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
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
Pages extracted
Hours saved for our clients
Customized setup of your web scrapers by experts at less than the price of developing the software yourself.
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
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.
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