MediaMarkt Germany Product Scraper

MediaMarkt Germany Product Scraper creates a structured dataset of products collected from MediaMarkt.de. Each dataset item can include the product id, name, brand, EAN, price, currency, rating, review count, stock flag, category, and source query. Query the source with a search phrase or a MediaMarkt search or product URL. Control the result limit with maxItems, and optionally request product details or customer reviews. Retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	mediamarkt.de
Record unit	One product
Input methods	searchQueries or startUrls
Main identifiers	productId, url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML
Update model	Fresh records per Actor run
Pricing	$1.50 per 1,000 products, detail pages, and reviews on the Free plan. Platform usage is not billed separately.

Coverage and available records

searchQueries are MediaMarkt search phrases. startUrls can be search result URLs or product URLs. maxItems of 0 does not add an item cap. includeProductDetails loads the product page and charges product-details when that payload is saved. includeReviews collects up to maxReviews reviews per product and charges product-reviews once per saved review. Search rows still include price, brand, stock, and rating when those values are on the search card.

Marketplace offers from sellers other than MediaMarkt, and store-level inventory by city, are not separate records. A refurbished flag is isRefurbishedAvailable when the page exposes it.

Data dictionary

Field	Type	Nullable	Description	Example
productId	string	no	MediaMarkt product id. Deduplication key.	3071596
name	string	yes	Product name	APPLE AirPods 5 + wireless charging Case
brand	string	yes	Brand	APPLE
ean	string	yes	EAN	0195951378718
url	string	yes	Product page	https://www.mediamarkt.de/de/product/_apple-airpods-5-wireless-charging-case-3071596.html
imageUrl	string	yes	Primary image	https://assets.mmsrg.com/isr/166325/c1/-/ASSET_MMS_183535376
price	number	yes	Current price, EUR	169
originalPrice	number	yes	Price before discount	null
discountPercent	number	yes	Discount percent	null
currency	string	yes	Currency code	EUR
rating	number	yes	Average rating	0.0
reviewCount	number	yes	Review count on the card	0
inStock	boolean	yes	Stock flag from the card	true
availability	string	yes	Availability code	RELEASE_PRODUCT
category	string	yes	Category label	Bluetooth Kopfhörer Open Ear
isRefurbishedAvailable	boolean	yes	Refurbished offer exists	false
sourceType	string	yes	search or url	search
sourceQuery	string	yes	Query or URL that produced the row	AirPods

Example dataset record

{
  "productId": "3071596",
  "name": "APPLE AirPods 5 + wireless charging Case, Open-ear Kopfhörer Bluetooth White",
  "brand": "APPLE",
  "ean": "0195951378718",
  "url": "https://www.mediamarkt.de/de/product/_apple-airpods-5-wireless-charging-case-3071596.html",
  "imageUrl": "https://assets.mmsrg.com/isr/166325/c1/-/ASSET_MMS_183535376",
  "price": 169,
  "originalPrice": null,
  "discountPercent": null,
  "currency": "EUR",
  "rating": 0.0,
  "reviewCount": 0,
  "inStock": true,
  "availability": "RELEASE_PRODUCT",
  "category": "Bluetooth Kopfhörer Open Ear",
  "isRefurbishedAvailable": false,
  "sourceType": "search",
  "sourceQuery": "AirPods"
}

This row came from the search query AirPods.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array	no	empty	Search phrases	MediaMarkt search text.
startUrls	array	no	empty	Search or product URLs	Direct MediaMarkt URLs.
maxItems	integer	no	0	Integer	Maximum products saved. 0 does not add a cap.
includeProductDetails	boolean	no	false	true, false	Fetch product pages. Charges product-details.
includeReviews	boolean	no	false	true, false	Fetch reviews. Charges product-reviews.
maxReviews	integer	no	10	Integer	Reviews saved per product.
detailConcurrency	integer	no	5	Integer	Parallel detail fetches.
proxyConfiguration	object	no	Apify residential	Apify proxy input	Proxy used for MediaMarkt requests.

Minimal request:

{
  "searchQueries": ["AirPods"],
  "maxItems": 5
}

Retrieve the data through the API

Start the Actor with JSON input, wait for the run, then read the default dataset. Other languages are on the Actor API tab.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("datascrapers/mediamarkt-de-scraper").call(run_input={
    "searchQueries": ["AirPods"],
    "maxItems": 5,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["productId"], item.get("price"))

Data quality and record handling

Use productId as the deduplication key. price is a number in euros. originalPrice and discountPercent are null when the card has no discount. Review text is attached only when includeReviews is on, and each saved review is its own product-reviews event. A product page that fails can still leave the search-card row in the dataset.

Pricing and cost examples

Event	Free	Bronze	Silver	Gold
dataset-item	$1.50	$1.40	$1.30	$1.20
product-details	$1.50	$1.40	$1.30	$1.20
product-reviews	$1.50	$1.40	$1.30	$1.20

Prices are per 1,000 events. Platinum and Diamond use the Gold price. Platform usage is not billed on top of these events. A Free-plan run that saves 1,000 products costs $1.50. Details add $1.50 per 1,000 product pages. Reviews add $1.50 per 1,000 reviews.

Limitations and responsible data use

MediaMarkt can change search cards, require a proxy, or omit EAN and rating on some products. Stock is the flag returned for that request, not a promise of later availability. Use the data under MediaMarkt's terms and applicable privacy rules.

Dataset questions

Can I pass a product URL?

Yes. Put the product URL in startUrls. Search phrases are not required for that run.

How are reviews billed?

Each review saved while includeReviews is on is one product-reviews event, up to maxReviews per product.

Which field should I store as the key?

Store productId. It is the numeric id in the product URL.

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Data Scrapers support

Questions about this dataset: stardustspotlight@gmail.com