car research sites such as Edmunds are demanding in a specific way: prices depend on the ZIP code held in the session, a listing's VIN has to survive every run, and a model page is rewritten with each new model year.
We work from open pages only - no logins, nothing behind a paywall - and treat personal data as GDPR requires. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt Edmunds API returns VIN, year, make, model, trim, mileage, dealer price, price rating, days on Edmunds and dealership name as JSON from an endpoint we host, refreshed on the schedule you set. The same rows are also delivered as CSV or Excel files, as a JSON feed, to Amazon S3 or SFTP, or loaded into your database.
Yes. Edmunds shows inventory, dealer prices, price ratings, suggested prices, specifications and reviews to every visitor without an account. We collect only publicly available data - everything a visitor can see on Edmunds - and we collect it legally. Names of owner reviewers and contact details of private sellers are not part of the dataset.
Yes, as two separate tables. Expert reviews carry the overall Edmunds Expert Rating, the scores for driving experience, comfort, in-cabin tech, storage, value and MPG, and the pros, cons and what is new for the model year. Owner reviews carry the star rating, title, date, trim and text, together with the star distribution for the model.
Yes. A vehicle keeps its VIN address for as long as it is listed, so repeated runs record the first appearance, each price drop, each change of price rating and the date after which the listing no longer appears. Daily runs give day-level precision, and the listing's own days-on-Edmunds counter is stored as a cross-check.
Any you choose. Inventory is searched by ZIP code and radius, and the Edmunds Suggested Price, the incentives and True Cost to Own are all worked out for a location, so every row is stamped with the ZIP code it was collected for. A national dataset is built from a panel of ZIP codes agreed with you at the start.
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.
Edmunds data from €169/month. Free project assessment, reply within 1 business day.
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