Knight Frank is one of the most trusted names in high-end real estate - with over a century of experience and listings in more than 50 countries. From penthouses in London to private villas in Dubai, the platform brings together elite properties and serious buyers.
With our Knight Frank scraper, you can extract key property data across regions, currencies, and languages - structured, accurate, and ready for analysis or integration.
We scrape Knight Frank data based on your specific needs: region, price range, property type, language, or currency. Whether you’re tracking luxury trends in the UK, analyzing beachfront villas in the UAE, or comparing premium properties in Europe - we deliver structured datasets that work for you.
We collect only structured, relevant data from across their global site network.
We scrape Knight Frank data including:
This structured dataset gives you clarity across high-end listings worldwide - from London and Dubai to Singapore and Monaco.
Beyond the basics, we capture information that’s often essential for professional investors, developers, and analysts.
We also scrape:
These extras help you segment listings, benchmark assets, or power premium real estate apps and dashboards - with no manual input required.
Knight Frank is a global real estate consultancy founded in London in 1896. Today, it operates in more than 50 countries, with over 480 offices across Europe, Asia, the Middle East, Africa, Australia, and the Americas.
The company’s main website - knightfrank.com - serves as a hub for international listings, while country-specific domains like knightfrank.co.uk, knightfrank.ae, knightfrank.in, and knightfrank.com.au offer localized content and listings.
The platform supports multiple currencies, including GBP, EUR, USD, AED, INR, and AUD - automatically adapting based on the regional site. Listings are typically available in English, with additional languages like Arabic, French, or Chinese provided depending on market.
Whether you’re browsing luxury villas in Dubai, commercial spaces in London, or farmland in New Zealand - knightfrank.com delivers a consistent, premium experience tailored to each country’s property landscape. The site supports multiple languages and currencies, and serves both residential and commercial clients across more than 50 markets worldwide.
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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
We collect structured data using our Knight Frank scraper - pulling from both global and regional websites to give you access to listings across multiple markets, all in one place.
Use it to track prices across currencies, analyze high-end trends, monitor supply in niche sectors, or compare international opportunities. From London penthouses to villas in the Emirates - the data is yours to work with.
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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
We’re not a tool - we’re your data partner. ScrapeIt offers custom scraping services for real estate, delivering structured datasets from platforms like Knight Frank and many others.
Our team handles everything: setup, parsing, export. You get clean data in CSV, Excel, or JSON - ready for your workflows, reports, or internal systems.
Yes. You can request data limited to specific zip codes or regions - ideal for focused market research or local analysis.
We organize the data into clean, labeled fields such as location, price, property type, and features - ready for queries or integration.
Absolutely. Our services allow for flexible filtering - by location, price range, zip codes, and property features.
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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