Singapore HDB Resale Flat Prices Scraper

hipersoft/singapore-hdb-resale-flat-prices

Export every HDB resale flat transaction in Singapore (1990 to present, ~945k records): town, flat type, block, street, storey, floor area, lease, resale price, price per sqm and remaining lease. Filter by town, flat type, street, price and month. Public open data, no setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

100

Per transaction scraped

$0.002

Last rebuilt

Oct 26, 2026

Overview

Export every HDB resale flat transaction in Singapore — from 1990 to the present (~945,000 records) — into clean JSON, CSV or Excel. Each row has town, flat type, block & street, storey range, floor area, flat model, lease details, resale price, price per sqm and remaining lease. Powered by HDB's open data (data.gov.sg).

Perfect for property valuation, market research, price-trend analysis, renovation/agent tools and investment dashboards.

Singapore HDB Resale Flat Prices input — town, flat type and month range filters in the Apify Console

Why this actor

Unlike scrapers that only cover the latest dataset, this one unifies all of HDB's resale datasets (1990 → today) into a single feed, newest transactions first, and adds computed fields you'd otherwise have to derive yourself:

💲 pricePerSqm — resale price ÷ floor area
⏳ remainingLeaseYears — parsed from the data, or computed from the lease-commencement year for older records
🏠 Full record — month, town, flat type, block, street, storey range, floor area, flat model, lease commence year, resale price

Filters

town — e.g. TAMPINES, ANG MO KIO, BEDOK
flatType — e.g. 3 ROOM, 4 ROOM, 5 ROOM, EXECUTIVE
street — match block+street text
priceMin / priceMax — resale price range (S$)
monthFrom / monthTo — YYYY-MM range
maxItems — cap the export (full history ~945k)

Example input

{ "town": "TAMPINES", "flatType": "4 ROOM", "monthFrom": "2024-01", "maxItems": 2000 }

Output

Singapore HDB Resale Flat Prices output example — HDB resale transactions as structured JSON

{
  "month": "2026-07",
  "town": "TAMPINES",
  "flatType": "4 ROOM",
  "block": "123",
  "streetName": "SIMEI ST 1",
  "address": "123 SIMEI ST 1",
  "storeyRange": "10 TO 12",
  "floorAreaSqm": 104,
  "flatModel": "Model A",
  "leaseCommenceYear": 1987,
  "remainingLease": "61 years 04 months",
  "remainingLeaseYears": 61.4,
  "resalePrice": 653000,
  "pricePerSqm": 6279,
  "sourceUrl": "https://data.gov.sg/collections/189/view",
  "collectedAt": "2026-07-30T12:00:00.000Z"
}

Output schema

Field	Type	Description
`id`	string	Unique record ID for the transaction.
`month`	string	Transaction month (YYYY-MM).
`town`	string	HDB town, e.g. TAMPINES.
`flatType`	string	Flat type, e.g. 4 ROOM.
`block`	string	Block number.
`streetName`	string	Street name.
`address`	string	Full address (block + street).
`storeyRange`	string	Storey band of the flat, e.g. 10 TO 12.
`floorAreaSqm`	integer	Floor area in square metres.
`flatModel`	string	HDB flat model, e.g. Model A.
`leaseCommenceYear`	integer	Year the flat's 99-year lease began.
`remainingLease`	string	Remaining lease as text (years and months).
`remainingLeaseYears`	number	Remaining lease in decimal years.
`resalePrice`	integer	Resale transaction price in SGD.
`pricePerSqm`	integer	Resale price per square metre in SGD.
`sourceUrl`	string (URL)	data.gov.sg source the record was pulled from.
`collectedAt`	string (ISO date)	When this Actor collected the record.

FAQ

Do I need an account or API key? No. Set your filters and run — no login, account, or API key is required.

How far back does the data go? Every HDB resale transaction from 1990 to the present (around 945,000 records), returned newest first.

Can I filter by town, flat type or price? Yes. Filter by town, flatType, street, a priceMin/priceMax range and a monthFrom/monthTo window, and cap the export with maxItems.

What's the output format? Structured JSON — one clean record per transaction with town, flat type, address, floor area, lease details, resale price and price per sqm. Export it as JSON, CSV, Excel, or via the API.

Can I integrate this with other tools? The Singapore HDB Resale Flat Prices Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Data is © HDB, published under the Singapore Open Data Licence (commercial reuse permitted). Use responsibly and in line with the licence terms.

Input

Field	Type	Description
`town` Town	string	Filter by HDB town, e.g. ANG MO KIO, TAMPINES, BEDOK. Leave empty for all.
`flatType` Flat type	string	Filter by flat type, e.g. 3 ROOM, 4 ROOM, 5 ROOM, EXECUTIVE. Leave empty for all.
`street` Street contains	string	Match transactions whose block+street contains this text. Leave empty for all.
`priceMin` Min resale price (S$)	integer	Only transactions at or above this resale price.
`priceMax` Max resale price (S$)	integer	Only transactions at or below this resale price.
`monthFrom` Month from (YYYY-MM)	string	Earliest transaction month, e.g. 2020-01.
`monthTo` Month to (YYYY-MM)	string	Latest transaction month, e.g. 2026-07.
`maxItems` Max transactions	integer	Maximum transactions to return (newest first). Full history is ~945k. Default: `1000`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~singapore-hdb-resale-flat-prices/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "town": "",
  "flatType": "",
  "street": "",
  "monthFrom": "",
  "monthTo": "",
  "maxItems": 100
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/singapore-hdb-resale-flat-prices").call(run_input={
    "town": "",
    "flatType": "",
    "street": "",
    "monthFrom": "",
    "monthTo": "",
    "maxItems": 100
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/singapore-hdb-resale-flat-prices').call({
  "town": "",
  "flatType": "",
  "street": "",
  "monthFrom": "",
  "monthTo": "",
  "maxItems": 100
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Transaction scraped One HDB resale transaction record scraped.	$0.002	$0.001
API request One HDB resale dataset API request (a page of results).	$0.001	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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