Online store scraping

Scraping beauty stores in Lithuania — price & assortment monitoring

Cosmetics and perfume catalogs in Lithuania: prices, volumes, product lines and availability — one data structure.

3 stores in this list Category: cosmetics & Perfume Geography: Lithuania

In beauty retail in Lithuania product lines and volumes decide: the same fragrance or cream sells in several formats with different price-per-ml. We collect cards with variants and ingredients so store comparison is honest — at the exact-volume level.

There are 3 platforms here, led by Notino, Drogas, Douglas by domain authority. Site size is not a constraint: catalogs with hundreds of thousands of SKUs and small stores are normalized to the same field schema, making sellers directly comparable.

Brands you will meet across these stores include Chanel, Dior, Giorgio Armani, Hugo Boss, Calvin Klein, Prekių ženklai. The product-to-brand mapping ships with the data: convenient for distribution control and shelf comparison.

We deliver data the way you need it: one-off price scraping or scheduled refresh, in Excel, CSV, JSON, XML, Google Sheets, REST API or straight into your database. We agree the field structure upfront and send a free sample first.

data structure

Fields we collect: Cosmetics & Perfume

The baseline set for this category — extended to fit your task.

01
Product & line

title, brand, line, product type, URL

02
Volume variants

ml/g, price per format, price per unit of volume

03
Prices & promo

current and old price, sets, gifts with purchase

04
Ingredients

INCI list, actives, purpose

05
Availability

format availability, chain exclusives

06
Reviews

rating, review count, Q&A

why business needs it

Jobs this scraping gets done

Price monitoring

Price-per-volume comparison across brands and chains.

Shelf control

Which chains carry your brand — and the full line or not.

Promo analytics

Who discounts, how deep, and which set mechanics run.

Niche discovery

Under-served segments and brands without distribution.

Stores in this category in Lithuania

Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.

# Store Domain DR
1
Notino
notino.lt 54
2
Drogas
drogas.lt 44
3
Douglas
douglas.lt 43

DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.

top platforms

Top platforms: what gets scraped

Quick notes on the leaders of this list — any of them can be plugged into the same field structure.

Notino scraper: what we collect

For Notino we set up recurring collection: product & line, volume variants, prices & promo. Cadence ranges from a one-off export to several refreshes a day.

Scraping Drogas

For Drogas we collect volume variants, prices & promo — with change history — useful for repricing and assortment control.

Douglas price monitoring

On Douglas we track the catalog and prices — prices & promo, ingredients — one-off or on a schedule. Delivered as a file, via API or straight into your database.

how we work

From request to first delivery

01

Scope the task

We fix the stores, fields, catalog depth and refresh frequency.

02

Free sample

A data fragment in the agreed structure — before any payment.

03

Collect & validate

Full collection with completeness and consistency checks.

04

Deliver & refresh

File, API or database — refreshed on your schedule.

questions & answers

Frequently asked questions

Do you account for different volumes of one product?
Yes, each volume variant is a separate record with its price; we also compute price per ml/g for honest comparison.
Can ingredient lists be collected?
Yes, we take INCI lists from cards wherever the store publishes them — a frequent request from manufacturers and analysts.
Do you track gift sets and promo mechanics?
Yes, we log sets, gifts with purchase and promo flags — the chain’s whole promo activity is visible by date.
request data

Need scraping of beauty stores?

Describe the task — we will set up a price scraper for it, propose the field set and refresh cadence, and send a free data sample for the stores you pick.

We'll respond within one business day.