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Learn MoreA Pigu.lt product page names one seller in the buy box and lists the other sellers' offers beneath it. Our Pigu scraper collects them all, with prices, for the products you need.
Plans from €169/month · Free project assessment · Reply within 1 business day
We operate the Pigu.lt scraper for you: you name the categories, brands, sellers or a list of product ids, and we return the data on the dates you choose. Writing the crawler, keeping it alive when Pigu changes a template, and the anti-bot side of the job - pacing, proxy rotation, rendering and CAPTCHA handling - stay with us.
A product page shows only the first few competing offers and keeps the rest behind a "show more sellers" control, so our crawler opens the full list before it reads the prices. A free assessment comes first and a sample if you ask for one, then single or scheduled runs delivered as CSV, Excel, JSON or XML to SFTP, Amazon S3, Google Drive or your database.
Each Pigu product has a numeric id that sits in the address after ?id= and is printed again on the page as the product ID; the Lithuanian and Russian versions of a page share it. We return one row per product with the buy box offer, and one row per additional seller where the page lists them.
Category and search pages add the listing view: position, badges such as "Atsiimk rytoj" for next-day collection, price, old price and review count. Lists can be narrowed by seller, seller country, brand, rating and delivery speed - and by condition in categories such as laptops - before they are crawled.
A product page is a snapshot of a contest between sellers. A Pigu price tracker revisits the same product ids on a schedule and keeps, for every date, who held the buy box, at what regular and PLUS price, and what each other seller was asking - a price line per seller, not just per product.
Pigu's sister sites - 220.lv in Latvia and kaup24.ee in Estonia - belong to the same group and can be added as separate crawls, each delivered with a country column.
Pigu.lt is a Lithuanian online department store that turned into a marketplace. The shop opened in 2008 and has let other businesses sell on its pages since 2019; it now describes its range as millions of products from 3400 sellers. Pigu itself sells alongside them and appears in the seller filter next to the shops it hosts.
The operator, UAB Pigu, took over 220.lv in Latvia and the shop now called kaup24.ee in Estonia, and in 2021 merged with Finland's Hobby Hall to form PHH Group, which also runs hobbyhall.fi. For a data buyer that means one group covering the three Baltic states under three different shop names.
The catalogue goes far beyond electronics: appliances, furniture, toys, clothing, perfume, tools, car parts, garden goods, books and food. Sellers come from Lithuania, Latvia, Estonia and further away, and the seller's country is stated on every product. Delivery is part of the listing: Pigu has stores and pickup points of its own, labels items that can be collected the next day, and lets shoppers filter a category by the number of days delivery takes. Loyalty is priced in as well - Pigu PLUS members see a lower price on many products, and purchases earn PiguEurai.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →On Pigu.lt Baltic online prices are set in the open: several sellers on one product, each price visible, and the winner named.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a web scraping agency that hands over finished datasets rather than software. We write the crawler for the site you name, operate it, check the output and fix it when the source changes.
Multi-seller marketplaces such as Pigu.lt are routine work for us: the offer list has to be opened in full, each seller matched to a stable name, and prices compared from run to run. We work from public pages without logging in and treat personal data as GDPR requires.
Yes. The ScrapeIt Pigu API returns product id, name, regular price, Pigu PLUS price, the buy box shop, the other sellers with their prices and the delivery date in JSON from a hosted endpoint, updated as often as you schedule. If you prefer files, the same dataset is delivered as CSV, XLSX or JSONLines, or loaded into your database.
Yes. Prices, shop names, ratings, delivery dates and product attributes on Pigu.lt are visible to any visitor without an account. We collect only publicly available data - everything a visitor can see on Pigu - and we collect it legally. Sellers are businesses, so their shop names are included.
Yes. Product reviews come with date, star rating, text, helpful votes and the shop the purchase was made from. Seller pages give the rating, the number of buyer ratings and the share of buyers who recommend the shop. Reviewer names are personal data and are excluded by default.
Yes. Where several shops sell the same product, Pigu names one seller in the buy box and lists the others with their prices underneath. We open the full list and return one row per seller, so a product with four sellers gives four rows sharing one product id.
Yes, as separate crawls. They are the Latvian and Estonian shops of the group that runs Pigu.lt, each on its own domain and in its own language. We deliver them in the same column layout with a country field, so Baltic prices can be compared in one file.
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.
Pigu data from €169/month. Free project assessment, reply within 1 business day.
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