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 part on RRR.lt is tied to the car it was taken from and to the dismantler selling it. Our RRR.lt scraper delivers parts, codes, prices and donor cars as one table.
Plans from €169/month · Free project assessment · Reply within 1 business day
You tell us which slice of the catalogue you need - a list of OE numbers, a set of makes and models, whole categories such as Lighting system or Gearbox/clutch/transmission, or everything offered by sellers in chosen countries - and how often it should be refreshed. The crawlers for RRR.lt are ours to build, run and repair whenever the site changes its pages. Anti-bot handling, pacing, proxy rotation and rendering are part of the service, so there is nothing to install or maintain on your side.
Work starts with a free assessment of your code list or category scope; a sample can follow. Each delivery arrives with field documentation, as CSV, Excel or JSON files, through our API or as a load into your database, one-off or on a daily or weekly schedule. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
The part page is built around three codes and one car. RRR.lt prints a Manufacturer code, an OEM Code and a line of Other codes for the part, then a block called Car details for the vehicle it came off. We keep every label as a column, one row per part:
Sellers are businesses, so their names and countries belong in the dataset. VINs and part codes are vehicle and part identifiers and are delivered character for character. Cells a seller left empty stay empty: many listings carry a dash in place of the OEM Code or give no mileage, and we do not fill gaps with guesses.
A single page tells you what one dismantler asks for one part. The pages around it turn that into a market.
Trade prices of the Pro programme for workshops and fleets sit behind a business account. We never log in, so the dataset holds the prices every visitor sees.
RRR.lt is a marketplace for used car parts, developed by the Lithuanian company UAB Ovoko. It holds no stock of its own: the catalogue is the combined inventory of dismantling yards and parts dealers, and the home page counts sellers in the thousands and parts in the tens of millions. Buyers pay on the site and the dismantler ships; the marketplace adds a service fee and a 14-day return window to the order.
The domain carries four language versions - Lithuanian, English, Russian and Latvian. The region menu then hands visitors over to Ovoko.pl, Ovoko.de, Ovoko.fr, Ovoko.es, Ovoko.it, Ovoko.fi and Ovoko.ro, where the listings reappear under translated names. Sellers are spread well beyond Lithuania: the Item location filter lists twenty countries, and headlights alone are offered by dismantlers in Poland, Estonia, Finland and France.
There are three ways into the catalogue. By vehicle: make, then series, then a model generation with its production years. By part: a tree of categories three levels deep, from Lighting system through Headlight/headlamp down to items like Xenon bulb or Headlight level adjustment motor. By code: a search box that accepts a part number, and the Spare parts code list, an index page of the codes present on the site. A fourth object, the dismantled car, ties the three together.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Used parts have no list price. What a ten-year-old headlight is worth is whatever dismantlers across Europe ask for it this week, and RRR.lt puts those asking prices next to the part number and the donor car.
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 web scraping agency. You describe the parts data you need; we write the crawlers, keep them running and hand over the dataset. A parts marketplace is a demanding source - millions of near-identical listings, identifiers that must survive untouched, and stock that disappears the moment it sells.
For RRR.lt that means codes delivered exactly as printed, one row per SKU, and a schedule tight enough to catch a part before it is gone. Personal data is handled under GDPR, and we do not sell dossiers on people or personal contact lists.
Yes. The ScrapeIt RRR.lt API returns SKU, manufacturer code, OEM code, price with its VAT status, donor car and seller country 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. Part pages, codes, prices, donor car details and the names of the companies selling them are open to every visitor without an account. We collect only publicly available data - everything a visitor can see on RRR.lt - and we collect it legally. Sellers are businesses and are collected with their names and countries; personal data is handled under GDPR.
Yes, both. Give us a list of part numbers and we run the site's code search for each, returning every offer with its price, seller and donor car. Or name makes, model generations and categories, and we walk the catalogue from the vehicle side. The two approaches can be combined in one project.
The Item location filter lists twenty countries, starting with Lithuania, Latvia and Estonia, and each part page names the country of the dismantler. We keep that country in its own column, so a dataset can be limited to chosen origins or used to compare prices between them.
It depends on the use. Every used part is a single item that leaves the catalogue when it sells, and the home page runs a feed of the latest ads, so stock turns over all the time. Price benchmarks by OE number hold up with a weekly run; tracking what sold and how fast needs a daily one. The Listing date filter lets a run pick up only parts added since the last pass.
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.
RRR.lt data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
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