GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 4 leading fashion retail brands in Indonesia. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
GapMaps Point of Interest Data for Indonesia - Fashion Retail
Short Description:
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 4 leading fashion retail brands in Indonesia. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
Long Description:
GapMaps Point of Interest Data for Indonesia includes the most up-to-date view of business location data for over 4 fashion retail brands. Some of the detailed attributes provided for each brand location includes:
Category
Business Name
Postal code
Latitude and longitude
Street address, city, and state
Location Status (open or closed)
Example Fields
Column Name | Description | Type | Example
----|-----|-----
Category | Sector | String | Fast Food & QSR
Business Name | Name of Business | String | McDonald's
UUID | Unique Identifier | String | f9523b39-21e5-11ed-92ec-0627e559a1f8
Title | Title of the location | String | McDonald's Kakialy Ambon
Address | Address number and road or street name, suburb and postcode | String | Jl. Kakialy, Uritetu, Kec. Sirimau, Kota Ambon, Maluku, Indonesia
Suburb | Suburb of the location | String | Ambon
Postcode | Postal code or zipcode of the location | String | 97124
Latitude | Latitude coordinate of the place of interest | Long | -3.694242
Longitude | Latitude coordinate of the place of interest | Long | 128.185587
Status | Identifies if a location is open or closed | String | Open/Close
Country | Name of Country | String | Indonesia
State | Name of State | String | Maluku
Location Updated Date | Date when the location details were updated | Date | 01-Mar-2024
Location Validated Date | Date when the location was last validated | Date | 01-Mar-2024
Additional Information
GapMaps regularly updates the dataset with the latest store openings and closings.
Dataset covers all of Indonesia.
Dataset is supplied as CSV files.
Before a data subscription can be purchased GapMaps require you to complete a subscription request form to verify your identity and the intended use cases for the data. Please provide these details once you hit the subscribe button. GapMaps have 45 days to approve or decline this request.
GapMaps is a leading global provider of high-quality, up-to-date, and granular location intelligence datasets and insights to developers, technology companies, and businesses across a range of industry sectors. Brands such as Burger King, KFC, Anytime Fitness, and Starbucks rely on our data and insights to inform their market planning strategies with increased confidence and reduced risk. We provide globally consistent datasets including the latest resident and worker populations, census demographics data, consuming class data, and point of interest data down to a granular level to inform location decisions. For more information visit <www.gapmaps.com>.
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This listing uses a single contract-based pricing dimension called Product Access (Units). You buy access to the Indonesia fashion retail Point of Interest dataset under one commitment term. Pricing does not split into tiers or instance sizes. Instead, you subscribe to the product as a whole through this one dimension. The dataset delivers business location records for fashion retail across Indonesia, including coordinates, categories, and brand attributes. Since there is only one option, your cost depends on the contract term you select rather than on usage volume or feature tiers.
Top-of-mind questions for buyers
What does one unit of Product Access include for this dataset?
One unit grants access to the Indonesia fashion retail Point of Interest dataset. Each record includes latitude and longitude coordinates, business attributes, category classification, and brand information. Access covers the dataset as a whole, not a set number of individual records or downloads.
Does my cost change based on how many records or queries I use?
No. This listing uses one contract-based dimension. You pay for product access under your chosen term, not per record retrieved or per query run. Your cost depends on the contract you select, so usage volume does not change what you owe.
Is the fashion retail data kept current after I subscribe?
The dataset is built through multi-source aggregation, AI-driven deduplication, and continuous validation. GapMaps applies ongoing updates to reflect real-world changes. Access under your contract term covers the maintained dataset rather than a one-time static file.
www.gapmaps.com
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Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact aws_support@gapmaps.com.
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