Scraping book stores in Lithuania — price & assortment monitoring
Book retail scraping in Lithuania: new releases, bestsellers, formats and prices in one base.
In books and media release speed matters: print runs, pre-orders, exclusives. Scheduled collection across stores in Lithuania captures new editions and price moves — data for publishers, aggregators and analysts.
This list counts 5 stores; the leaders by domain authority: Bilietai.lt, Knygos.lt, PatoguPirkti. We collect data from large multi-level catalogs and niche shops alike: everything lands in one structure, so prices and assortment compare directly.
Delivery is tailored to the task: from a one-off Excel/CSV file to a stream of updates via API or into your DBMS. We start with a free data sample — you verify structure and quality before any payment.
Fields we collect: Books & Media
The baseline set for this category — extended to fit your task.
title, author, ISBN, publisher, series
binding, e-book, audio, language
current and old price, pre-order, discount
status, delivery times, print run
annotation, page count, year
rating and number of ratings
Jobs this scraping gets done
Edition prices across stores, matched by ISBN.
New editions and pre-orders by publisher.
Catalog depth by genre and language.
A publisher’s catalog presence across chains.
Stores in this category in Lithuania
Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.
| # | Store | DR |
|---|---|---|
| 1 | Bilietai.lt |
73 |
| 2 | Knygos.lt |
70 |
| 3 | PatoguPirkti |
63 |
| 4 | Vaga |
56 |
| 5 | Humanitas |
41 |
DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.
Top platforms: what gets scraped
Quick notes on the leaders of this list — any of them can be plugged into the same field structure.
From Bilietai.lt we usually extract edition, format, prices. The export arrives in the same structure as the rest of this list, so the data compares directly.
For Knygos.lt we set up recurring collection: format, prices, availability. Cadence ranges from a one-off export to several refreshes a day.
For PatoguPirkti we set up recurring collection: prices, availability, description. Cadence ranges from a one-off export to several refreshes a day.
For Vaga we set up recurring collection: availability, description, reviews. Cadence ranges from a one-off export to several refreshes a day.
For Humanitas we collect description, reviews — with change history — useful for repricing and assortment control.
From request to first delivery
Scope the task
We fix the stores, fields, catalog depth and refresh frequency.
Free sample
A data fragment in the agreed structure — before any payment.
Collect & validate
Full collection with completeness and consistency checks.
Deliver & refresh
File, API or database — refreshed on your schedule.
Frequently asked questions
Do you match editions by ISBN?
Are e-books and audiobooks covered?
Can we follow specific publishers?
Other categories: Lithuania
Store scraping for other categories in the same geography.