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Platform · Vinmonopolet

Vinmonopolet Data

Prices change on the first of the month here, so a weekly series records the change late.

Vinmonopolet is Norway's retail monopoly and the most open of the three Nordic systems: it runs a documented product API that its own data-sharing page states needs no application, and it publishes sales statistics separately — half-yearly litres per store by category and monthly sales by article. Price changes land on the first of a month and can touch a very large part of the catalogue at once, so the collection calendar is built around that date. Jurisdiction, channel and the price surface sit on every record, the SKU key carries vintage or age statement, format and ABV, and no age gate is passed by misrepresenting who is asking.

Range code decides whether a product is stocked or ordered in, and it belongs on every record.

Free pilot on your own Vinmonopolet list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

vinmonopolet_sample.jsonl LIVE FEED
{"range_code":"basis","price":149.90,"currency":"NOK","price_effective_date":"2026-09-01"} {"range_code":"order","store_stock":"null"} {"sales_series":"litres by category","period":"2026-H1","attributed":true}
illustrative sample rows · NOdated by design · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Vinmonopolet or its owners. Vinmonopolet and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Vinmonopolet at a glance

How we handle Vinmonopolet specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

API
Open product API, no application stated
Price
One national price
Changes
On the first of a month
Ranges
Basis, order and additional ranges
Sales data
Published separately by store and article
Stock
Per store
Prices and sales
Never merged
Refresh
Monthly on price, daily on stock
Platform specifics

Ranges and change dates

These are the reasons a Vinmonopolet dataset needs its own handling rather than a shared retail schema.

Range codes

A range code is not a category. It says whether a product is stocked, ordered in, or under test, and that changes what availability means.

  • range_code on every product.
  • price_effective_date aligned to the monthly change.
  • store_stock as its own record.
  • sales_series kept in a separate table from prices.

Published statistics, and what we do not do

Published statistics

Sales statistics published by the monopoly are attributed to it and never blended into a price series. See our Alko page.

Price surfaces

Per-litre normalisation is carried beside the observed price rather than replacing it, and the jurisdiction that produced the price stays on the record, as the wine, spirits and liquor hub describes.

What we do not do

Blend sales statistics into prices, miss the change date and backdate a price, use a closed feed without entitlement, or collect customer information.

Scope

What we collect on Vinmonopolet, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

  • Range code on every product
  • Effective date on every price
  • Collection aligned to change dates
  • Store stock separate
  • Sales statistics attributed
  • Prices and sales kept apart
  • Per-litre beside observed price
  • Official terms respected
  • Monthly price refresh

❌ What we do not, and why

  • Sales blended into prices
  • Backdated prices
  • Closed feeds without entitlement
  • Customer information
  • Range codes dropped

Core Vinmonopolet fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

FieldWhat it is on this platform
sku_keyProducer, product, vintage, format, ABV
range_codeBasis, order, additional, test
price / price_effective_dateNational, dated
price_per_litreDerived
abv_pct / volume_mlAs published
category / origin_regionAs published
store_stock / store_idSeparate record
sales_series / periodAttributed, separate
packaging / closureWhere published
listed / delisted_atPresence
source / captured_atPer record
Use cases

What teams do with Vinmonopolet data

Price cycles

Monthly changes across the catalogue.

Range analysis

Stocked against order-in listings.

Launch tracking

New products by range.

Market context

Published sales beside listings.

The 24-hour sample — run on your sources, not ours

Send us a Vinmonopolet item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

  • Real extraction from your actual sources
  • Returned within 24 hours
  • Coverage and QA note included
  • You keep the data either way
  • No card, no trial clock
  • Named engineer on the call
Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.
How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

  • Dedicated engineer assigned to your account
  • Site changes fixed by us, not reported to you
  • Scheduled delivery to your warehouse or S3
  • Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

  • On-demand and scheduled endpoints
  • Rate limits agreed to your load profile
  • Sandbox keys for integration testing
  • Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

  • Fixed scope agreed in writing upfront
  • Single delivery with full QA report
  • Methodology documented for your records
  • Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Vinmonopolet is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Vinmonopolet data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what wine, spirits & liquor data covers, and a Vinmonopolet-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Vinmonopolet data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

The monopoly publishes one and states it needs no application.

On the first of a month, often across a large part of the catalogue.

No. They are separate tables with separate sources.

It says whether a product is stocked, ordered in or under test.

Yes, per store, as its own record.

It depends on catalogue depth and cadence.

Talk to us.

See real Vinmonopolet data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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