RRR.lt Scraper for Used Car Parts, Codes and Prices

Every 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

RRR.lt Scraper
Solutions

RRR.lt Scraping as a Managed Service

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.

RRR.lt Data Fields We Collect

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:

  • Part identity - the SKU the marketplace gives each listing, the part name, the category path from the breadcrumb, the part URL and the number of photos.
  • Part codes - Manufacturer code, OEM Code and Other codes in separate columns, so that OE numbers can be matched exactly or loosely.
  • Condition and fit - Condition (Used, New, With defects), Position such as Left front or Right, and the Seller comment in the dismantler's own language.
  • Price - the amount in euro, whether it reads Incl. VAT or VAT not applicable, the figure without VAT for VAT-registered sellers, and the note that a service fee is added.
  • Donor car - Make, Series, Model with its generation, Year, Engine capacity in cm3, Engine power in kW, Body type, Fuel type, Gearbox type, Driving wheels, Steering wheel position, Color, Engine code, Gearbox code, Mileage and the VIN code when the seller publishes it.
  • Seller - the dismantler's company name and country, the Top Seller status and the dispatch time promised on the page.
  • Offer badges - Free 14-Day Returns, Free return shipping and the Free 1-Year Warranty mark.

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.

RRR.lt Data Fields We Collect
Beyond the Part Page: What an RRR.lt Dataset Adds

Beyond the Part Page: What an RRR.lt Dataset Adds

A single page tells you what one dismantler asks for one part. The pages around it turn that into a market.

  • All offers for one code. Under each part RRR.lt lists more offers with the same manufacturer code, with the number of offers and the price range. A search by code returns the matching offers as cards, so one OE number becomes a table of every seller, price, donor car and mileage.
  • The donor car as an object. The link "View all parts" opens a page for the dismantled vehicle itself: its details, its VIN where the seller publishes one, the dismantler and every part still on sale from it.
  • Catalogue coverage. A category list is cut off at about ten thousand results however many parts the category holds, so we slice the crawl by make, model generation, leaf category and the filters the site offers - Item location, Quality, Part position, Model year, Listing date - and merge on the SKU.
  • Price history and sold parts. Nearly every used part exists once. Repeated runs record when a listing appeared, how its price moved and when it left the catalogue.
  • Country sites. The same listings are served on the Ovoko domains for Poland, Germany, France, Spain, Italy, Finland and Romania under local category names. The SKU in the address does not change, so rows join across them.

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.

About RRR.lt, the Lithuanian Storefront of Ovoko

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.

Get a Quote
dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

RRR.lt Scraping Plans and Pricing

Airplane

€199 / one-time

setup fee - included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.

Full plan details →

Why Scrape RRR.lt Part Listings

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.

  • Pricing for dismantlers and parts traders. Group offers by manufacturer code and compare the spread by condition, donor-car mileage and seller country before pricing your own stock.
  • Insurance and repair estimating. A table of used prices per OE number supports green-parts quotes and total-loss calculations.
  • Cross-reference work. The Other codes line ties one physical part to several numbers, which helps catalogue teams map alternatives.
  • Supply by vehicle. Counting donor cars by model, year and engine code shows which vehicles are reaching dismantling yards and which of their parts are still unsold.
  • Cross-border sourcing. Seller country against price shows where a part is cheap enough to be worth shipping to another market.
  • Seller benchmarking. Listings per dismantler, the share with photos and complete codes, and the Top Seller mark describe how competitors present their stock.

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About ScrapeIt

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.

FAQ

Do you offer an RRR.lt API for part and price data?

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.

Is it legal to scrape RRR.lt?

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.

Can you scrape RRR.lt by OE number or by car model?

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.

Which countries do RRR.lt sellers ship from?

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.

How often does an RRR.lt dataset need refreshing?

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.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
Which sites, which fields, how often. A couple of lines is enough.

We reply within 1 business day. No obligation.

RRR.lt data from €169/month. Free project assessment, reply within 1 business day.

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