Singapore property data, without the spreadsheet archaeology.

PropertyGuru lists nearly every condo, HDB flat and landed house for sale or rent in Singapore — but its search pages render client-side behind aggressive bot detection, so "just fetch the HTML" returns empty divs. This actor drives a real browser through a residential proxy, waits for the results to paint, then reads the structured listing JSON the site embeds for itself.

Point it at a listing type and an area:

{
  "listingType": "sale",
  "query": "orchard",
  "maxItems": 50
}

One row per listing:

{
  "portal": "propertyguru",
  "district": "D09",
  "district_name": "Orchard / River Valley",
  "property_type": "CONDO",
  "price": 2599999,
  "bedrooms": 3,
  "bathrooms": 2,
  "size_sqft": 764,
  "tenure": "Freehold"
}

Where it earns its keep

PSF benchmarking per district: the standard Singapore comparison metric, computed across whole areas instead of cherry-picked listings. Investment screening: filter by tenure (freehold vs leasehold), bedroom count and floor size at scale. Rental-yield estimates: pair sale prices from this actor with rental asks from a second run. Market monitoring: schedule runs on a search and track which listings appear and disappear.

The honest limits: PropertyGuru hard-blocks datacenter IPs, so residential proxies with a Singapore exit are required — the actor defaults to Apify's RESIDENTIAL group pinned to SG. Prices are asking prices at run time, not transaction records; schedule runs if you want movement over time.