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Platform · MediaMarkt

MediaMarkt Data Scraping

Two questions come before the price: who is selling it, and which shop the price came from.

MediaMarkt data scraping covers product, price and availability data from Europe's largest consumer electronics retailer, part of Ceconomy. Two things decide what a price means. MediaMarkt runs a marketplace, so a listing may be another seller's under that seller's own terms, and seller_name is on every row. And a store's price is not assumed to be the online price; where the site asks for a store, the store is part of the record.

A MediaMarkt price is only half an observation until the seller and the channel are attached to it.

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

mediamarkt_sample.jsonl LIVE FEED
{"offer_id":"o-1","seller_name":"MediaMarkt","seller_type":"own","price":899.00,"channel":"online"} {"offer_id":"o-2","seller_name":"example seller GmbH","seller_type":"marketplace","price":879.00} {"note":"own and marketplace offers never averaged"}
illustrative sample rows · DEseller and channel before price · schema v1.0

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

Our Data Powers
B2C Marketplace
amazon
D2C + Marketplace
NYKAA
D2C + Marketplace
Walmart
FMCG Marketplace
udaan
Food Delivery
Uber Eats
Quick Commerce
blinkit
Taxi Aggregator
Uber
E-Commerce
Tmall
MediaMarkt at a glance

How we handle MediaMarkt specifically

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

Retailer
MediaMarkt — Ceconomy group
Markets
Many European countries, one site each
Marketplace
Third-party sellers beside own stock
So
seller_name on every row
Store vs online
Not assumed equal; store context recorded
Italy
Trades as MediaWorld
Ownership
JD.com offer pending, not completed (Sept 2026)
Refresh
Daily; hourly around sale events
Platform specifics

Who is selling, and from where

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

Marketplace offers are someone else's

The MediaMarktSaturn marketplace lets third-party sellers list alongside MediaMarkt's own stock. Their offers carry their own seller name and their own terms.

  • seller_name and seller_type on every offer.
  • Delivery, returns and warranty terms follow the seller, and are recorded per offer.
  • A product page can show several offers. The one displayed first is the platform's choice, and we do not model it.
  • Marketplace depth by category is a measured share, not an estimate.

So a MediaMarkt price series is MediaMarkt's own offers unless you ask for marketplace offers too, and the two are never averaged together.

Store, country and the group

Store and online

Store prices and online prices at MediaMarkt have not always been the same, and we do not assume they are. Where the site asks for a store, store_context is recorded, and an online price is labelled as online.

One site per country

Each country is its own site, range, currency and VAT. Italy trades as MediaWorld — see our MediaWorld page.

Saturn and ownership

In Germany, Saturn's remaining stores are becoming MediaMarkt while saturn.de stays online — our Saturn page covers the overlap. JD.com's offer for Ceconomy was still awaiting approvals in September 2026. Ownership does not change how a price is recorded, so nothing here depends on it.

What we do not do

Average own and marketplace offers, assume online equals store, or model which offer is shown first.

Scope

What we collect on MediaMarkt, 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

  • seller_name and seller_type on every offer
  • Own offers and marketplace offers kept in separate series
  • Seller terms recorded per offer
  • store_context wherever the site asks for a store
  • One market per country site, never converted
  • Marketplace depth by category as a measured share
  • Model numbers exactly as published
  • Was-prices recorded with their stated basis
  • Hourly collection around major sale events

❌ What we do not, and why

  • Own and marketplace offers averaged together
  • A store price assumed equal to the online price
  • Modelling which offer is displayed first
  • Currencies converted across countries
  • Account or customer data

Core MediaMarkt fields

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

FieldWhat it is on this platform
product_id / model_number / brandAs published
marketCountry site
offer_id / seller_name / seller_typeWho is selling
price / currencyAs displayed
channel / store_contextOnline, or the store selected
was_price / was_price_basis_textAs displayed
seller_termsDelivery, returns, warranty per offer
offer_countOffers shown for the product
stock_statusAs displayed
marketplace_shareBy category, measured
observed_atTimestamp
Use cases

What teams do with MediaMarkt data

Own-price monitoring

MediaMarkt's own offers as a clean series, country by country.

Marketplace intelligence

Which sellers list in which categories, at what prices, as a measured share.

Channel comparison

Online and store-selected prices side by side, each labelled.

Pan-European price comparison

One model across country sites, in local currency.

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

Send us a MediaMarkt 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

REST endpoints on the same pipeline, with sandbox keys for testing.

  • 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 fixed-scope extraction for a single project or research question.

  • 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

Pricing is quoted individually, based on category scope, number of markets, cadence and ongoing identity maintenance. After a scoping call and free pilot, we quote a fixed monthly figure, with no per-request metering.

Book a 20-min scoping call Request a quote Talk to an engineer

MediaMarkt is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. MediaMarkt 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 consumer electronics data covers, and a MediaMarkt-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

MediaMarkt data scraping: frequently asked questions

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

No. The marketplace lets other sellers list beside MediaMarkt's own stock. Every offer carries its seller.

We do not assume so. Where the site asks for a store, the store is recorded; otherwise the price is labelled as online.

Not for the data. JD.com's offer was still awaiting approvals in September 2026, and ownership does not change how a price is recorded.

Each country is its own site and scoped separately. Italy is MediaWorld.

Saturn's stores are becoming MediaMarkt, and saturn.de stays online. We measure the overlap before collecting both.

It depends on countries, categories and whether marketplace offers are included. A one-country category pilot is the usual start.

Talk to us.

See real MediaMarkt 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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