230,000 Daily Rows Standardized Across 5 EU Property Sites
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.
Learn MoreSreality.cz is the most widely used real estate platform in the Czech Republic - with thousands of updated listings for apartments, houses, land, and commercial properties. Our Sreality scraper gives you access to this market in structured form, helping you analyse, compare, and integrate real estate data across regions and property types.
When we scrape sreality.cz data, we extract key information from every listing - prices, locations, features, and agency contacts - filtered and cleaned according to your needs.
You get a structured dataset that reflects the Czech property market in real time, with no need to build your own tools or maintain complex integrations.
We extract all visible property listing fields from sreality.cz - including title, price, listing type (sale or rent), and category (apartment, house, land, commercial).
Every listing includes key data points like full location - region, district, municipality, city, address, and ZIP code - as well as floor number, size in square meters, number of rooms, and whether it’s a new build.
Descriptions, image galleries, listing ID, and direct URLs are also part of the dataset, giving you a clear and structured view of each property’s offer.
In addition to core listing data, the Sreality scraper collects agency information, including company name, logo, and contact details (email, phone, contact form links).
We also extract posting date, availability status, map coordinates, number of views (where available), and supplementary listing labels such as “exclusive offer” or “verified offer”.
This added layer of context helps track market movement, identify top-performing agencies, and filter properties more precisely.
Sreality is the leading real estate portal in the Czech Republic, operated by Seznam.cz - one of the country’s most trusted internet companies. The platform brings together listings for apartments, houses, land, and commercial spaces across all Czech regions.
It’s widely used by individuals, real estate agents, and developers to buy, rent, or advertise properties. The site supports rich filters, interactive maps, and detailed listings with floor plans and photos.
The platform is available in Czech, with prices shown in CZK and listings organized by city, district, and postal code. For anyone interested in the Czech property market, sreality.cz is the go-to source.
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€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
The Czech real estate market moves fast - and relying on manual checks or outdated feeds means missing out. When you scrape Sreality data, you gain access to structured, up-to-date listings that reflect real market conditions.
It’s an essential source for analysts monitoring price trends, real estate professionals comparing offers across regions, and platforms that want to enrich their own property inventory with reliable data.
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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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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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
ScrapeIt is a data extraction company that works across hundreds of platforms - from niche portals to leading real estate marketplaces.
We handle the entire process: parsing, cleaning, structuring, and delivering the data you actually need.
Whether you're tracking housing supply, comparing prices across cities, or enriching your own property listings, we turn complex web data into ready-to-use insights.
Yes. We deliver clean data exports in formats like CSV, Excel, JSON, or any other format that’s convenient for you - ready for import into your database or analytics environment.
We’re not a tool you install. ScrapeIt is a managed extractor service - we handle the entire process and provide you with finished data files, tailored to your needs.
Absolutely. Our services are flexible - you tell us the filters (location, property type, price range, etc.), and we extract only what matters to you.
Yes, we extract full context from each listing - including agency names, contact info, listing IDs, dates, and user reviews where available.
Our team regularly refreshes the data directly from the live site.
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.
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