# Singapore URA Private Property Transactions & Rentals Scraper (`scrapers_lat/singapore-ura-property-scraper`) Actor
Scrape official Singapore URA private residential sale transactions (price, area, $psf, floor, district, tenure, sale type, contract date) and rental contracts (rent, bedrooms, lease month). Filter by project, district, type, price and date. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/singapore-ura-property-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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
## Singapore URA Private Property Transactions & Rentals Scraper
> Pull official Singapore URA private residential data: unit-level sale transactions (project, street, price, area in sqm and sqft, price per square foot, floor range, district, property type, tenure, sale type and contract month) and rental contracts (monthly rent, bedrooms, area range and lease month). Filter by project, street, district, property type, market segment, sale type, tenure, price, area and date, and export clean structured data for property research, valuation and market analysis.
**📥 [Input](https://apify.com/scrapers_lat/singapore-ura-property-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/singapore-ura-property-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/singapore-ura-property-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/singapore-ura-property-scraper/examples)**
Sales & rentals in one actor
Price, $PSF, area, floor, tenure plus rent & bedrooms
JSON / CSV / Excel output formats
### What you get
Two official private residential datasets in a single actor, cleaned and normalized:
- **Sale transactions** (last 5 years): `project`, `street`, `district`, `marketSegment` (CCR/RCR/OCR), `propertyType`, `tenure` and `tenureType`, `saleTypeLabel` (New Sale / Sub Sale / Resale), `floorRange`, `noOfUnits`, `areaSqm` and `areaSqft`, `priceSgd`, `nettPriceSgd`, `pricePsfSqft`, `pricePsm`, and `contractMonth`.
- **Rental contracts** (by quarter): `project`, `street`, `district`, `propertyType`, `noOfBedRoom`, `rentSgd`, area range in sqm and sqft, `rentPsfSqftApprox` and `leaseMonth`.
Every price and area is parsed to clean numbers, square metres are converted to square feet, and price per square foot / per square metre are computed for you.
### Who is it for
| Use case | Who benefits |
|---|---|
| Valuation & comparables | Agents, valuers and banks pulling recent sale and rent comps by project or district |
| Market research | Proptech, analysts and funds tracking prices, rents and $PSF over time |
| Investment screening | Investors comparing yields across segments (CCR/RCR/OCR), tenures and property types |
| Dashboards & models | Builders feeding clean transaction and rental data into their own apps |
### How to use it
1. Get a **free URA AccessKey**: register for the URA Data Service on ura.gov.sg. URA emails you an AccessKey once your account is approved.
2. Paste your AccessKey into the **URA Access Key** field. The actor exchanges it for a daily token automatically, so you never manage tokens.
3. Choose a **dataset** (sale transactions or rental contracts), add any **filters** (district, project, property type, price, area, dates and more), set **Max Property Records** and run.
4. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Do I need an API key?**
Yes, a free URA AccessKey that you register for yourself. It stays private to your run. The actor never ships fake or sample data: if no key is supplied, it returns a clear message and does not charge you.
**Will I be charged for empty or failed runs?**
No. You are billed only per real property record returned. If a run finds no matching records or cannot authenticate, no records are charged.
**How far back does the data go?**
Sale transactions cover roughly the last five years. Rental contracts are pulled by quarter; by default the most recent quarters are fetched, or you can list specific quarters.
**Can I get only one district, project or property type?**
Yes. Filter by district, project name, street, property type, market segment, sale type, tenure, price range, area range, bedrooms and month range.
**What do CCR, RCR and OCR mean?**
They are URA market segments: Core Central Region, Rest of Central Region and Outside Central Region.
### 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. 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
- [Singapore HDB Resale Flat Prices Scraper](https://apify.com/scrapers_lat/singapore-hdb-resale-prices-scraper)
- [Singapore HDB Flat Rental Prices Scraper](https://apify.com/scrapers_lat/singapore-hdb-rental-scraper)
- [Singapore PropertyGuru Listings Scraper](https://apify.com/scrapers_lat/singapore-propertyguru-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with the Urban Redevelopment Authority (URA) or the Government of Singapore. It accesses the official URA Data Service using an AccessKey that you register for yourself. Use the results in accordance with the source's terms and the Singapore Open Data Licence.
# Actor input Schema
## `dataType` (type: `string`):
Which URA private residential dataset to pull: unit-level sale transactions (last 5 years) or rental contracts (by quarter).
## `uraAccessKey` (type: `string`):
Your free URA Data Service AccessKey. Register at ura.gov.sg (Digital Services > URA Data Service); URA emails you an AccessKey once approved. The actor exchanges it for a daily token automatically. Required.
## `maxRecords` (type: `integer`):
Maximum number of transaction or rental records to return across the run.
## `batches` (type: `array`):
Sale transactions only. URA splits its 5-year transaction dataset into 4 batches. Leave empty to pull all four; or list specific batches like 1, 2.
## `refPeriods` (type: `array`):
Rental contracts only. Quarters to pull in yyqq format, for example 24q2, 24q1. Leave empty to pull the most recent quarters automatically.
## `quartersBack` (type: `integer`):
Rental contracts only. When no specific quarters are listed, how many recent quarters to pull.
## `projectNames` (type: `array`):
Keep only records whose project name contains any of these (case-insensitive partial match), for example 'The Sail', 'Reflections'.
## `streetKeyword` (type: `string`):
Keep only records whose street contains this text, for example 'Orchard'.
## `districts` (type: `array`):
Filter by URA postal district, for example 09, 10, 15 (or D09). Leave empty for all districts.
## `propertyTypes` (type: `array`):
Filter by property type, for example Condominium, Apartment, Terrace, Detached, Semi-detached, Executive Condominium (sales); or Non-landed Properties, Landed Properties (rentals). Partial match.
## `marketSegments` (type: `array`):
Sale transactions only. Filter by market segment: CCR (Core Central Region), RCR (Rest of Central Region), OCR (Outside Central Region).
## `saleTypes` (type: `array`):
Sale transactions only. Filter by sale type: newSale, subSale or resale.
## `tenure` (type: `string`):
Sale transactions only. Filter by tenure.
## `minPrice` (type: `integer`):
Sale transactions only. Keep only transactions at or above this total price.
## `maxPrice` (type: `integer`):
Sale transactions only. Keep only transactions at or below this total price.
## `minRent` (type: `integer`):
Rental contracts only. Keep only contracts at or above this monthly rent.
## `maxRent` (type: `integer`):
Rental contracts only. Keep only contracts at or below this monthly rent.
## `minAreaSqft` (type: `integer`):
Keep only records with floor area at or above this many square feet.
## `maxAreaSqft` (type: `integer`):
Keep only records with floor area at or below this many square feet.
## `bedrooms` (type: `array`):
Rental contracts only. Filter by number of bedrooms, for example 1, 2, 3.
## `fromMonth` (type: `string`):
Keep only records whose contract/lease month is at or after this month, for example 2024-01.
## `toMonth` (type: `string`):
Keep only records whose contract/lease month is at or before this month, for example 2024-12.
## Actor input object example
```json
{
"dataType": "transactions",
"maxRecords": 50,
"batches": [],
"refPeriods": [],
"quartersBack": 4,
"projectNames": [],
"districts": [],
"propertyTypes": [],
"marketSegments": [],
"saleTypes": [],
"tenure": "any",
"bedrooms": []
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"maxRecords": 50,
"batches": [],
"refPeriods": [],
"quartersBack": 4,
"projectNames": [],
"districts": [],
"propertyTypes": [],
"marketSegments": [],
"saleTypes": [],
"bedrooms": []
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/singapore-ura-property-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 = {
"maxRecords": 50,
"batches": [],
"refPeriods": [],
"quartersBack": 4,
"projectNames": [],
"districts": [],
"propertyTypes": [],
"marketSegments": [],
"saleTypes": [],
"bedrooms": [],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/singapore-ura-property-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxRecords": 50,
"batches": [],
"refPeriods": [],
"quartersBack": 4,
"projectNames": [],
"districts": [],
"propertyTypes": [],
"marketSegments": [],
"saleTypes": [],
"bedrooms": []
}' |
apify call scrapers_lat/singapore-ura-property-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/singapore-ura-property-scraper"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/dZNmAD6zziKeymvWg/builds/0PTgoi0LiBIxzSKxI/openapi.json