We build and run the MediaMarkt scraper, then hand over clean product and price data from mediamarkt.de as CSV, JSON, XLSX or an API on your schedule.
Plans from €169/month · Free project assessment · Reply within 1 business day
We run the crawl and hand over the result. Output arrives as CSV, XLSX, JSON or an API endpoint, on the schedule the project needs - one-off, weekly, daily, or several times a day for a price-sensitive watchlist. Before a full run we extract a sample from your categories so the field list can be corrected while changing it is still cheap.
Scope is yours to set: one category tree, one brand, a list of Artikelnummern, or the whole German catalogue. Where a category is too large to walk in a single pass we split it by brand and filter facet so the long tail is not lost. We watch the site for layout changes and repair the parsers when they land, so the schedule holds. If the same project also needs Saturn or another German retailer, the same pipeline covers it and the columns line up.
The product detail page is where most of the value sits. The German labels below are the strings a crawler matches, so they are quoted as they appear on the site.
Product URLs follow a stable shape, /de/product/_slug-artikelnummer.html, so an identifier can be read out of a link without loading the page. We collect public product and pricing data only, and no customer data.
Three structures on mediamarkt.de repay attention because they are regulated. Regulated means consistent, and consistency is what makes a field worth having.
The EU energy label. MediaMarkt states that the energy class appears on the detail page of every device required to carry one, that clicking the class logo opens the full Energielabel, and that the Produktdatenblatt (product information sheet) sits below the class where the law requires it. The label has run on an A to G scale since the 2021 rescaling. The sheet behind it holds measured figures in a fixed layout. We return the class as a field and the label and sheet as documents.
The prior-price reference. Since May 2022, German price indication rules have required an advertised reduction to reference the lowest total price charged in the previous 30 days. A struck-through figure beside a reduced price is therefore a regulated statement rather than a list price, and we keep it in its own column with the percentage, so a discount can be audited instead of assumed.
The seller line. MediaMarkt runs a Marketplace. Its help centre explains that the "Verkauf und Versand durch ..." note beside the price says whether a third party is selling the item and names which one. We flag every row as own stock or Marketplace and carry the seller name, because a price series that silently mixes the two is not a price series.
MediaMarkt sells consumer electronics and household appliances in Germany through mediamarkt.de and a network of stores. The chain was founded in Munich in 1979 and trades today under the MediaMarktSaturn umbrella, alongside its sibling banner Saturn. The German site runs in German and prices in EUR.
Two things about that structure decide how scraping mediamarkt.de should be scoped. The first is the store. MediaMarkt's own help centre says that, because of the way the company is organised, assortments and prices can differ between its individual Märkte and the online shop. The site lets a visitor set a preferred Markt in the header or directly on the product page at the Verfügbarkeitsanzeige (availability display), and that choice changes what the page says about local stock. It does not print a separate shelf price for that store. So the site gives you one online price plus per-store availability, and the figure on a shelf in Dortmund is not a number mediamarkt.de exposes. Any comparison built on this data should be labelled online price, because that is what it is.
The second is Saturn. MediaMarkt and Saturn are separate domains with overlapping ranges and a shared back office - the two help centres even serve the same numbered answer articles under different brands. A crawl of mediamarkt.de returns nothing from saturn.de. A project that needs both banners needs two jobs and a matching step on a manufacturer identifier rather than on either site's own article number.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Most requests to scrape MediaMarkt come from one of four desks.
Brands watching their own listings. A manufacturer wants to know what its models sell for this week, whether the struck-through reference figure has moved, and whether a Marketplace seller is undercutting the retailer's own offer on the same page.
Competing retailers. German electronics pricing moves in campaign waves, and a competitor set that includes MediaMarkt needs the same fields on the same schedule as the rest of the set. The store caveat matters here. A MediaMarkt price collected online is a national online price, not the figure a shopper sees in a Markt, and a comparison that pretends otherwise will be argued with by whoever it is shown to.
Range planning. Category buyers read the catalogue to see which models are listed, which have quietly disappeared, and how thoroughly the specification blocks are filled in for a segment they are about to enter.
Content and feed teams. Technische Daten, energy class and images close gaps in a product information system faster than chasing manufacturers for datasheets.
A cosmetics company got monthly prices and promotions from 40+ beauty stores in 15+ countries, translated to English and fed into its existing import.
Learn More
A consultancy working for a fragrance brand owner got sellers, official-store flags and USD prices for 25 fragrances on about 30 marketplaces in 12 countries.
Learn More
Three Amazon US lighting categories collected in full for a lighting manufacturer, with description text and images from brand content blocks.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Ten German ecommerce websites worth scraping in 2026, from OTTO and idealo to REWE and Edeka: what each site shows, which fields matter to a data buyer, what is specific to German retail data and how to combine the sites into one dataset.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
ScrapeIt is a managed data extraction company. We build the crawler, run it, watch it and deliver the data. There is no tool to install and no infrastructure on your side. You describe the fields and the frequency, we return files or an API, and we keep the job running as the site changes. We already operate scheduled collection across German retail and electronics, so a MediaMarkt project starts from working practice rather than from a blank page.
Yes. The ScrapeIt MediaMarkt API returns Preis, Verfügbarkeit, Artikelnummer, Marke and the Energieeffizienzklasse for each product as JSON from an endpoint we host, refreshed on the schedule you set. The same MediaMarkt data also comes as CSV or XLSX files or straight into your database.
MediaMarkt's own help centre says assortments and prices can differ between its Märkte and the online shop. What the website itself publishes, though, is a single online price plus per-store availability once a Markt is selected. It does not print a shelf price for each store. So a MediaMarkt scraper returns the online price accurately and cannot return the in-store price. We say that before a project starts rather than after the first delivery.
No. They are sibling banners in the same group but separate domains with their own catalogues and their own article numbers. We run mediamarkt.de and saturn.de as two jobs. If you want them side by side, we match the rows on a manufacturer identifier and hand back one table with a column saying which banner each row came from.
Yes. MediaMarkt shows the Energieeffizienzklasse on the detail page of every product required to carry one, opens the full Energielabel from the class logo, and places the Produktdatenblatt below the class where the law requires it. We return the class as a plain field and the label and sheet either as links or as downloaded files, whichever suits your systems.
Schedules run from a single extraction to several passes a day. Price and availability jobs are usually daily; full catalogue sweeps are weekly or monthly because they are much larger. We monitor the site structure and repair the parsers when MediaMarkt changes its markup, so a layout change costs us work rather than costing you a gap in the series.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
MediaMarkt data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
