What it does
This actor tracks Singapore HDB resale prices with price-per-sqft and lease detail, returning one clean JSON record per transaction (17 fields). It includes an is_million_dollar_flat flag for the market's most-watched segment.
Who it's for
Housing researchers, journalists covering the million-dollar-flat story, mortgage and proptech teams modelling HDB values, and AI agents answering “what did 5-room flats in Bishan sell for?”
Sample fields / output
address, block and flat_type / flat_modelfloor_area_sqft / floor_area_sqmprice_per_sqft_sgdlease_commence_year — for lease-decay analysisis_million_dollar_flat — headline segment flagdata_source — provenance on every record
Example use cases
- Million-dollar-flat tracking: filter the flag and chart the trend by town.
- Lease-decay research: join price_per_sqft_sgd against lease_commence_year.
- Valuation feeds: schedule monthly pulls into an AVM or dashboard.
Try Singapore HDB Resale Prices API on Apify →
Related actors
- Singapore URA Private Property Transactions
- Singapore Rental Market Tracker
- Singapore URA Commercial Property Caveats
FAQ
Where does the data come from?
Public Singapore sources; every record carries a data_source field.
What does it cost?
US$0.05 per transaction (pay-per-event) — about 20 transactions per dollar.
Can AI agents call it?
Yes — clean JSON for Claude, OpenAI Agents SDK, n8n and MCP clients, plus x402 agentic payments in USDC.
See also: New — Singapore Rental Market Tracker — URA Rents as Clean JSON
See also: New — Singapore URA Commercial Property Caveats API — CBD & Shophouse Deals in JSON
See also: New — Singapore URA Private Property Transactions API — Caveats as Clean JSON
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