Online store scraping

Scraping general online stores in the Netherlands — price & assortment monitoring

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

10 stores in this list Category: general / Department Geography: Netherlands

General stores in the Netherlands 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 10 stores; the leaders by domain authority: Action, HEMA, Flying Tiger Copenhagen. 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 Philips, Tommy Hilfiger, Calvin Klein, Tefal, WMF, Brabantia. 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 the Netherlands

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

# Store Domain DR
1
Action
action.com 76
2
HEMA
hema.nl 76
3
Flying Tiger Copenhagen
flyingtiger.com 73
4
Wehkamp
wehkamp.nl 73
5
Blokker
blokker.nl 66
6
Xenos
xenos.nl 60
7
Wibra
wibra.nl 50
8
Marskramer
marskramer.nl 44
9
De Bijenkorf
bijenkorf.nl 37
10
Coolshop
coolshop.nl 36

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.

Action data: catalog and prices

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

HEMA price monitoring

For HEMA we collect prices, variants — with change history — useful for repricing and assortment control.

Flying Tiger Copenhagen data: catalog and prices

From Flying Tiger Copenhagen we usually extract variants, availability, attributes. The export arrives in the same structure as the rest of this list, so the data compares directly.

Wehkamp scraper: what we collect

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

Scraping Blokker

For Blokker we collect attributes, reviews — with change history — useful for repricing and assortment control.

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.