With ImmoScout24 web scraping services, gain accurate real-time insights into the German real estate market. Track property listings, price changes, and regional trends to support your investment decisions, monitor competitors, and refine your sales strategy.
ImmoScout24 is one of the most comprehensive sources of real estate data in Germany - from property prices and availability to agent contacts and listing metadata. By scraping this data, you get a clear picture of market dynamics, customer behavior, and regional trends.
ScrapeIt helps you turn that information into actionable insights, enabling data-driven decisions for investment, development, or competitive benchmarking.
ImmoScout24 offers a rich source of real estate intelligence. Whether you're managing portfolios, planning development, or optimizing your pricing - scraping this platform gives you the data advantage. Here are some of the top use cases:
Get up-to-date ImmoScout24 pricing data for homes, apartments, and commercial properties. Analyze size, location, and condition to support precise market positioning.
Generate tailored contact lists of agents, property managers, and sellers for targeted marketing campaigns. Save time by automating outreach data collection.
Keep an eye on listings across Germany: new properties, status changes, and price fluctuations. Perfect for investors, agencies, and real estate platforms looking to act fast.
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
Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
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
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.
Web scraping is an automated process for obtaining information from websites using software. A specially trained algorithm goes to the landing page of the site and starts crawling through all the internal links, collecting specified data. The extracted information is stored and structured for further processing and analysis.
We can deliver your data in CSV, Excel, JSON, JSONLines, or XML format via FTP, SFTP, AWS S3, Google Cloud Storage, email, Dropbox, or Google Drive.
We do not limit the dataset to the number of rows. A personal scraper is prepared for each customer, so it makes no difference whether it extracts 10,000 data rows or 100,000.
It all depends on the number of sites that need to be scraped and the technical characteristics. The setup and launch of the scraper usually take between 1 and 10 days.
Yes. We respect your personal information and try to keep it private and secure by signing a non-disclosure agreement (NDA).
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
