We provide structured real estate data from iProperty — including listings, prices, and locations — already collected, cleaned, and ready for use. Ideal for professionals working with Malaysian housing data at scale, without needing to build tools or manage scraping.
Our scraping service collects housing data directly from iProperty and delivers it in a structured format — ready for search, analysis, or integration. You don’t need to run scripts or deal with platform limitations. We handle the entire extraction and formatting process, so you receive reliable, ready-to-use datasets without the technical hassle.
iProperty scraper delivers detailed data from each listing on iProperty — including title, property type, price, currency, and full address with location tags. It also captures information on bedrooms, bathrooms, property size (in square feet or meters), and the full description provided by the seller or agent. When available, it extracts contact details, posting date, availability status, and links to images or encoded photos based on your preferences.
Additional metadata such as property IDs, listing durations, and promotional tags like "Hot Deal" or "Featured" can also be included. This added context makes it easier to filter, group, or prioritize listings. All data is provided in a structured format, ready for integration into your workflow.
Beyond standard listings, we can also scrape iProperty data from new project launches, commercial property sections, featured listings, and market trend pages. If you need filtered searches — for example, high-rise units under RM500,000 in Kuala Lumpur — we can apply those parameters directly during extraction. It's also possible to gather developer profiles, mortgage calculator outputs, or even comparison tables, depending on what insights you’re targeting.
iProperty.com.my has been at the center of Malaysia’s digital property scene since 2003, connecting buyers, renters, and investors with agents, developers, and private sellers. Now part of the PropertyGuru Group, iProperty.com.my lists over 450,000 active properties — from residential condos and landed homes to office units and retail spaces across Kuala Lumpur, Penang, Johor Bahru, and beyond.
What makes the platform stand out is its toolset for serious property research. Users get access to features like LoanCare (for personalized mortgage insights), Brickz.my (transaction history data), 360° virtual tours, and a well-designed mobile app for browsing on the go.
Attracting over 2 million visits per month, iProperty draws a highly engaged audience — especially first-time buyers aged 25–34 looking for their next move in Malaysia’s urban centers. Beyond listings, the platform runs property expos, market events, and its own media channel, iPropertyTV, offering education and insight into the local real estate market.
With its mix of scale, trusted branding, and market-specific data, iProperty remains one of the most important digital hubs for anyone working in or researching Malaysia’s real estate sector.
iProperty’s influence extends beyond listings — it actively supports property education, market transparency, and developer outreach. With tailored advertising solutions, campaign performance analytics, and dedicated agent tools, the platform has become an essential digital hub for professionals in the real estate ecosystem. For those looking to scrape iProperty data, this functionality provides access to structured, multilingual datasets that reflect Malaysia’s diverse property market. The platform supports browsing in English, Malay, and Chinese — making it easier for both locals and foreign buyers to explore opportunities.
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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
Manual research can’t keep pace with Malaysia’s dynamic housing market — but structured data changes that. Our iProperty scraper gives you access to current listings at scale, streamlines how you monitor property changes, and helps you spot pricing shifts and market trends across regions. Whether you're building dashboards, powering internal tools, or conducting market research, we deliver reliable datasets that let you focus on insight, not data collection.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
At ScrapeIt, we create tailored data-extraction tools so you can focus on insights, not technical headaches. No subscriptions, no clunky dashboards—just a streamlined service that pulls iProperty.com.my listings accurately and on demand. You’ll receive clean, structured data ready to plug into your processes, all without the lengthy setup or coding work. Reliable, organized property information delivered straight to you.
No — there’s nothing for you to set up. We manage the full extraction and delivery process, so you can focus on using the data, not collecting it.
Yes, we can narrow the scope to specific areas — from major cities like Kuala Lumpur and Penang to custom-defined districts or neighborhoods.
We export in the format you prefer — CSV, Excel, or JSON — structured to match your internal systems or tools.
We can collect both residential and commercial listings, including new launches, resale units, and rental offers.
Definitely. We can run the scraper on a schedule that suits your needs — daily, weekly, or on demand.
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
