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| category | business_name | uuid | title | address | suburb | postcode | latitude | longitude | location_status | country | state | location_updated_date | location_validated_date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| xxxx | xxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxx | xxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxx | xxxx | xxxxxxxxxxxx | xxxxxxxxxxx | xxxx | xxxxxxxxx | xxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxx | xxxx | xxxxxxxxxx | xxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxx | xxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxx | xxxx | xxxxxxxx | xxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxx | xxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| xxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxx | xxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxxx | xxxxxxxxxxx |
| Attribute | Type | Example |
|---|---|---|
| category | String | Cafe |
| business_name | String | Acepresso |
| uuid | String | d3511ce6-a996-11ec-8b4a-0627e559a1f8 |
| title | String | Tangerang |
| address | String | Paramount Serpong, Karawaci, Ciledug, Citra Raya |
| suburb | String | Tangerang |
| postcode | String | NULL |
| latitude | Float | -6.1859836 |
| longitude | Float | 106.6158601 |
| location_status | String | Open |
| country | String | Indonesia |
| state | String | Banten |
| location_updated_date | String | 22-Mar-2022 |
| location_validated_date | String | 11-Mar-2024 |
Description
GapMaps Point of Interest (POI) Data for Indonesia includes the most up-to-date view of business location data for over 200 leading retail brands across 16 categories including fast food, cafe, fitness, supermarket/grocery. Detailed Point of Interest (POI) attributes provided for each location include: - Category - Business Name - Postal code - Latitude and longitude - Street address, city, and state - Location Status (open or closed) - Location Updated Date - Location Validated Date Leading brands across Fast Food, Cafe, Fitness, Supermarket/Grocery sectors are updated monthly. Dataset can be supplied as CSV file or API
Country Coverage
(1 country)
Asia
(1)
IndonesiaData Categories
- Location Data
- Store Location Data
- Point of Interest (POI) Data
- Restaurant Location Data
- Business Location Data
Pricing
Starts at
$2.5K| One-off purchase |
Not available |
| Monthly License |
Not available |
| Yearly License | $2.5K |
| Usage-based |
Available |
Volumes
- Brands
- 208
- Categories
- 16
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