MediaMarkt Scraper

MediaMarkt is one of Europe’s largest electronics retailers — with thousands of products, daily price updates, and constantly changing offers. A MediaMarkt scraper helps you see what’s really happening in online retail — which products are promoted, how prices change, and what’s in stock or gone. Instead of checking pages manually, you get ready-to-use data that shows trends, highlights opportunities, and supports faster decisions in pricing, content, or inventory planning.

MediaMarkt Scraper
Solutions

How We Work with the MediaMarkt Web Scraper

We don’t just provide tools — we deliver results. With the MediaMarkt web scraper by ScrapeIt, our team handles the entire flow: extracting structured product data from listings, categories, and filters, monitoring site changes, and delivering exports to match your needs.

Whether you're benchmarking prices, tracking new stock, or studying marketing tactics, we keep the data accurate, consistent, and formatted for use. You get clean outputs — in CSV, Excel, JSON, or custom formats — while we manage the backend.

What We Scrape from MediaMarkt

We scrape MediaMarkt to extract detailed, structured data from its wide-ranging product catalog. The information we gather helps you monitor assortment shifts, pricing trends, and availability changes across electronics and appliances.

Here’s the core data we typically extract:

  • Product titles and categories
  • Current prices and crossed-out prices (discounts)
  • Product availability and delivery estimates
  • Images and product descriptions
  • Technical specifications and model numbers
  • Brand and series information
  • Promotional tags and badges (e.g., “Top Deal”, “Online Only”)

What We Scrape from MediaMarkt
Additional Insights Captured with the MediaMarkt Scraper

Additional Insights Captured with the MediaMarkt Scraper

Beyond core product data, our MediaMarkt scraper collects extra context that can support analytics, content generation, or feed enrichment.

We can also extract:

  • Product ratings (stars) and number of reviews
  • Energy efficiency class (for appliances)
  • Filterable metadata like color, features, or size
  • URLs to product pages for reference
  • Category breadcrumb structure
  • Product ID and SKU codes
  • Information on financing or subscription offers

About MediaMarkt

MediaMarkt is one of Europe’s leading electronics retailers, known for its vast selection of consumer electronics, home appliances, and digital devices. Founded in Germany in 1979, the company now operates hundreds of stores across Europe and maintains a strong online presence.

The German site, mediamarkt.de, showcases thousands of SKUs across categories like smartphones, TVs, laptops, kitchen appliances, and gaming gear. With frequent promotions, real-time stock updates, and dynamic pricing, MediaMarkt is a key source for tracking retail trends in the electronics sector. The platform is available in German and operates in EUR.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for MediaMarkt Data Scraping

Customized scraping setup for MediaMarkt — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
+
+
+
+
+
+
+
Custom requirements
+
+
+
+
+
+
+
Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
+
+
+
+
+
Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
+
Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
-
+
+
+
+
+
+
Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
-
1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
-
Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
-
-
-
+
+
+
+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
-
-
-
-
-
+
+
Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
-
+
+
+
+
+
+
SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
-
+
+
+
+
+
+
Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
-
30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
-
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
icon-check

Data limits (rows): a 100+ row piece

icon-check

Iterations: 1

icon-check

Custom requirements: No

icon-check

Data lifetime: up to 3 month old

icon-check

Data quality checks: No

icon-check

Delivery deadline: 1 working day

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Sample Dataset

50
/ source
icon-check

Data limits (rows): up to 10%

icon-check

Iterations: up to 3

icon-check

Custom requirements: Yes

icon-check

Data lifetime: up-to-date

icon-check

Data quality checks: Yes

icon-check

Delivery deadline: 1-2 working days

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Get data sample

Why Teams Use a MediaMarkt Web Scraper

Retail and pricing decisions aren’t made in isolation — they rely on understanding how the market moves. A MediaMarkt data scraper gives your team structured access to one of the most active electronics catalogs in Europe.

Instead of pulling samples or relying on outdated third-party sources, you get real-time product data directly from the source — prices, availability, specs, and promotions — delivered clean and ready for analysis. Whether you're monitoring competitors, refining pricing strategies, or building dynamic content, scraping MediaMarkt allows you to move with clarity, not guesswork.

Our Blog

Reads Our Latest News & Blog

Learn how to use web scraping to solve data problems for your organization

How to Use Real Estate Web Scraping to Gain Valuable Insights

How to Use Real Estate Web Scraping to Gain Valuable Insights

December 12, 2023

Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

September 27, 2022

Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

September 13, 2022

The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.

scrapeit logo

About ScrapeIt

ScrapeIt is a data extraction company focused on turning complex retail platforms into clear, structured datasets. We don’t sell tools — we deliver results. Our services are fully managed, meaning we take care of the entire process: setup, monitoring, extraction, formatting, and delivery.

Whether you're tracking products from MediaMarkt, analyzing price shifts, or comparing catalogs across multiple regions — we handle the heavy lifting so your team can focus on insights, not infrastructure.

FAQ

Can I use this service without technical knowledge?

Yes. Our team handles the full process — from setup to delivery. You don’t need to write code or manage infrastructure. Just tell us what product information you need.

Can I track how prices or availability change over time?

Yes. We can set up scheduled extractions — daily, weekly, or custom — so you can monitor how products move, when discounts appear, or how fast items go out of stock. This is especially useful for pricing analysis or market trend tracking.

How reliable is the parsing if MediaMarkt changes its layout?

We actively monitor site structure and adjust our parsing setup whenever needed. This ensures stable, accurate data even when the layout changes.

Do you support e-commerce platforms other than MediaMarkt?

Absolutely. We work across the e-commerce space — including sites like Amazon, BestBuy, OTTO, and many others in electronics, fashion, and groceries.

Can I request a custom extractor for specific categories only?

Yes. If you're only interested in certain brands, SKUs, or product types, we can configure a targeted extractor to collect exactly what you need — nothing extra.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
scrapiet

Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582