# Singapore HDB Resale Flat Prices Scraper (`scrapers_lat/singapore-hdb-resale-prices-scraper`) Actor
Scrape Singapore HDB resale flat transactions from the official data.gov.sg open data portal. Get town, flat type, block, street, storey range, floor area, remaining lease and resale price. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/singapore-hdb-resale-prices-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/07KJgwQp0zUywsdx0/input)
## Singapore HDB Resale Flat Prices Scraper
> Pull Singapore HDB resale flat transactions from the official data.gov.sg open data portal. Filter by town, flat type, street or price and get the resale price, floor area, storey range and remaining lease for every deal. No login, no API key.
### What you get
One record per resale flat transaction, straight from the official HDB resale price dataset published on data.gov.sg. Each row is a real sale at address level, going back to 2017 across every HDB town. Built for property analysis, valuation and market research.
- **month**: the transaction month (for example 2024-03)
- **town**: the HDB town (for example ANG MO KIO, TAMPINES)
- **flatType**: the flat type (for example 3 ROOM, 4 ROOM, EXECUTIVE)
- **block**: the block number
- **streetName**: the street the flat is on
- **storeyRange**: the storey band (for example 10 TO 12)
- **floorAreaSqm**: the floor area in square metres (numeric)
- **flatModel**: the HDB flat model (for example Improved, New Generation)
- **leaseCommenceDate**: the year the 99 year lease started
- **remainingLease**: the remaining lease at sale (for example 61 years 04 months)
- **resalePrice**: the resale price in SGD (numeric)
- **observedAt**: when this record was collected
### How it works
| Input | What it does |
|---|---|
| `town` | Keep only one HDB town, exact match (for example TAMPINES). |
| `flatType` | Keep only one flat type, exact match (for example 4 ROOM). |
| `searchQuery` | Free-text search across the transaction, for example a street or block. |
| `minPrice` | Keep only sales at or above this resale price in SGD. |
| `maxPrice` | Keep only sales at or below this resale price in SGD. |
| `sortByNewest` | Return the most recently added transactions first. |
| `maxItems` | Cap the number of records collected. |
The data comes from the official Singapore open data portal. Anonymous access is rate limited, so large pulls are paced automatically.
### Use cases
| Use case | Who it is for |
|---|---|
| Benchmark resale prices by town and flat type | Buyers, sellers and agents |
| Build a price per square metre model | Valuers and analysts |
| Track price trends over time | Researchers and economists |
| Feed a property valuation product | PropTech teams |
| Compare blocks and streets in a town | House hunters |
### Frequently Asked Questions
**Where does the data come from?**
The official data.gov.sg "Resale Flat Prices" dataset, published by the Housing and Development Board (HDB). It lists completed resale transactions at address level.
**Does it need a login or API key?**
No. It reads the public open data portal with no account and no key.
**How far back does it go?**
This dataset covers transactions from 2017 onward, with around 234,000 records and counting.
**Does it include the exact unit or buyer?**
No. HDB publishes block, street, storey band and flat details, not the unit number or any personal information.
**How fresh is it?**
HDB refreshes the source dataset on a rolling basis, roughly monthly.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Singapore HDB Resale Flat Prices in Tampines](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-tampines): Get HDB resale flat prices in Tampines, with block, street, flat type, floor area, storey range and transacted price.
- [Singapore HDB Resale Flat Prices in Ang Mo Kio](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-ang-mo-kio): Track HDB resale flat prices in Ang Mo Kio, with block, street, flat type, storey range and transacted resale price.
- [Singapore HDB Resale Flat Prices in Punggol](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-punggol): Get HDB resale flat prices in Punggol, with flat type, block, street, floor area, remaining lease and resale price.
- [Singapore HDB Resale Flat Prices in Bedok](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-bedok): Track HDB resale flat prices in Bedok, with block, street, flat type, storey range, floor area and resale price.
- [Singapore HDB 4 Room Resale Prices in Woodlands](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-4-room-woodlands): Get 4 room HDB resale prices in Woodlands, with block, street, floor area, storey range and transacted resale price.
- [Singapore HDB 5 Room Resale Prices in Sengkang](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-5-room-sengkang): Track 5 room HDB resale prices in Sengkang, with block, street, floor area, remaining lease and resale price.
- [Singapore HDB 3 Room Resale Prices in Toa Payoh](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-3-room-toa-payoh): Get 3 room HDB resale prices in Toa Payoh, with block, street, storey range, floor area and transacted resale price.
- [Singapore HDB Executive Resale Prices in Jurong West](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-executive-jurong-west): Track executive HDB resale prices in Jurong West, with block, street, floor area, remaining lease and resale price.
- [Singapore HDB Resale Flat Prices in Yishun](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-yishun): Get HDB resale flat prices in Yishun, with flat type, block, street, storey range, floor area and resale price.
- [Singapore HDB Resale Flat Prices in Queenstown](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper/examples/singapore-hdb-resale-prices-queenstown): Track HDB resale flat prices in Queenstown, with block, street, flat type, floor area and transacted resale price.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Singapore GeBIZ Government Contracts Scraper](https://apify.com/scrapers_lat/singapore-gebiz-contracts-scraper): Singapore government awarded contracts with agency, supplier and amount.
- [Zillow Property Scraper](https://apify.com/scrapers_lat/zillow-property-scraper): US home listings with price, beds, baths and address.
- [Realtor.com Scraper](https://apify.com/scrapers_lat/realtor-com-scraper): US real estate listings with price and property details.
- [LoopNet Commercial Real Estate Scraper](https://apify.com/scrapers_lat/loopnet-scraper): US commercial listings with price and broker details.
- [Idealista Property Scraper](https://apify.com/scrapers_lat/idealista-scraper): Spanish real estate listings with price and location.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms across the world: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with HDB, the Housing and Development Board or the Government of Singapore. It only accesses data published openly on data.gov.sg. Use it in accordance with the portal's terms.
# Actor input Schema
## `town` (type: `string`):
Filter to one HDB town, exact match (for example "ANG MO KIO", "TAMPINES", "BEDOK", "WOODLANDS"). Use the town names exactly as HDB writes them, in upper case. Leave empty for all towns.
## `flatType` (type: `string`):
Filter to one flat type, exact match (for example "3 ROOM", "4 ROOM", "5 ROOM", "EXECUTIVE"). Leave empty for all flat types.
## `searchQuery` (type: `string`):
Free-text search across the transaction, for example a street name or block ("ANG MO KIO AVE 10", "406"). Leave empty to pull without a keyword filter.
## `minPrice` (type: `integer`):
Only keep transactions with a resale price of at least this amount in SGD. Optional.
## `maxPrice` (type: `integer`):
Only keep transactions with a resale price of at most this amount in SGD. Optional.
## `sortByNewest` (type: `boolean`):
Return the most recently added transactions first. Turn off to read in the source order.
## `maxItems` (type: `integer`):
Maximum number of resale transactions to collect. The portal rate-limits anonymous access, so very large pulls are paced automatically.
## Actor input object example
```json
{
"sortByNewest": true,
"maxItems": 1000
}
````
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"town": "",
"flatType": "",
"searchQuery": "",
"maxItems": 1000
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/singapore-hdb-resale-prices-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"town": "",
"flatType": "",
"searchQuery": "",
"maxItems": 1000,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/singapore-hdb-resale-prices-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"town": "",
"flatType": "",
"searchQuery": "",
"maxItems": 1000
}' |
apify call scrapers_lat/singapore-hdb-resale-prices-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/singapore-hdb-resale-prices-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Singapore HDB Resale Flat Prices Scraper",
"description": "Scrape Singapore HDB resale flat transactions from the official data.gov.sg open data portal. Get town, flat type, block, street, storey range, floor area, remaining lease and resale price. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "5mpabpB3qS46TEBsH"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~singapore-hdb-resale-prices-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-singapore-hdb-resale-prices-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~singapore-hdb-resale-prices-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-singapore-hdb-resale-prices-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~singapore-hdb-resale-prices-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-singapore-hdb-resale-prices-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"town": {
"title": "Town",
"type": "string",
"description": "Filter to one HDB town, exact match (for example \"ANG MO KIO\", \"TAMPINES\", \"BEDOK\", \"WOODLANDS\"). Use the town names exactly as HDB writes them, in upper case. Leave empty for all towns."
},
"flatType": {
"title": "Flat type",
"type": "string",
"description": "Filter to one flat type, exact match (for example \"3 ROOM\", \"4 ROOM\", \"5 ROOM\", \"EXECUTIVE\"). Leave empty for all flat types."
},
"searchQuery": {
"title": "Search keyword",
"type": "string",
"description": "Free-text search across the transaction, for example a street name or block (\"ANG MO KIO AVE 10\", \"406\"). Leave empty to pull without a keyword filter."
},
"minPrice": {
"title": "Minimum resale price (SGD)",
"minimum": 0,
"type": "integer",
"description": "Only keep transactions with a resale price of at least this amount in SGD. Optional."
},
"maxPrice": {
"title": "Maximum resale price (SGD)",
"minimum": 0,
"type": "integer",
"description": "Only keep transactions with a resale price of at most this amount in SGD. Optional."
},
"sortByNewest": {
"title": "Newest first",
"type": "boolean",
"description": "Return the most recently added transactions first. Turn off to read in the source order.",
"default": true
},
"maxItems": {
"title": "Max items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of resale transactions to collect. The portal rate-limits anonymous access, so very large pulls are paced automatically."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```