Online store scraping

Scraping grocery stores in Russia — price & assortment monitoring

Prices and assortment of online supermarkets in Russia: pack sizes, promos, availability by delivery zone.

17 stores in this list Category: grocery & Food Geography: Russia

In groceries comparability decides: every chain packs differently. We normalize pack sizes and compute price per kilo/liter for each supermarket item in Russia — chain baskets become directly comparable.

There are 17 platforms here, led by Yandex Lavka, Kuper, Lenta 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.

Shelves in this list carry Danone, PepsiCo, Coca-Cola, Nestlé, Nestle, Nescafé and other brands — every product is linked to its brand in the feed, so you can track brand presence and pricing across sellers.

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.

data structure

Fields we collect: Grocery & Food

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

01
Product

title, brand, category, barcode, URL

02
Weight & unit price

pack size, price per kg/l/pc

03
Prices & promo

regular and promo price, loyalty-card price

04
Ingredients & nutrition

composition, nutrition facts, allergens

05
Shelf life

expiry information, storage conditions

06
Availability

stock by delivery zone and store

why business needs it

Jobs this scraping gets done

Basket monitoring

Daily price comparison of key items across chains.

Promo analytics

Who discounts what, and how deep, week by week.

Shelf control

Your products’ presence and prices across chains.

Price indices

Your own price indices by category and region.

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
Yandex Lavka
lavka.yandex.ru 94
2
Kuper
kuper.ru 74
3
Lenta
lenta.com 73
4
Magnit
magnit.ru 73
5
VkusVill
vkusvill.ru 73
6
Perekrestok
perekrestok.ru 72
7
Pyaterochka
5ka.ru 72
8
Auchan
auchan.ru 71
9
Metro
metro-cc.ru 71
10
Azbuka Vkusa
av.ru 70
11
Samokat
samokat.ru 69
12
Vprok Perekrestok
vprok.ru 66
13
Dixy
dixy.ru 62
14
O'Key
okeydostavka.ru 59
15
SPAR
myspar.ru 53
16
WineLab
winelab.ru 45
17
CoolClever
coolclever.ru 42

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.

Yandex Lavka price monitoring

From Yandex Lavka we usually extract product, weight & unit price, prices & promo. The export arrives in the same structure as the rest of this list, so the data compares directly.

Scraping Kuper

From Kuper we usually extract weight & unit price, prices & promo, ingredients & nutrition. The export arrives in the same structure as the rest of this list, so the data compares directly.

Lenta data: catalog and prices

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

Magnit data: catalog and prices

From Magnit we usually extract ingredients & nutrition, shelf life, availability. The export arrives in the same structure as the rest of this list, so the data compares directly.

VkusVill scraper: what we collect

On VkusVill we track the catalog and prices — shelf life, availability — 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

How often can grocery prices be refreshed?
Daily is routine; key items can be checked several times a day. For baskets and indices one snapshot per day is usually enough.
Do you capture loyalty-card prices?
Yes, we log both prices — base and loyalty — plus promo flags and validity dates.
Can different chains be compared on identical products?
Yes, we match items by barcode and normalized title with pack size — giving direct unit-price comparison.
request data

Need scraping of grocery 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.