How to Use Real Estate Web Scraping to Gain Valuable Insights
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
Unlock real estate insight from PropertyGuru’s major Southeast Asian markets. ScrapeIt delivers structured housing data — from prices and locations to agent info and floor plans — customized for property research or analytics across Singapore, Malaysia, and Thailand.
You won’t need to manage any scripts or deal with messy dashboards. We build a custom scraper to scrape PropertyGuru data — filtered by region, property type, or budget range — and capture exactly what matters. All results come ready to plug into your systems: accurate, structured, and fully adapted to your goals across Southeast Asia’s diverse real estate markets.
The PropertyGuru scraper captures detailed listing data, including price (in local currency), location (city, district, postal code), number of bedrooms and bathrooms, square footage, furnishing status, and property type. It also extracts full descriptions, agent contact info, listing ID, date posted, and image links. All data is parsed and exported in a structured format — ideal for housing market analysis, database integration, or price comparison tools.
Beyond listings, scraping PropertyGuru data also gives access to neighborhood guides, agent profiles with performance metrics, nearby MRT or BTS stations, project names for condos, launch dates for new developments, and even user engagement indicators like listing popularity or price drop alerts. This supporting data adds context that’s ideal for segmentation, forecasting demand, or powering localized property recommendation systems.
PropertyGuru is Southeast Asia’s leading real estate platform, connecting over 50 million users monthly across Singapore, Malaysia, Thailand, Vietnam, and Indonesia. Through localized portals like propertyguru.com.sg and others in the region, it offers one of the most comprehensive databases of listings — including resale homes, rentals, new launches, land, and investment properties.
The platform operates in English, Bahasa, Thai, and Vietnamese, and displays prices in local currencies (SGD, MYR, THB, VND, IDR), making it accessible to a broad, multilingual audience. Beyond listings, PropertyGuru provides virtual tours, automated valuation estimates, price trend charts, school locators, and mortgage comparison tools — supporting users from discovery to decision.
A key differentiator is its AI-powered SmartListings engine, which boosts visibility for the most relevant and high-performing agent listings. The broader ecosystem includes DataSense (its real estate analytics division), PropertyGuru Finance (a digital mortgage brokerage), and regional partnerships with developers and financial institutions.
Its award-winning mobile app and tools like interactive floor maps, unit-by-unit availability, amenity scoring, and pipeline tracking make it essential for everyone from first-time buyers to institutional investors. Whether you're shopping locally or evaluating cross-border opportunities, PropertyGuru provides the infrastructure and insight to navigate real estate across Southeast Asia.
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Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Propertyguru — 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
A PropertyGuru scraper helps you move past the limitations of manual browsing or API restrictions. With millions of listings across Southeast Asia, having structured access to this data means you can analyze market shifts, build investment dashboards, or monitor developer activity with precision. Whether you're tracking trends in Singapore condos or mapping suburban growth in Malaysia, automated extraction gives you the speed, depth, and flexibility that no front-end interface can match.
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
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We don’t just automate — we deliver real estate data that’s already sorted, filtered, and formatted to your specs. For PropertyGuru and similar platforms, our custom-built scrapers pull exactly the insights you’re after: no generic feeds, no technical headaches. Whether you’re building a valuation tool or benchmarking new developments, we get you the right data — clean and ready to use.
Yes — we can limit the scope to any specific country or even city supported by PropertyGuru. Just tell us your target market.
It is. Depending on the market, listings may be in English, Bahasa Malaysia, Thai, or Vietnamese. We preserve the original text in export.
Yes. If publicly available, we capture agent names, phone numbers, agencies, and profile links.
We support flexible delivery: daily, weekly, or customized intervals to suit your workflow or alert system.
Definitely. We extract pricing history (if shown), timestamps, and listing duration to help you track market movement over time.
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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