New: Singapore URA Private Property Transactions API — Caveats as Clean JSON

What it does

This actor tracks Singapore URA private-property transactions (caveats) and returns one JSON record per transaction with 17 fields, including convenience flags like is_luxury and is_new_sale so you can segment the market instantly.

Who it's for

Residential property analysts, agencies benchmarking new launches against resales, researchers tracking the private housing cycle, and AI-agent builders answering questions like “what sold in District 9 this quarter?”

Sample fields / output

• project_name, district and district_name
• area_sqft / area_sqm
• floor_level and completion_date
• is_luxury — luxury segment flag
• is_new_sale — new sale vs resale
• data_source — provenance on every record

Example use cases

• Launch tracking: filter is_new_sale to watch developer sell-through at new projects.
• Comps and PSF analysis: pull District 9/10 transactions each quarter with area for price-per-sqft.
• Luxury market watch: monitor is_luxury deals for wealth-market research.

Try Singapore URA Private Property Transactions API on Apify →

Related actors

• Singapore HDB Resale Prices
• Singapore Rental Market Tracker
• Singapore URA Commercial Property Caveats

FAQ

How is this different from the commercial caveats actor?

This one covers private residential transactions; the sibling actor covers commercial-property caveats such as offices and shophouses.

What does it cost?

US$0.10 per transaction (pay-per-event) — about 10 transactions per dollar.

Can AI agents call it?

Yes — structured JSON for LLM and MCP pipelines, with x402 agentic payments supported.

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 HDB Resale Prices API — PSF & Lease Data in JSON