POIs / amenities in the suburb (pubs, cafes, gyms, schools, …)
Every named venue / amenity in the suburb as GeoJSON Point features, plus a per-category count.
Each point carries name, a broad category (Restaurant / Cafe, Shopping, Health, Entertainment, Sport & Fitness, Education, …) and a finer subtype (e.g. pub, bar, cafe, restaurant, gym, supermarket, school, pharmacy). This is the endpoint for "what / how many <venue type> are in this suburb" and "name the pubs / cafes / gyms in X" — filter or count the features on subtype, and read real venue names from name. The top-level categories array gives the broad-category counts without walking the list.
Unpaged by default. Big suburbs are big — Sydney is ~3.7 MB of features — so pass limit/offset (or narrow with category) when you don't need them all. count and categories always describe the whole suburb, so paging never hides the totals. Flat price per call regardless of page size.
Exact suburb identifier required. Exact ABS Suburb and Locality (SAL) name, e.g. Burwood (NSW) — many suburbs carry a state suffix. If starting from free text or an unverified bare name, first call GET /v1/geocode/suburb?q=<text>, then use the exact data[].area_name it returns. Suburb data endpoints do not guess a state or typo-correct names.
Price: 25¢ per call.
Request
- Base URL: https://api.microburbs.com.au
- URL: https://api.microburbs.com.au/v1/suburbs/{suburb_name}/lifestyle/pois
- Auth: HTTP bearer
Path parameters
Exact ABS Suburb and Locality (SAL) name, e.g. Burwood (NSW) — many suburbs carry a state suffix. If starting from free text or an unverified bare name, first call GET /v1/geocode/suburb?q=<text>, then use the exact data[].area_name it returns. Suburb data endpoints do not guess a state or typo-correct names.
Query parameters
Features to return (default: all).
Feature offset — page with limit.
Only this display category (e.g. Shopping). Case-insensitive.
Response
Successful Response
Example response
{
"data": {
"area_level": "suburb",
"area_name": "Belmont North",
"categories": [
{
"category": "Shopping",
"count": 32
},
{
"category": "Sport & Fitness",
"count": 26
}
],
"count": 177,
"pois": {
"features": [
{
"geometry": {
"coordinates": [
151.66231,
-33.02463
],
"type": "Point"
},
"properties": {
"name": "Ampol Foodary",
"category": "Shopping",
"subtype": "newsagent",
"dim": "convenience"
},
"type": "Feature"
}
],
"type": "FeatureCollection"
}
}
}Changes
No recorded changes to this operation across all 1 revision of this API.