New: Singapore Rental Market Tracker — URA Rents as Clean JSON

NexGenData

What it does This actor tracks Singapore URA rental contracts and monthly rents and...

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 rent
district / district_name / postal_district
project_or_town and block
property_type
lease_start_date and lease_duration_months
data_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 →

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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.