How to Use Real Estate Web Scraping to Gain Valuable Insights
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
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.
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.
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:
Beyond core product data, our MediaMarkt scraper collects extra context that can support analytics, content generation, or feed enrichment.
We can also extract:
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 QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for MediaMarkt — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
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.
Learn how to use web scraping to solve data problems for your organization
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
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.
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 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.
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.
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.
We actively monitor site structure and adjust our parsing setup whenever needed. This ensures stable, accurate data even when the layout changes.
Absolutely. We work across the e-commerce space — including sites like Amazon, BestBuy, OTTO, and many others in electronics, fashion, and groceries.
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.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582