Online store scraping

Scraping general online stores in Russia — price & assortment monitoring

General retail scraping in Russia: from electronics to groceries — one data structure.

5 stores in this list Category: general / Department Geography: Russia

General stores in Russia span several categories at once, and their catalogs are the most heterogeneous: electronics sits next to apparel and homeware. We bring such catalogs into one structure while preserving each department’s category attributes.

This list counts 5 stores; the leaders by domain authority: Komus, Sima-land, OfficeMag. We collect data from large multi-level catalogs and niche shops alike: everything lands in one structure, so prices and assortment compare directly.

Brands you will meet across these stores include HP, Canon, Brother, Erich Krause, Attache, Bic. 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: General / Department

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

01
Product

title, brand, category with tree path, URL

02
Prices

current and old price, discount, promo

03
Variants

sizes, colours, versions — where applicable

04
Availability

status, stock, delivery times

05
Attributes

card attributes according to product type

06
Reviews

rating and review count

why business needs it

Jobs this scraping gets done

Cross-category monitoring

Competitor prices across several departments at once.

Assortment map

The category tree and each department’s saturation.

Promo analytics

Discount campaigns and their depth by department.

Novelty monitoring

New categories and products as they appear.

Stores in this category in Russia

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

# Store Domain DR
1
Komus
komus.ru 71
2
Sima-land
sima-land.ru 71
3
OfficeMag
officemag.ru 66
4
Shopping Live
shoppinglive.ru 42
5
Chikiriki
chikiriki.ru 26

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.

Komus price monitoring

From Komus we usually extract product, prices, variants. The export arrives in the same structure as the rest of this list, so the data compares directly.

Sima-land scraper: what we collect

On Sima-land we track the catalog and prices — prices, variants — one-off or on a schedule. Delivered as a file, via API or straight into your database.

OfficeMag price monitoring

On OfficeMag we track the catalog and prices — variants, availability — one-off or on a schedule. Delivered as a file, via API or straight into your database.

Shopping Live scraper: what we collect

From Shopping Live we usually extract availability, attributes, reviews. The export arrives in the same structure as the rest of this list, so the data compares directly.

Scraping Chikiriki

On Chikiriki we track the catalog and prices — attributes, reviews — 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

Request & brief

Pick platforms from the list, define fields and cadence.

02

Data sample

We show the structure on a real catalog fragment, free.

03

Full collection

Entire catalogs, with quality and dedup control.

04

Data delivery

Excel, CSV, JSON, API or your DBMS — one-off or scheduled.

questions & answers

Frequently asked questions

Can we collect only part of the catalog?
Yes, collection can be limited to departments or categories — you pay only for the data you need.
How do you handle heterogeneous department attributes?
Common fields are normalised; category-specific attributes are preserved per product type — nothing is lost.
Is the feed comparable with niche stores?
Yes, the field structure matches our category feeds — department-store data compares directly with specialist stores.
request data

Need scraping of general online 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.