What it does
This actor tracks Singapore URA rental contracts and monthly rents and returns them as clean JSON — one record per rental contract, 16 fields per record. It is built for analysts, researchers, fintech builders and AI agents that need Singapore leasing data without scraping the URA portal themselves.
Who it's for
Property analysts benchmarking asking rents, researchers studying the Singapore rental cycle, proptech and fintech teams feeding pricing models, and AI agents answering questions like “what do District 10 condos rent for this month?”
Sample fields / output
monthly_rent_sgd — contracted monthly rentdistrict / district_name / postal_districtproject_or_town and blockproperty_typelease_start_date and lease_duration_monthsdata_source — provenance on every record
Example use cases
- Rental benchmarking: pull District 9/10/11 condo contracts monthly and chart median rents by project.
- Investment underwriting: feed real contracted rents (not listings) into yield models.
- Agent pipelines: schedule a recurring pull and let an LLM summarise rental momentum by town.
Try Singapore Rental Market Tracker on Apify →
Related actors
- Singapore URA Private Property Transactions
- Singapore HDB Resale Prices
- Singapore URA Commercial Property Caveats
FAQ
Where does the data come from?
Public Singapore URA sources; every record carries a data_source field.
What does it cost?
US$0.05 per record (pay-per-event) — about 20 records per dollar.
Can AI agents call it?
Yes — structured JSON works with Claude, the OpenAI Agents SDK, n8n and MCP clients, and it supports x402 agentic payments in USDC with no API key.
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
See also: New — Singapore HDB Resale Prices API — PSF & Lease Data in JSON
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