Scraping global platforms: General / Department
Department and multi-category stores worldwide: catalogs, prices and stock across all departments.
General stores worldwide 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 37 stores; the leaders by domain authority: Walmart Canada, Walmart, Costco Canada. 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 LEGO, Barbie, Samsung, Apple, Nike, Adidas. 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.
Fields we collect: General / Department
The baseline set for this category — extended to fit your task.
title, brand, category with tree path, URL
current and old price, discount, promo
sizes, colours, versions — where applicable
status, stock, delivery times
card attributes according to product type
rating and review count
Jobs this scraping gets done
Competitor prices across several departments at once.
The category tree and each department’s saturation.
Discount campaigns and their depth by department.
New categories and products as they appear.
Stores in this category worldwide
Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.
| # | Store | DR |
|---|---|---|
| 1 | Walmart Canada |
80 |
| 2 | Walmart |
78 |
| 3 | Costco Canada |
77 |
| 4 | Clas Ohlson |
75 |
| 5 | Falabella Perú |
73 |
| 6 | Flying Tiger Copenhagen |
73 |
| 7 | Falabella Colombia |
72 |
| 8 | Sears |
72 |
| 9 | Vistaprint |
70 |
| 10 | El Corte Inglés |
68 |
| 11 | Ripley Perú |
68 |
| 12 | Costco Australia |
66 |
| 13 | Office Depot |
66 |
| 14 | QVC |
66 |
| 15 | QVC UK |
66 |
| 16 | Costco Korea |
60 |
| 17 | Groupon |
60 |
| 18 | Kmart New Zealand |
59 |
| 19 | PriceSmart |
59 |
| 20 | OTTO Österreich |
56 |
| 21 | QVC |
53 |
| 22 | vidaXL |
53 |
| 23 | Galaxus |
52 |
| 24 | vidaXL |
49 |
| 25 | Tchibo |
48 |
| 26 | Tchibo |
47 |
| 27 | Tchibo/Eduscho |
47 |
| 28 | vidaXL |
46 |
| 29 | Coppel Argentina |
43 |
| 30 | Vivantis |
41 |
| 31 | Littlewoods Ireland |
40 |
| 32 | Pepco |
40 |
| 33 | Coolshop |
36 |
| 34 | Veepee |
32 |
| 35 | Marks & Spencer Ireland |
29 |
| 36 | SOGO Indonesia |
21 |
| 37 | Central Department Store |
17 |
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.
For Clas Ohlson we set up recurring collection: product, prices, variants. Cadence ranges from a one-off export to several refreshes a day.
On Flying Tiger Copenhagen 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.
For Falabella Colombia we collect variants, availability — with change history — useful for repricing and assortment control.
For Vistaprint we set up recurring collection: availability, attributes, reviews. Cadence ranges from a one-off export to several refreshes a day.
For El Corte Inglés we set up recurring collection: attributes, reviews, product. Cadence ranges from a one-off export to several refreshes a day.
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
Can we collect only part of the catalog?
How do you handle heterogeneous department attributes?
Is the feed comparable with niche stores?
Other categories: Global market
Store scraping for other categories in the same geography.