From central London penthouses to vineyards in France and office towers in Asia — ScrapeIt collects structured property data directly from Savills listings. Residential or commercial, global or local, we deliver the real estate data that powers smarter strategy.
Savills listings span multiple countries, property types, and presentation formats — but ScrapeIt brings it all into a unified structure. We build custom extraction logic based on your criteria: residential vs. commercial, specific countries, currency, or asset class. Our system navigates multilingual content, parses region-specific data fields, and ensures consistency across borders. You receive a clean, well-organized dataset — no browser scraping, no manual effort, just results aligned with your global property objectives.
Savills publishes a diverse mix of high-value property listings across residential, commercial, rural, and international sectors — and ScrapeIt helps you scrape Savills data into a structured format you can actually use. We extract listing price (in local currency), country and region, property type, and detailed spatial specs like square footage, land area, and number of bedrooms or units.
Beyond the basics, we collect information such as ownership type (freehold or leasehold), building condition, energy efficiency rating, floor plans, and renovation history. Listings with gardens, terraces, gated access, or private driveways are also marked. In the commercial space, we gather yield data, tenancy status, usage tags, and any associated marketing brochures or downloadable floor plans.
Every dataset includes structured agent contact details, listing IDs, and formatted descriptions — all standardized and export-ready in CSV, JSON, or Excel.
Savills listings often include subtleties that reveal market positioning, urgency, or investment value — and our Savills scraper is built to capture them. We extract signals like “Prime Investment,” “Coming Soon,” or “Confidential Sale,” which indicate exclusivity or limited-time opportunities. Properties may also be tagged as “Recently Reduced,” “New to Market,” or “Under Offer,” helping you spot shifts in demand or pricing trends.
Our Savills scraper goes further by collecting extended listing metadata — from initial publication dates and time-on-market to extras like digital brochures, video tours, and virtual walkthroughs. In international markets, it also tracks multilingual variants of listings, offering a granular view of regional differences and global portfolio structures.
These hidden layers turn static listings into dynamic insight — especially valuable for analytics teams, investment analysts, and platform builders.
Savills.com was founded in London in 1855 and has grown into a powerhouse of over 700 offices worldwide, spanning Europe, Asia-Pacific, the Middle East, Africa, and the Americas. Known for high-value advisory, the platform handles a vast spectrum of property types — from luxury city-center penthouses and farmland estates to retail parks, distribution hubs, and opportunity-based development plots.
Visitors can explore detailed market research reports, virtual property tours, geo-enabled mapping tools, and downloadable investment brochures. The platform supports multiple languages and displays pricing in local currencies, simplifying cross-border property decisions. Savills also integrates ESG credentials and sustainability ratings into many listings — a growing trend among international buyers.
The site caters to a diverse mix: high-net-worth individuals, corporate investors, public-sector property teams, and family offices seeking transaction-grade assets. It also provides tailored services like country-by-country tax and legal advisory, enabling users to navigate complex regulatory environments. With its blend of digital content, agent expertise, and global outreach, Savills represents more than a listings portal — it's a deeply integrated ecosystem for strategic real estate initiatives.
Get a Quote
Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Savills — faster and cheaper than building a solution from scratch.
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
Savills offers deep property insights — but without structured access, most of that intelligence stays locked in the front end. A Savills scraper gives you the edge: analyze price dynamics across global capitals, monitor cross-border listings, or build dashboards that compare luxury housing in London with vineyard estates in Tuscany.
Whether you're tracking investment-grade commercial assets, benchmarking yields in European logistics, or collecting ESG-ready listings, ScrapeIt’s Savills scraper provides direct access to the data behind the headlines. Our approach helps asset managers, analysts, and real estate platforms bypass rigid filters and uncover hidden opportunities across countries and asset classes — all in a format you control.
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.
Data needs are never one-size-fits-all — especially when working across markets like the UK, EU, and Asia. That’s why ScrapeIt builds targeted extraction workflows specifically for platforms like Savills. We don’t just offer tools — we scrape Savills data and deliver curated property datasets aligned with your market, filtered the way you want — by region, sector, asset class, or listing tag.
Whether you're building an international investment tracker, auditing luxury property availability, or feeding a multilingual listing engine, ScrapeIt handles the complexity behind the scenes — so your team can focus on decisions, not data wrangling.
Clients include global asset managers, research analysts, and real estate tech companies that need reliable multi-country property data for strategy and valuation.
Yes — we offer scheduled extractions, whether you need weekly feeds for live systems or periodic updates for internal reporting.
We can segment by property class, asset type, or region — allowing you to isolate offices, retail, housing, or land data independently.
Always. Prices are preserved in GBP, EUR, USD, or local equivalents, and content remains in its source language unless a custom translation layer is requested.
Yes — we capture listing labels, publication states, and promotion tags, allowing you to exclude hidden, draft, or pending-sale properties as needed.
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
