Singapore Hawker Centres & Closure Calendar

hipersoft/sg-hawker-scraper

All Singapore hawker centres (official NEA data) with location, stall counts, status, photo — joined with the official cleaning-closure calendar: is it closed today, when it next closes and reopens. No setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per centre returned

$0.003

Last rebuilt

Oct 28, 2026

Overview

Every Singapore hawker centre with its location, stall counts, status and photo — joined with the official cleaning-closure calendar so each record tells you whether it's closed today, when it next closes, and when it reopens. Clean JSON, CSV or Excel. Built from Singapore's official NEA open data, licensed for commercial reuse. No key, no login.

Great for food & tourism apps, maps, delivery/logistics, and "is it open today?" features.

Singapore Hawker Centres Scraper input — keyword and open/closed-today filters in the Apify Console

What you get

🍜 ~130 hawker centres — name, address, postal code, coordinates, status, cooked-food & market stall counts, photo
📅 Live closure calendar — isClosedToday, currentClosureEnd, nextClosureStart, nextClosureEnd, nextClosureReason, plus the full quarterly closures list
🔎 Filters — keyword, only-open-today, only-closed-today
🧾 Provenance — stable id, sourceUrl, collectedAt on every row
⚖️ Official & reusable — Singapore Open Data Licence

Why it's more than a file dump

This Actor joins two official datasets (hawker-centre locations + quarterly cleaning dates) and computes actionable calendar fields against today's date — so you don't have to parse four cleaning quarters yourself.

Example input

{ "openOnly": true }

Output

Singapore Hawker Centres Scraper output example — centres with closure calendar as structured JSON

{
  "id": "sghc-12",
  "name": "Adam Road Food Centre",
  "address": "2, Adam Road",
  "postalCode": "289876",
  "latitude": 1.3241,
  "longitude": 103.8142,
  "status": "Existing",
  "cookedFoodStalls": 32,
  "marketStalls": 0,
  "isClosedToday": false,
  "currentClosureEnd": null,
  "nextClosureStart": "2026-09-07",
  "nextClosureEnd": "2026-09-07",
  "nextClosureReason": null,
  "closures": [
    { "type": "Q3", "start": "2026-09-07", "end": "2026-09-07", "remarks": null }
  ],
  "sourceUrl": "https://data.gov.sg/datasets/d_4a086da0a5553be1d89383cd90d07ecd/view",
  "collectedAt": "2026-07-30T06:55:00.000Z"
}

Output schema

Field	Type	Description
`id`	string	Stable unique identifier for the hawker centre.
`name`	string	Name of the hawker centre.
`address`	string	Street address.
`postalCode`	string	Singapore postal code.
`latitude`	number	Latitude of the centre.
`longitude`	number	Longitude of the centre.
`status`	string	Operational status (e.g. `Existing`, `Under Construction`).
`cookedFoodStalls`	integer	Number of cooked-food stalls.
`marketStalls`	integer	Number of market stalls.
`photoUrl`	string (URL)	Link to a photo of the centre.
`sourceUrl`	string (URL)	Link to the source open dataset.
`isClosedToday`	boolean	Whether the centre is closed today for cleaning.
`currentClosureEnd`	string	End date of the current closure, if any.
`nextClosureStart`	string	Start date of the next scheduled closure.
`nextClosureEnd`	string	End date of the next scheduled closure.
`nextClosureReason`	string	Reason for the next closure, when given.
`closures`	array	Full list of scheduled quarterly cleaning closures.
`collectedAt`	string (ISO date)	When this Actor collected the record.

Input fields

Field	Description
`nameQuery`	Keyword in name/address.
`openOnly`	Only centres open today.
`closedTodayOnly`	Only centres closed today.
`maxItems`	Max centres (0 = all).

FAQ

Where does the data come from? Singapore's official NEA hawker-centre and cleaning-closure datasets on data.gov.sg, reused under the Singapore Open Data Licence.

How are the closure fields computed? The Actor joins the closure dataset by centre name and compares each quarterly cleaning period to today's date to derive isClosedToday and the next closure window.

How does billing work? A tiny per-run dataset charge plus pay per centre returned.

Can I integrate this with other tools? The Singapore Hawker Centres 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

Original clean-room implementation using Singapore's official NEA open data (data.gov.sg), reused under the Singapore Open Data Licence. Not affiliated with or endorsed by NEA or the Singapore Government.

Input

Field	Type	Description
`nameQuery` Name / address keyword	string	Filter centres by keyword in name or address. Empty = all.
`openOnly` Only open today	boolean	Return only centres NOT closed for cleaning/works today. Default: `false`
`closedTodayOnly` Only closed today	boolean	Return only centres closed today. Default: `false`
`maxItems` Max centres	integer	Maximum centres to return. 0 = all (~130). Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~sg-hawker-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/sg-hawker-scraper").call(run_input={})

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/sg-hawker-scraper').call({});

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

Pricing

Event	Price	Paid plans from
Centre returned One hawker centre returned with calendar.	$0.003	$0.0015
Dataset fetch One fetch+join of the official NEA datasets.	$0.008	$0.008

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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