URA Singapore Property Scraper — Prices, Transactions & Rentals
Pricing
from $2.00 / 1,000 output rows
Scrape Singapore private property data from URA's own PMI service: unit-level sale transactions with floor range, area and price PSF, quarterly median and 25th/75th percentile rents, and project summaries with market segment and tenure. By project, street, district 01-28 or island-wide.
Pick specific private residential projects to fetch directly. List is sourced from URA's own project index.
[]Pick specific streets to fetch transactions/rentals for (best-effort; URA's street search is stricter than project search and may return no rows for some streets).
[]Free-text search, same as the search box in the URA PMI app -- case-insensitive substring match against project names and street names in the bundled index (e.g. "sail" finds "THE SAIL @ MARINA BAY"). Combine with districts to scope the search to specific districts.
Pick one or more URA postal districts. Every project in these districts (per the bundled project index) is resolved and fetched. Combine with maxProjects to cap run size.
[]Fetch every project in the bundled index (~3,200 projects island-wide) instead of a specific list/district. This is a long, heavy run -- use maxProjects to cap it, and prefer scoping by district when possible.
Safety cap on the number of resolved projects/streets to actually fetch (0 = no cap). Recommended when using districts or crawlAll.
Fetch project-level summary: last transacted price, last median rental, market segment, tenure. Only works with project name lookups (not street name).
Fetch unit-level sale transaction history (floor range, area, price, PSF, period).
Fetch quarterly rental price statistics (median, 25th/75th percentile PSF/month).
How many months of sale transactions to request, counting back from the current month. URA appears to cap actual results at the project's full available history regardless of this value.
How many quarters of rental statistics to request, counting back from the current quarter.
How many projects to fetch in parallel. Keep modest -- this is a public government service, not built for bulk traffic.