We scrape property listings, asking prices, rents, agents and listing history from 112 real estate portals across North America, Europe, Asia-Pacific and Latin America. You get one clean dataset on your schedule, as CSV, JSON or through our API.
Plans from €169/month · Free project assessment · Reply within 1 business day
Real Estate Marketplaces
Property Listing Platforms
Real Estate Agencies
Brokers and Agents
Property Management Companies
Real Estate Data Aggregators
Investment Firms
Real Estate Analytics Platforms
Mortgage and Insurance Companies
Construction and Development Firms
Research and Consulting Agencies
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
Real estate web scraping is the automated collection of public property data - listings, asking prices and rents, property features, agents and listing history - from portals such as Zillow, Rightmove, Idealista or ImmoScout24. Collected on a schedule, it turns scattered listings into a dataset you can query: price per square metre by district, days on market, rental yields, new supply and price cuts. Our real estate scraper runs as a managed service: we build and maintain the crawlers, clean and deduplicate listings across portals, and deliver the data where your team works.
Collect listings, photos, pricing, and agent data from hundreds of sources to create a complete and up-to-date property catalog.
Enhance your internal databases with missing details - property descriptions, amenities, availability, and images.
Get lists of new private listings and property deals with contact details to reach potential sellers or landlords before your competitors do.
Web scraping house prices helps track property values and rental rates, enabling easy comparisons between regions and helping you monitor market changes.
Track new listings, sold properties, and location demand to spot emerging trends in the housing and rental markets.
Use up-to-date property data from a trusted provider to track your assets, identify undervalued listings, and make professional pricing and investment decisions.
Use parsing to collect and analyze property and agent reviews, helping you evaluate brand reputation and service quality.
Combine scraped property data with geographic context to understand neighborhood dynamics and value drivers.
Keep an eye on agencies, brokers, and developers - track their listings, prices, and activity across major platforms.
Each listing becomes one clean record with a stable listing ID and its source portal. Fields vary by portal; the common core is below. Repeated runs add listing history - first seen, price changes, status changes and removal - which is what turns real estate scraping into market tracking.
Expertly customized web scraping services at a fraction of the cost of developing your own software.
€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
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →
A daily apartments.com feed for a US apartment locator: about 3,000 buildings from the client's own list, down to each unit's rent and floor plan.
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A one-time Housing.com collection for a real-estate company in India: project cards plus every photo and floor plan, uploaded straight to its cloud drive.
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A one-time 30-day history of Sahibinden car and SUV listings for a startup building an AI deal finder, delivered as JSON through our API.
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About 270,000 Zillow agent profiles from 25 US metro areas, collected past the directory's 25-page cap for a lead-generation team.
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Every day, a full snapshot of all active Homegate listings in one Swiss region, with photos and PDFs, for a company's own listing-history database.
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A real-estate analytics company got two portals archived listing by listing: the saved page, a JSON file and every photo, 420K+ listings in all.
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We set up your data pipelines and get them running in just a few days - no coding or internal development needed on your side.
Our real estate scraper easily scales to millions of listings across multiple sources, handling complex and dynamic websites with consistent accuracy.
We monitor scrapers continuously, handle changes in site structure, and ensure your data always arrives on time.
Scale your data extraction without scaling your costs. Our solutions cut expenses by up to 80% compared to in-house setups.
You don’t need scraping engineers. We manage everything for you - from setup to scale, with zero overhead on your side.
You get structured, complete, and reliable data - ready to plug into dashboards, models, or your internal tools.
Learn how to use web scraping to solve data problems for your organization
Six German property websites worth scraping in 2026 - ImmoScout24, Immowelt, Kleinanzeigen, Sparkasse Immobilien, ohne-makler.net and WG-Gesucht - with the fields each one shows, what only it adds and how to merge them into one dataset.
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.”
It is the automated collection of public property data from real estate portals: listings, asking prices and rents, property features, photos, agents and listing history. Instead of copying listings by hand, a real estate scraper visits each portal on a schedule and turns every listing into a structured record you can analyse.
Order a managed feed: we build, run and maintain a scraper for each portal and deliver one clean dataset, so your team writes no code. We cover 112 real estate portals; one project covers around 3 million Zillow listings across the US, updated three times a week, and another collected 226,000 ImmoScout24 properties with 3.4 million photos, set up in 4 working days. A one-time dataset of up to 100,000 listings costs EUR 199 and comes as CSV, Excel or JSON. Monthly plans cost from EUR 169 a month plus a one-off EUR 499 setup fee that includes the sample dataset and the first month, and can also deliver through our API or as a JSON feed.
You name the portals, locations and property types. We build a crawler for each portal, collect every matching listing, normalise the fields, remove duplicates and deliver the dataset. On repeat runs we record what changed, so each listing gains a price history and a days-on-market count.
We work with 112 property portals, including Zillow, Realtor.com, Redfin, Rightmove, Zoopla, ImmoScout24, Idealista, Funda, Booli and 99acres, grouped by region above. If your portal is not on the list, we assess it before quoting.
Yes. We collect only publicly available data - everything a portal shows to visitors: listings, prices, property details, photos, agents and price history - and we collect it legally, without logging in. Agent names and contact details are handled as personal data under GDPR.
Yes. Daily or weekly runs record each listing's first appearance, every change in asking price or status, and the date it is removed. That gives price history, price cuts and days on market per listing, and supply trends per area.
Yes. We map every portal to one schema and flag the same property listed on several portals. One of our projects standardises 230,000 daily rows from five European property sites into a single feed.
As CSV, Excel, JSON, JSON Lines or XML, delivered by SFTP, Amazon S3, Google Drive, Dropbox or email, as a JSON feed, or through our API straight into your CRM or data warehouse. An MCP server is available on request.
Hourly, daily, weekly or monthly. Most real estate projects run daily, because asking prices and availability change fast.
A one-time dataset of up to 100,000 listings costs EUR 199 and is collected within 5 working days. Monthly plans start at EUR 169 a month for up to 250,000 rows, and daily updates, which most real estate projects need, start with the Microscope plan at EUR 349 a month for up to 2,000,000 rows. Monthly plans add a one-off EUR 499 setup fee that includes the sample dataset and the first month. For a larger scope we quote after reviewing the portals, and you can order a sample dataset first.
Yes. We sign NDAs and data processing agreements before a project starts.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
KRS: 0000996672
NIP: 5423457175
REGON: 523384582
