GapMaps Premium Location Data | Asia/MENA | Leading Retail Brands| Monthly Tracking
# | suburb |
location_status |
location_updated_date |
location_validated_date |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
2 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
3 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
5 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
7 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
9 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
10 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
... | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Cafe | Company Industry | |
String | Acepresso | Brand Name | |
String | d3511ce6-a996-11ec-8b4a-0627e559a1f8 | Brand ID | |
String | Tangerang | Location Name | |
String | Address | ||
suburb
|
String | Tangerang | |
String | NULL | Postal Code | |
Float | -6.1859836 | Latitude | |
Float | 106.6158601 | Longitude | |
location_status
|
String | Open | |
String | Indonesia | Country Name | |
String | Banten | State Name | |
location_updated_date
|
String | 22-Mar-2022 | |
location_validated_date
|
String | 11-Mar-2024 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Fast Food & QSR | Company Industry | |
String | McDonalds | Company Name | |
String | f9523b39-21e5-11ed-92ec-0627e559a1f8 | UID | |
String | McDonalds Kakialy Ambon | Location Name | |
String | Address | ||
String | 97124 | Postal Code | |
String | -3.694242 | Latitude | |
String | -119.2065156609571 | Longitude | |
Status
|
String | Open/Closed | |
String | Indonesia | Country Name | |
State
|
String | Maluku | |
Location Updated Date
|
Date | 01-Mar-2024 | |
Location Validated Date
|
Date | 01-Mar-2024 |
Description
Country Coverage
Volume
850 | Brands |
716,000 | Locations |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$2,500 / year |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking?
GapMaps curates up-to-date and high-quality Location Data tracking store openings and closures for leading retail brands across Asia & MENA. Get the insights you need to make more accurate and informed business decisions.
What is GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking used for?
This product has 5 key use cases. GapMaps recommends using the data for Location Intelligence, Location-based Analytics, Retail Site Selection, Location Planning, and Location Insights. Global businesses and organizations buy Location Data from GapMaps to fuel their analytics and enrichment.
Who can use GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with GapMaps to see what their data can do for your business and find out which integrations they provide.
Which countries does GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking cover?
This product includes data covering 6 countries like India, Indonesia, Saudi Arabia, Singapore, and Malaysia. GapMaps is headquartered in Australia.
How much does GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking cost?
Pricing for GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking starts at USD2,500 per year. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.
How can I get GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking?
Businesses can buy Location Data from GapMaps and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .csv format.
What is the data quality of GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking?
GapMaps has reported that this product has the following quality and accuracy assurances: 90% Accuracy. You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.
What are similar products to GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking?
This product has 3 related products. These alternatives include GapMaps Premium Business Location Data Asia / MENA Leading Retail Brands Monthly Tracking, CPG Data Retail Store Location Data 52M+ POI SafeGraph Places, and Global Location Data 312+ Million Locations. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.