India Point of Interest (POI) Data | 57M+ Businesses | CPG | Site Selection | Retail | Investment

#	dataplor_id	parent_location	name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	chain_id	chain_name	parent_chain_path	chain_uuid_path	store_number	stock_ticker	phone	address	address2	h3_index	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on	website	monday_open	monday_close	tuesday_open	tuesday_close	wednesday_open	wednesday_close	thursday_open	thursday_close	friday_open	friday_close	saturday_open	saturday_close	sunday_open	sunday_close
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
2	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx
3	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx
4	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx
5	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx
6	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx
7	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx
8	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxx	Xxxxx	Xxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	xxxxxxxxx	xxxxxx	xxxxxx
9	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxxx	xxxxx	xxxxx	Xxxxxxxxx	xxxxx	Xxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxxxxx
10	xxxxxx	xxxxxxxxxx	xxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxx	xxxxx	xxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxx	Xxxxxx	xxxxxx	xxxxx	Xxxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxx	xxxxxx	xxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxx
...	Xxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxx	xxxxxx	Xxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxx	xxxxxx	Xxxxxxxx	Xxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxxxxxx	Xxxxxx

Volume

57M

Business Records

Avail. Formats

.json and .csv

File

Coverage

Country

History

years

[Sample] dataplor_India_POI_Categories_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	00544e37-32ae-41eb-97ea-750249e508a0	POI ID
parent_location	String
name	String	Varanasi Tours and Travels	POI Name
main_category	String	travel	POI Category
sub_category	String	vacation_services	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	travel_agency	Product Category
naics_code	Float	561510	Company NAICS Code
sic_code	Float	4724	Company SIC Code
chain_id	String	12456789	Brand ID
chain_name	String	Coca Cola	Brand Name
parent_chain_path	String
chain_uuid_path	String
store_number	String
stock_ticker	String	AAPL	Stock Ticker
phone	String	############	POI Telephone
address	String	-##/##, ******, ***	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8f3c164546ee4cd
neighborhood	String	Cantonment	Neighborhood Name
city	String	Varanasi	City Name
state	String	Uttar Pradesh	State Name
postal_code	String	221002	Postal Code
country_code	String	in	Country Code Alpha-2
country	String	India	Country Name
latitude	Float	25.33342335	Latitude
longitude	Float	82.99375414	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.8701522752
open_closed_status	String	open
open_closed_status_confidence_score	String	0.236
opened_on	String	2018-05-04T00:00:00+00:00
closed_on	String
website	String	http://varanasi-tours-and-travels.business.site/	Website
monday_open	String	0:00	POI Opening Hours
monday_close	String	0:00	POI Opening Hours
tuesday_open	String	0:00	POI Opening Hours
tuesday_close	String	0:00	POI Opening Hours
wednesday_open	String	0:00	POI Opening Hours
wednesday_close	String	0:00	POI Opening Hours
thursday_open	String	0:00	POI Opening Hours
thursday_close	String	0:00	POI Opening Hours
friday_open	String	0:00	POI Opening Hours
friday_close	String	0:00	POI Opening Hours
saturday_open	String	0:00	POI Opening Hours
saturday_close	String	0:00	POI Opening Hours
sunday_open	String	0:00	POI Opening Hours
sunday_close	String	0:00	POI Opening Hours

Product Attributes

Attribute	Type	Example	Mapping
address	String	******** #	Address
address2	String	# ****** , *****, #####, ***	Address
business_category	String	car_dealer	Product Category
chain_id	String	ford	Company ID
chain_name	String	Ford	Company Name
city	String	Zell im Wiesental	City Name
closed_on	String
country	String	Germany	Country Name
county_code	String	de	Country Code Alpha-2
dataplor_id	String	e0e6be09-0f30-4f28-a92d-4822c1920f8c	POI ID
dataplor_status	String	active
data_quality_confidence_score	String	0.982
latitude	Float	47.71441	Latitude
longitude	Float	7.87391	Longitude
main_category	String	automotive_services	POI Category
naics_code	Float	441110	Company NAICS Code
name	String	Autohaus Maszurimm	POI Name
neighborhood	String	Nob Hill	Neighborhood Name
opened_on	String	2016-09-05
open_closed_status	String	open
open_closed_status_confidence_score	String	0.95
parent_location	String	c4811653-bf26-4fd2-85cf-0c89e28740a8	Placekey
phone	String	############	POI Telephone
postal_code	String	79669	Postal Code
sic_code	Float	5511	Company SIC Code
state	String	Baden-Württemberg	State Name
stock_ticker	String	NYSE:F	Stock Ticker
store_number	String		Location ID
sub_category	String	automobile	POI Sub-category
sub_sub_category	String	services	POI Sub-category

dataplor's India POI dataset covers 57M+ businesses & services across the country, making it the most comprehensive location and business intelligence dataset available for India. dataplor's datasets are particularly valued for refreshing on a weekly basis.

"Our strength lies in our ability to offer highly detailed, actionable insights specifically tailored for businesses operating in or expanding into emerging markets." dataplor's India dataset provides detailed information on a wide range of POIs, making it a valuable resource for businesses and organizations looking to understand and utilize spatial data in the region. It includes extensive data, but is not limited to the following use cases: - Third-party logistics (3PL): Optimize delivery routes across India's diverse terrain, identify strategic warehouse locations in key cities, and streamline last-mile delivery in densely populated urban areas. - Economic Development Planning: Identify high-growth potential areas, target investment in emerging markets, and allocate resources effectively based on regional data. - Retail and Chain Location Site Selection: Analyze demographics and competition to pinpoint ideal locations for new stores in bustling metropolises and underserved rural areas. - Resource Allocation: Direct resources to where they will have the most impact, ensuring equitable distribution across India's vast and diverse landscape. - Investment Opportunities: Identify untapped markets and evaluate investment potential in various sectors and regions across India. - Tourist Attraction Mapping: Enhance tourism experiences by mapping attractions, identifying hidden gems, and understanding tourist movements in popular destinations. - Infrastructure Improvement: Optimize transportation networks, identify areas for infrastructure development, and plan for efficient resource allocation. - Market Access: Expand market reach by identifying untapped customer bases in emerging cities and rural areas. - Conservation Efforts: Monitor environmental impact, identify areas for conservation efforts, and protect India's rich biodiversity. - Smart City Initiatives: Develop data-driven smart city initiatives, optimize urban planning, and improve quality of life in urban areas. - Data-Driven Decisions: Empower decision-makers with accurate, reliable, and granular data for evidence-based policymaking and planning. - Monitoring and Evaluation: Track progress, measure outcomes, and evaluate the effectiveness of various initiatives and programs across India.

Asia (1)

India

20 years of historical data

57 million

Business Records

Free sample available

10% discount if you buy via Datarade

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

Request detailed pricing

Methods

Frequency

Format

Retail

Business Intelligence (BI)

Expansion Strategy Development

Local Economic Forecasting

Location Planning

Point of Interest (POI) Data Tourist Attraction Data Economic Data Business Location Data Retail Data

19M Business Records

Indonesia covered

20 years of historical data

dataplor's Indonesia POI dataset covers 19M+ businesses & services across the country, making it the most comprehensive location and business intelligence da...

240 Brands

90% Accuracy

India covered

GapMaps curates up-to-date and high-quality Point of Interest (POI) data tracking store openings and closures for leading retail brands in India across 15 ca...

31.9K POI records

95% Accuracy

USA covered

This product consists of point-of-interest data (POI) for the top Cannabis store locations in US. Both Brand and Non-Brand Cannabis Stores are aggregated int...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Access meticulously curated and up-to-date data precisely aligned with your business objectives. Explore the advantages of our Business Location Data, Locati...

What is India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment?

dataplor’s India POI dataset covers 57M+ businesses & services across the country, making it the most comprehensive location and business intelligence dataset available for India. dataplor’s datasets are particularly valued for refreshing on a weekly basis.

What is India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment used for?

This product has 5 key use cases. dataplor recommends using the data for Retail, Business Intelligence (BI), Expansion Strategy Development, Local Economic Forecasting, and Location Planning. Global businesses and organizations buy Point of Interest (POI) Data from dataplor to fuel their analytics and enrichment.

Who can use India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment go?

This Tabular Data has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.

Which countries does India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment cover?

This product includes data covering 1 country like India. dataplor is headquartered in United States of America.

How much does India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment cost?

Pricing for India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment starts at USD0.09 per record. dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment?

Businesses can buy Point of Interest (POI) Data from dataplor and get the data via S3 Bucket. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 1 review from clients.

What are similar products to India Point of Interest (POI) Data 57M+ Businesses CPG Site Selection Retail Investment?

This Tabular Data has 3 related products. These alternatives include Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment, GapMaps Premium Point of Interest (POI) Data India Point of Interest (POI) for Leading Retail Brands Monthly Tracking, and Xtract.io - Point-of-Interest (POI) Data Locations data Top Cannabis Store locations in US. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$0.09$0.08 / record

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

Verified Provider

2h Avg. response time

100% Response rate

India Point of Interest (POI) Data | 57M+ Businesses | CPG | Site Selection | Retail | Investment

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

India Point of Interest (POI) Data | 57M+ Businesses | CPG | Site Selection | Retail | Investment

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.