Singapore HDB Flat Rental Prices Scraper

Here is one real result, with every field the actor returns:

{
  "rentApprovalDate": "2026-07",
  "town": "ANG MO KIO",
  "block": "646",
  "streetName": "ANG MO KIO AVE 6",
  "flatType": "3-ROOM",
  "monthlyRent": 2950,
  "annualRent": 35400,
  "currency": "SGD",
  "fullAddress": "646 ANG MO KIO AVE 6",
  "postalCode": "560646",
  "latitude": 1.37939517687868,
  "longitude": 103.843763599411,
  "formattedAddress": "646 ANG MO KIO AVENUE 6 ANG MO KIO 61 SINGAPORE 560646",
  "source": "Singapore HDB rental transactions (data.gov.sg)",
  "observedAt": "2026-08-10T14:17:24.536Z"
}

The most complete Singapore HDB flat rental scraper available. It returns every field the official HDB rental transaction feed exposes for each approved rental, plus an annualized rent and OneMap geocoding (postal code, latitude, longitude, formatted address), and gives you six filters to target exactly the rentals you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor reads the official HDB approved rental transactions (renting out of flats) published on the government open-data portal (data.gov.sg), applies the filters you pass as input, paginates through matching rentals, and writes one normalized record per approved rental to the run's dataset. Each record carries the rent approval month, town, block, street, flat type and monthly rent. On top it computes the annual rent, and geocodes each address through Singapore's official OneMap service to add postal code, latitude, longitude and a formatted address. Rents are in Singapore dollars (currency is always SGD).

The portal rate-limits anonymous access, so large pulls are paced automatically. Data covers Singapore HDB approved rental transactions only.

Quickstart

Open the actor, paste this into the input, and press Run. It returns the 10 most recent approved HDB rentals.

{
  "maxRecords": 10,
  "sortByNewest": true
}

Leave the filters empty to pull the full rental history. Every input field is optional; with an empty input the actor returns the most recent rentals (default maxRecords is 10).

Input reference

Field	Type	Required	Default	Description
maxRecords	integer	no	10	Maximum number of rental records to collect. The portal rate-limits anonymous access, so very large pulls are paced automatically.
town	string	no	(all)	Filter by HDB town, exact match, for example TAMPINES, ANG MO KIO, BEDOK. Case is normalized automatically. Leave empty for all towns.
flatType	string	no	(all)	Filter by flat type, exact match, for example 3-ROOM, 4-ROOM, 5-ROOM, EXECUTIVE. Leave empty for all flat types.
searchQuery	string	no	(empty)	Free-text filter across all fields: town, block, street name or flat type, for example TAMPINES ST 11. Leave empty to pull the full rental history.
minRent	integer	no	(none)	Only keep rentals with a monthly rent of at least this amount in SGD.
maxRent	integer	no	(none)	Only keep rentals with a monthly rent of at most this amount in SGD.
sortByNewest	boolean	no	true	Return the most recently added rental transactions first. Turn off to read in the source order.

Filters combine with logical AND. If you pass no filters, the actor returns the full rental history newest first, up to maxRecords.

Output reference

One dataset item per approved rental. Types: string, integer, number, or null when the source value is absent.

Field	Type	Description
rentApprovalDate	string	Month the rental was approved, in YYYY-MM format.
town	string	HDB town, for example ANG MO KIO.
block	string	Block number.
streetName	string	Street name.
flatType	string	Flat type, for example 3-ROOM, 4-ROOM, EXECUTIVE.
monthlyRent	integer	Approved monthly rent in Singapore dollars.
annualRent	integer	monthlyRent multiplied by 12, or null if the rent is missing.
currency	string	Currency of the rent fields. Always SGD.
fullAddress	string	Block and street joined into a single address string.
postalCode	string	Singapore 6-digit postal code from OneMap geocoding, or null.
latitude	number	Latitude from OneMap geocoding, or null if the address could not be resolved.
longitude	number	Longitude from OneMap geocoding, or null.
formattedAddress	string	Standardized address returned by OneMap, or null.
source	string	Data source label. Always the HDB rental transactions via data.gov.sg.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	Present only on a failed run: a single item with a populated error field is written instead of results.

Example output record

Real record from a live run (input {"maxRecords": 10, "sortByNewest": true}):

{
  "rentApprovalDate": "2026-07",
  "town": "ANG MO KIO",
  "block": "646",
  "streetName": "ANG MO KIO AVE 6",
  "flatType": "3-ROOM",
  "monthlyRent": 2950,
  "annualRent": 35400,
  "currency": "SGD",
  "fullAddress": "646 ANG MO KIO AVE 6",
  "postalCode": "560646",
  "latitude": 1.37939517687868,
  "longitude": 103.843763599411,
  "formattedAddress": "646 ANG MO KIO AVENUE 6 ANG MO KIO 61 SINGAPORE 560646",
  "source": "Singapore HDB rental transactions (data.gov.sg)",
  "observedAt": "2026-08-10T14:17:24.536Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~singapore-hdb-rental-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"town":"TAMPINES","flatType":"4-ROOM","maxRecords":50}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~singapore-hdb-rental-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"minRent":2500,"maxRent":3500,"maxRecords":500}'

Apify CLI:

apify call scrapers_lat/singapore-hdb-rental-scraper \
  --input '{"town":"ANG MO KIO"}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per record returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 records per run. Upgrade for higher maxRecords.
• Source rate limit. The data.gov.sg portal throttles anonymous access, so large pulls are paced automatically (about one page every 10 seconds).

FAQ and troubleshooting

A run returned 0 records. Why? The filter matched nothing. Check the exact town or flatType spelling, widen the rent range, or leave the filters empty. Zero-result runs are not charged.

How do I compare rents in one town? Set town to the exact town name, optionally add flatType, and set maxRecords high to pull the full history for that town.

Why is latitude or postalCode null? The OneMap geocoder could not resolve that block and street. Missing values are returned as null, never invented.

Is annualRent an official figure? No. It is a convenience field equal to monthlyRent multiplied by 12. Only monthlyRent comes from the source.

Is this an official HDB tool? No. This actor is independent and has no affiliation with the Housing & Development Board. It reads only data that is publicly available through the official government open-data portal (data.gov.sg) and OneMap.

Related scrapers

• Singapore HDB Resale Prices Scraper: HDB resale flat transaction prices.
• Singapore PropertyGuru Scraper: property listings with agent contacts.
• Singapore URA Property Scraper: private property transactions and rentals.
• Singapore CEA Estate Agents Scraper: licensed estate agents and salespersons.
• Singapore COE Prices & Bidding Results Scraper: COE bidding results and premiums.

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Independent tool, not affiliated with the Housing & Development Board (HDB). Accesses only publicly available data from the official government open-data portal (data.gov.sg) and OneMap.