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
Need reliable product data from Kaufland — not just in Germany, but across Europe? Our Kaufland scraper helps you collect detailed info from local Kaufland websites in multiple countries, including Germany, Czech Republic, Slovakia, Croatia, Romania, and more. From prices and product names to availability and local deals — we deliver clean, structured data ready to support your pricing strategy, product listings, or market research.
At ScrapeIt, we don’t give you tools — we deliver results. Whether you need to scrape Kaufland for product info, prices, stock data, or categories, our team builds a custom Kaufland data scraper based on your specific request. No need to learn scraping, configure scripts, or deal with broken parsers.
You tell us what you need — and we’ll get it for you. Fast, clean, and without the hassle. You focus on your goals, we handle the data.
We collect the data that actually matters from Kaufland’s marketplace:
You get structured product data that helps with pricing strategy, catalog building, or tracking what Kaufland offers — all delivered in a ready-to-use format.
Beyond standard product data, we can also collect:
All of this, powered by the Kaufland Scraper, helps you better understand Kaufland’s strategy, how products are promoted, and what buyers really respond to.
Kaufland.com is the digital face of Kaufland’s vast hypermarket network, catering to millions of shoppers across Germany, Czech Republic, Slovakia, Croatia, Romania, and more—with prices in EUR, CZK, RON, HRK, and others.
What sets them apart:
With its mix of grocery staples, private brands, local pricing, and promotional catalogs, kaufland.com becomes a multi-dimensional source of product data, price intelligence, market trends, and consumer-focused signals across Europe’s retail sectors. Regional platforms like kaufland.de (Germany) and kaufland.cz (Czech Republic) tailor content, pricing, and inventory to local markets — making them valuable for localized data extraction.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Kaufland — 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
Kaufland isn’t just another online store — it’s a full-scale marketplace backed by one of Europe’s biggest retail chains. That makes its data incredibly valuable.
By scraping Kaufland, you can:
Whether you’re benchmarking your product catalog, scouting for new markets, or watching competitors, a Kaufland web scraper can help you unlock layered data for a serious edge.
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.
At ScrapeIt, we focus on one thing — delivering clean, structured data from any e-commerce platform, including Kaufland. No tools to install, no dashboards to manage. Just the product information you need, exactly how you need it.
Our clients use our data for pricing, product research, catalog updates, and market tracking — all without lifting a finger on the tech side.
Technically, yes — but it’s not easy. Kaufland uses dynamic content, country-specific variations, and protections that make scraping time-consuming without the right setup.
We extract product info, pricing, discounts, stock status, seller profiles, delivery options, and more — depending on your goals.
Yes, we provide data as fresh as you need it — daily, weekly, or on request.
Not at all. Just tell us what you need — we handle the rest and deliver clean files ready for use.
More than you’d think. Kaufland is growing fast in Central and Eastern Europe, and many businesses monitor it to stay competitive in pricing and assortment.
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