PropertyGuru Scraper
Efficiently extract real estate data from PropertyGuru with the PropertyGuru Scraper. Collect details like property names, prices, and agent information for streamlined research and analysis.
What is PropertyGuru Scraper?
The PropertyGuru Scraper is a powerful tool designed to extract comprehensive real estate data from PropertyGuru, one of the leading property platforms in Asia. It’s ideal for buyers, investors, and real estate professionals seeking accurate and timely property insights.
What Data Can Be Scraped from PropertyGuru?
Using the PropertyGuru Scraper, you can collect:
- Property names and addresses
- Pricing details (total price and price per square foot)
- Property features such as size, number of bedrooms, and bathrooms
- Leasehold information and year of construction
- Agent details, including name and profile link
- Property descriptions and images
- Time since the property was listed
This data empowers users to perform market analysis, track trends, and evaluate investment opportunities efficiently.
How Do I Get Started?
Getting started with Propertyguru Scraper on MrScraper is simple and user-friendly. Just follow these steps:
- Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.
- Initiate Scraping: On the homepage, select “New ScrapeGPT” and paste the Trulia URL of the page you wish to scrape.
- Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.
- Enter a Prompt: Type in your prompt, such as “Get all rental data” or “Extract property details,” and ScrapeGPT will handle the rest seamlessly.
- Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.
Input Url
https://www.propertyguru.com.sg/property-for-sale?market=residential
Sample Output
The data extracted can be provided in JSON or CSV formats, ensuring compatibility with your workflow. For example:
Sample Output (JSON)
[
{
"property_name": "The Alps Residences",
"address": "Tampines Avenue 10",
"price": "S$ 1,080,000",
"bedrooms": 2,
"bathrooms": 2,
"size_sqft": 700,
"price_per_sqft": "S$ 1,542.86 psf",
"property_type": "Condominium",
"leasehold": "99-year Leasehold",
"year_built": 2019,
"listing_time": "Listed 17s ago",
"agent": {
"name": "Royston Koh",
"profile_link": "/agent/royston-koh-215120"
},
"description": "Motivated Seller. Breezy. 1km Poi Ching, St Hilda, United World.",
"images": [
"https://sg1-cdn.pgimgs.com/listing/25446317/UPHO.152758875.V800/The-Alps-Residences-Pasir-Ris-Tampines-Singapore.jpg"
]
},
{
"property_name": "Huge, Timeless And Pristine Terrace in D11",
"address": "Swiss View / Dunearn Road / Binjai Park",
"price": "S$ 5,200,000",
"bedrooms": 7,
"bathrooms": 5,
"size_sqft": 3609,
"price_per_sqft": "S$ 2,731.09 psf",
"property_type": "Terraced House",
"leasehold": "999-year Leasehold",
"listing_time": "Listed 20s ago",
"agent": {
"name": "Bryan Ong",
"profile_link": "/agent/bryan-ong-12124961"
},
"description": "Pristine, Timeless, Spacious Terrace in District 11 for Sale",
"images": [
"https://sg1-cdn.pgimgs.com/listing/25457148/UPHO.152758875.V800/Huge-Timeless-And-Pristine-Terrace-in-D11.jpg"
]
},
{
"property_name": "CanningHill Piers",
"address": "177 River Valley Road",
"price": "S$ 1,550,000",
"bedrooms": 1,
"bathrooms": 1,
"size_sqft": 409,
"price_per_sqft": "S$ 3,789.73 psf",
"property_type": "Condominium",
"leasehold": "99-year Leasehold",
"listing_time": "Listed 34s ago",
"agent": {
"name": "Benedict Lim",
"profile_link": "/agent/benedict-lim-379921"
},
"description": "Genuine subsale unit on super high floor! A unit not to be missed!!",
"images": [
"https://sg1-cdn.pgimgs.com/listing/25381247/UPHO.152758875.V800/CanningHill-Piers.jpg"
]
},
{
"property_name": "Upper Changi Road East 82223344",
"address": "Meragi Road, Upper Changi Road East, Jalan Pergam",
"price": "S$ 8,250,000",
"bedrooms": 7,
"bathrooms": 7,
"size_sqft": 7980,
"price_per_sqft": "S$ 2,240.63 psf",
"property_type": "Semi-Detached House",
"leasehold": "Freehold",
"listing_time": "Listed 40s ago",
"agent": {
"name": "Norman Tan",
"profile_link": "/agent/norman-tan-596135"
},
"description": "Premium Discount. Almost Sold. Full ID Luxury Deco. Value Worth.",
"images": [
"https://sg1-cdn.pgimgs.com/listing/25482300/UPHO.152758875.V800/Upper-Changi-Road-East-82223344.jpg"
]
}
]
Sample Output (CSV)
| Property Name | Address | Price | Bedrooms | Bathrooms | Size (sqft) | Price per sqft | Property Type | Leasehold | Year Built | Listing Time | Agent Name | Agent Profile Link | Description | Image |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| The Alps Residences | Tampines Avenue 10 | S$ 1,080,000 | 2 | 2 | 700 | S$ 1,542.86 psf | Condominium | 99-year Leasehold | 2019 | Listed 17s ago | Royston Koh | /agent/royston-koh-215120 | Motivated Seller. Breezy. 1km Poi Ching, St Hilda, United World. | ![]() |
| Huge, Timeless And Pristine Terrace in D11 | Swiss View / Dunearn Road / Binjai Park | S$ 5,200,000 | 7 | 5 | 3609 | S$ 2,731.09 psf | Terraced House | 999-year Leasehold | - | Listed 20s ago | Bryan Ong | /agent/bryan-ong-12124961 | Pristine, Timeless, Spacious Terrace in District 11 for Sale | ![]() |
| CanningHill Piers | 177 River Valley Road | S$ 1,550,000 | 1 | 1 | 409 | S$ 3,789.73 psf | Condominium | 99-year Leasehold | - | Listed 34s ago | Benedict Lim | /agent/benedict-lim-379921 | Genuine subsale unit on super high floor! A unit not to be missed!! | ![]() |
| Upper Changi Road East 82223344 | Meragi Road, Upper Changi Road East, Jalan Pergam | S$ 8,250,000 | 7 | 7 | 7980 | S$ 2,240.63 psf | Semi-Detached House | Freehold | - | Listed 40s ago | Norman Tan | /agent/norman-tan-596135 | Premium Discount. Almost Sold. Full ID Luxury Deco. Value Worth. | ![]() |
Is It Legal to Scrape Data from PropertyGuru?
Scraping data from websites like PropertyGuru comes with legal and ethical considerations:
- Terms of Use Compliance: Always check PropertyGuru’s terms and conditions to ensure compliance.
- Use Case: Scraping publicly available data for personal or research purposes is generally acceptable. For commercial use, consult legal advice.
- Best Practices: Avoid excessive scraping that could disrupt their services or violate ethical guidelines.
Conclusion
The PropertyGuru Scraper is an indispensable tool for anyone looking to gather detailed and actionable real estate data. From analyzing market trends to finding your next property investment, this scraper simplifies and automates the data collection process.
Frequently Asked Questions
What is a PropertyGuru scraper used for?
A PropertyGuru scraper automatically extracts real estate listing data—property names, prices, sizes, agent details, and images—from PropertyGuru at scale. It's used by property investors, agents, market researchers, and proptech developers to build datasets for pricing analysis, trend tracking, and investment research without manual copy-pasting.
Does PropertyGuru offer a public API for developers?
PropertyGuru doesn't provide a widely available public API for general developer use, unlike some other platforms. This is why scraping tools are commonly used to collect listing data—property names, prices, agent info, and features—directly from the website, provided the scraping respects PropertyGuru's terms and rate limits.
What data can you extract from PropertyGuru listings?
You can extract property names and addresses, sale or rental prices, price per square foot, bedrooms and bathrooms, leasehold type and year built, agent name and profile link, listing descriptions, images, and how recently a listing was posted—useful for building a structured real estate dataset.
What format is PropertyGuru scraped data exported in?
PropertyGuru listing data is typically exported as JSON or CSV. JSON suits developers feeding data into apps, dashboards, or databases, while CSV is easier for spreadsheet-based market analysis. Both formats preserve structured fields like price, size, bedrooms, and agent details for straightforward downstream use.
How fresh is scraped PropertyGuru listing data?
Listings include a "time since posted" field (e.g., "Listed 20s ago"), so scraped data reflects PropertyGuru's real-time inventory at the moment of extraction. Because listings update frequently, scraping on a schedule—rather than a single one-off pull—gives a more accurate, current view of the market.
Can I scrape PropertyGuru without coding skills?
Yes. While developers can build custom scrapers with Python tools like Scrapy or Selenium, no-code platforms let anyone extract PropertyGuru data without programming. With MrScraper's ScrapeGPT, you paste a PropertyGuru listings URL, type a prompt like "Extract property details," and download the results as JSON or CSV.
How do I avoid getting blocked while scraping PropertyGuru?
Avoid sending excessive requests in a short time, add delays between page loads, and respect PropertyGuru's Terms of Service and any rate limits. Aggressive, high-volume scraping is the most common cause of IP bans. AI-powered tools like MrScraper handle throttling and anti-blocking automatically.
Can I extract real estate agent contact details from PropertyGuru?
You can extract publicly listed agent information such as name and profile link shown on each listing. Direct contact details like phone numbers or emails are typically not exposed on the listing page itself, so scraped data usually points to the agent's PropertyGuru profile rather than private contact info.
How is a PropertyGuru scraper different from scraping other property portals?
The core approach—extracting prices, features, and agent details—is similar across property portals, but each site structures listings differently and has its own Terms of Service. A PropertyGuru scraper is tuned to its specific page layout and fields (like leasehold type and PSF pricing), which are common in Southeast Asian property markets.
Summarize this use case
Open it in your assistant of choice with the prompt ready to send.
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Frequently asked questions
What is a PropertyGuru scraper used for?
A PropertyGuru scraper automatically extracts real estate listing data—property names, prices, sizes, agent details, and images—from PropertyGuru at scale. It's used by property investors, agents, market researchers, and proptech developers to build datasets for pricing analysis, trend tracking, and investment research without manual copy-pasting.
Is it legal to scrape data from PropertyGuru?
Scraping publicly available listing data for personal or research use is generally acceptable, but you should always review PropertyGuru's Terms of Service first. Commercial use may carry more legal risk, so consult legal advice. Avoid excessive request rates that could disrupt PropertyGuru's services or breach their usage terms.
Does PropertyGuru offer a public API for developers?
PropertyGuru doesn't provide a widely available public API for general developer use, unlike some other platforms. This is why scraping tools are commonly used to collect listing data—property names, prices, agent info, and features—directly from the website, provided the scraping respects PropertyGuru's terms and rate limits.
What data can you extract from PropertyGuru listings?
You can extract property names and addresses, sale or rental prices, price per square foot, bedrooms and bathrooms, leasehold type and year built, agent name and profile link, listing descriptions, images, and how recently a listing was posted—useful for building a structured real estate dataset.
What format is PropertyGuru scraped data exported in?
PropertyGuru listing data is typically exported as JSON or CSV. JSON suits developers feeding data into apps, dashboards, or databases, while CSV is easier for spreadsheet-based market analysis. Both formats preserve structured fields like price, size, bedrooms, and agent details for straightforward downstream use.
How fresh is scraped PropertyGuru listing data?
Listings include a 'time since posted' field (e.g., 'Listed 20s ago'), so scraped data reflects PropertyGuru's real-time inventory at the moment of extraction. Because listings update frequently, scraping on a schedule—rather than a single one-off pull—gives a more accurate, current view of the market.
Can I scrape PropertyGuru without coding skills?
Yes. While developers can build custom scrapers with Python tools like Scrapy or Selenium, no-code platforms let anyone extract PropertyGuru data without programming. With MrScraper's ScrapeGPT, you paste a PropertyGuru listings URL, type a prompt like 'Extract property details,' and download the results as JSON or CSV.
How do I avoid getting blocked while scraping PropertyGuru?
Avoid sending excessive requests in a short time, add delays between page loads, and respect PropertyGuru's Terms of Service and any rate limits. Aggressive, high-volume scraping is the most common cause of IP bans. AI-powered tools like MrScraper handle throttling and anti-blocking automatically.
Can I extract real estate agent contact details from PropertyGuru?
You can extract publicly listed agent information such as name and profile link shown on each listing. Direct contact details like phone numbers or emails are typically not exposed on the listing page itself, so scraped data usually points to the agent's PropertyGuru profile rather than private contact info.
How is a PropertyGuru scraper different from scraping other property portals?
The core approach—extracting prices, features, and agent details—is similar across property portals, but each site structures listings differently and has its own Terms of Service. A PropertyGuru scraper is tuned to its specific page layout and fields (like leasehold type and PSF pricing), which are common in Southeast Asian property markets.
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