mobile.de Data for Residual Value Models: 1M Car Listings a Month
A monthly snapshot of mobile.de for an automotive data company: cars and vans up to 12 years old, delivered in the client's own CSV template.
Learn MoreAn AUTODOC product card lists an article number, an EAN, OE numbers from the carmakers and, on many items, a price set against RRP. Our AUTODOC scraper collects them shop by shop.
Plans from €169/month · Free project assessment · Reply within 1 business day
You choose the shops - autodoc.de, autodoc.co.uk, auto-doc.fr or any other country site - and the scope: categories, brands, vehicles, or a list of OE or article numbers to look up. We build the crawler, run it and fix it whenever AUTODOC changes its pages. The German shop, autodoc.de, holds unfamiliar traffic on a waiting page before the catalogue appears, which is why request pacing, rotating proxies, CAPTCHA handling and rendering come with the service.
Every row carries its shop, currency and collection time. You get field documentation and files in CSV, XLSX, JSON or JSONLines, or the rows through our API, a JSON feed, SFTP or Amazon S3 - once, or on a daily or weekly schedule.
An AUTODOC product card is dense with identifiers and technical attributes, which is what makes it useful beyond the shop itself. Our AUTODOC scraper returns one row per product and shop:
Reviewer names are personal data and stay out of the dataset by default; the rating, the count and the text are enough for product work.
AUTODOC is not one shop but a family of country shops with their own domains, languages and prices: autodoc.de, auto-doc.fr, autodoc.co.uk, auto-doc.it, autodoc.es, autodoc.nl, autodoc.pl, autodoc.se and more, plus English-language shops aimed at Germany, France, Italy and the Netherlands. The UK shop prices in GBP and the euro shops in euros, each with its own VAT line, so one article number becomes several price points and we keep them apart with a shop column.
Coverage reaches past the product card. Category listings can be cut by brand, since each brand has its own filtered address, and by maker, model and engine; brand pages gather a manufacturer's range; separate subdomains carry motorbike and truck parts. Each OE number also has a page of its own on the shop, listing the aftermarket articles AUTODOC marks as equivalent, with their brands and a price range, so a list of OE numbers opens the competing set for each original part.
The card only ever shows today's price, RRP reference, discount badge and stock counter, with no record of earlier figures. Repeated runs on the same article numbers are the reliable way to track AUTODOC price history per shop, with every change dated by the run that recorded it.
AUTODOC was founded in Berlin in 2008 and sells car parts and accessories online in 27 countries, each served by its own shop. The range covers car spare parts, including parts for hybrid and battery electric vehicles, tyres and wheels, engine oils and fluids, tools, accessories, and parts for trucks and motorbikes. Next to manufacturers such as Bosch, Brembo, ATE, Bilstein, febi bilstein and Valeo, it sells its own brands RIDEX and goCORE.
The catalogue is organised by category and subcategory - Brakes, then Brake pads, Brake discs, Brake caliper - and by vehicle. A visitor picks a maker, a model and an engine, or on the UK and French shops enters a registration number, and the listing narrows to parts that fit. Product cards are long: a block of technical attributes, the article number and EAN, OE references, buyer ratings, and an Alternatives block naming equivalent parts from other brands.
Around the shop sit the AUTODOC CLUB app for maintenance planning, a large library of repair guides and video tutorials, and a customer service team the company describes as vehicle mechatronics engineers. For data work the shop pages are what matters: prices, stock and ratings there are shown to every visitor.
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€229 / mo
setup fee €499
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setup fee €499
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setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →AUTODOC publishes prices for a very wide slice of the European aftermarket, and it does so with identifiers that join cleanly to anyone else's catalogue.
A monthly snapshot of mobile.de for an automotive data company: cars and vans up to 12 years old, delivered in the client's own CSV template.
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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 data extraction company working as a managed service. We build and maintain the crawlers, take care of the anti-bot side and deliver documented datasets on the schedule you choose. For a multi-country retailer like AUTODOC that means one crawler per shop - the same catalogue repeated across many domains, each with its own language, currency and price - joined into one dataset. Every project starts with a free assessment, and you can order a sample before committing.
Yes. Our ScrapeIt AUTODOC API serves article number, EAN, OE numbers, price, RRP and stock per shop as JSON from an endpoint we host, updated on the schedule you choose. The same rows are available as CSV or XLSX files, through a JSON feed, or loaded into your database.
Yes. Product cards, prices, specifications, OE references and ratings are shown to every visitor without an account. We collect only publicly available data - everything a visitor can see on AUTODOC - and we collect it legally, leaving out reviewer names and anything behind a login.
A product card shows only the current price, discount badge and RRP comparison, and each country shop prices the same article on its own, so a change is visible only against an earlier run. For pricing work we collect daily; for catalogue and fitment work, weekly is usually enough. Every row carries its collection time, so you see exactly when a change happened.
Yes. Each shop is crawled on its own - autodoc.de, autodoc.co.uk, auto-doc.fr, the Nordic, Baltic and Central European shops or the English-language versions - so every article number gets one price series per shop. Rows are also joined on article number and EAN, so one product can be compared across markets on the same day.
Yes. Product cards list the OE reference numbers each part is comparable with, grouped by carmaker, and the Alternatives block names other brands' equivalents. We deliver these as a cross-reference table, so one OE number leads to the matching aftermarket articles AUTODOC lists, each with its brand and price.
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.
AUTODOC data from €169/month. Free project assessment, reply within 1 business day.
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