Online store scraping

Scraping grocery stores in Denmark — price & assortment monitoring

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

4 stores in this list Category: grocery & Food Geography: Denmark

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

There are 4 platforms here, led by Coop, Rema 1000, nemlig.com 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 Arla, Coca-Cola, Coop, Anglamark, Nestle, Nestlé 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 Denmark

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

# Store Domain DR
1
Coop
coop.dk 76
2
Rema 1000
rema1000.dk 72
3
nemlig.com
nemlig.com 71
4
føtex
foetex.dk 69

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.

Coop price monitoring

For Coop we set up recurring collection: product, weight & unit price, prices & promo. Cadence ranges from a one-off export to several refreshes a day.

Rema 1000 data: catalog and prices

For Rema 1000 we set up recurring collection: weight & unit price, prices & promo, ingredients & nutrition. Cadence ranges from a one-off export to several refreshes a day.

Scraping nemlig.com

For nemlig.com we set up recurring collection: prices & promo, ingredients & nutrition, shelf life. Cadence ranges from a one-off export to several refreshes a day.

føtex scraper: what we collect

For føtex we set up recurring collection: ingredients & nutrition, shelf life, availability. Cadence ranges from a one-off export to several refreshes a day.

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.