Sold by: GapMaps
Deployed on AWS
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 50 leading fast food brands in India. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
Overview
Overview:
GapMaps Point of Interest Data for India - Fast Food
Short Description:
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 41 leading fast food brands in India. 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 India includes the most up-to-date view of business location data for over 50 leading fast food 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 ----|-----|----- Business Name | Name of Business | String | Carl's Jr. UUID | Unique Identifier | String | f47ca864-4e1d-11ee-9e97-02dcee84255c Title | Title of the location | String | Carls Jr. Bengaluru Address | Address number and road or street name, suburb and postcode | String | 35, 80 Feet Rd, 4th Block,Nirguna Mandir Layout,Cauvery Colony, Koramangala,Bengaluru, Karnataka 560035 Suburb | Suburb of the location | String | Cranbourne East Postcode | Postal code or zipcode of the location | String | 560034 Latitude | Latitude coordinate of the place of interest | Long | 12.9309874 Longitude | Latitude coordinate of the place of interest | Long | 77.6330483 Status | Identifies if a location is open or closed | String | Open Country | Name of Country | String | India State | Name of State | String | Karnataka 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 India.
- 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.
Need help?
If you have questions about our products, email us at aws_support@gapmaps.com
About GapMaps
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 >.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/3 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $5,000.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension called Product Access (Units). You buy access to the dataset through a set commitment rather than paying per query or per record. There are no tiers or size options to compare. The unit grants you access to the India fast food point-of-interest dataset, which includes business location records with coordinates, categories, and brand attributes. Pricing scales through the number of access units you commit to under the contract term.
Top-of-mind questions for buyers
A unit grants access to the point-of-interest dataset covering India fast food locations. Each record includes precise latitude and longitude coordinates, business attributes, category classification, and brand information. The data is built from multiple sources, deduplicated, and validated for accuracy.
No. You commit to access under a contract term rather than paying per query or per record. The Product Access unit grants dataset access, and your cost scales with the number of units you commit to, not by how much data you retrieve.
The dataset is continuously updated through ongoing data ingestion and validation processes. Records reflect real-world changes over time. Your access under the contract term covers this maintained dataset rather than a single fixed snapshot.
www.gapmaps.com
Helpful?
Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact aws_support@gapmaps.com .
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
POI - India - Generators | Last 1 revisions | All future revisions | Not included | Not included | ||
POI - India - Fast Food | Last 1 revisions | All future revisions | Not included | Not included |
Similar products
This trial dataset contains GapMaps points of interest (POI) data for business listings including location name, lat/long, status (open/closed), category and brand. The sample includes a limited number of leading brands operating across Fast Food, Cafe, Supermarket/Grocery and Health / Fitness sectors.
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for leading retail brands in India across 15 categories. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
The India Urban Prime Markets II Data Package provides sociodemographic data on persons and households as well as information about income, SEC classification and Expenditure behavior. The data is based on official population registers, anonymized transaction-based information and qualitative market research from multiple sources. The data-set offers well established consumer segmentation data allowing you to understand consumer profiles and potentials for optimizing your offers to them.
The India Urban Prime Markets II Data Package provides sociodemographic data on persons and households as well as information about income, SEC classification and Expenditure behavior. The data is based on official population registers, anonymized transaction-based information and qualitative market research from multiple sources. The data-set offers well established consumer segmentation data allowing you to understand consumer profiles and potentials for optimizing your offers to them.