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
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€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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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.
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.
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