Global Convenience & Grocery Store Data | Points of Interest (POI)

#	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
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Volume

12M

Convenience & Grocery Stores

Avail. Formats

.json and .csv

File

Coverage

249

Countries

History

years

[Sample] dataplor_Convenience_and_Grocery_Data_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	002bb9d9-4355-4c5b-bffc-76433f6d3af5	POI ID
parent_location	String	77956e22-ccca-4f96-a075-dbf1ce8778fb
name	String	7-ELEVEN 璟觀門市	POI Name
main_category	String	convenience_and_grocery_stores	POI Category
sub_category	String	consumer_goods	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	convenience_store	Product Category
naics_code	Float	457110	Company NAICS Code
sic_code	Float	0279	Company SIC Code
chain_id	String	7_eleven	Brand ID
chain_name	String	7-Eleven	Brand Name
parent_chain_path	String	seven_and_i_holdings
chain_uuid_path	String	27b4dd68-6031-4174-9571-3750899ae319
store_number	String
stock_ticker	String	AAPL	Stock Ticker
phone	String	###########	Phone Number
address	String	************* **, ###號#樓	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8f4ba0115820194
neighborhood	String	東香里	Neighborhood Name
city	String	香山區	City Name
state	String	新竹市	State Name
postal_code	String	300	Postal Code
country_code	String	tw	Country Code Alpha-2
country	String	Taiwan (Province of China)	Country Name
latitude	Float	24.76027116	Latitude
longitude	Float	120.9581912	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.9419625943
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.3
opened_on	String	2015-12-19T00:00:00+00:00	POI Opening Hours
closed_on	String		POI Opening Hours
website	String	https://www.7-11.com.tw/	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
dataplor_id	String	4bc53f9d-c148-43d8-93a5-2e04f12cc53f	POI ID
parent_location	String	4bc53f9d-c148-43d8-93a5-2e04f12cc53f	Placekey
name	String	Culver's Burgers	POI Name
main_category	String	dining	POI Category
sub_category	String	diner	POI Sub-category
sub_sub_category	String	diner	POI Sub-category
business_category	String	fast_food_restaurant	Product Category
naics_code	Float	722515	Company NAICS Code
sic_code	Float	5812	Company SIC Code
chain_id	String	culvers	Brand ID
chain_name	String	Culver's	Brand Name
store_number	String	#213	Location ID
stock_ticker	String	SBUX:NASDAQ	Stock Ticker
phone	String	+###########	POI Telephone
address	String	#### *	Address
address2	String	***** ###	Address
neighborhood	String	Downers Grove	Neighborhood Name
city	String	Topeka	City Name
state	String	Kansas	State Name
postal_code	String	66604	Postal Code
country_code	String	US	Country Code Alpha-2
country	String	United States of America (the)	Country Name
latitude	Float	39.0485	Latitude
longitude	Float	-95.7622	Longitude
dataplor_status	String	active/inactive
data_quality_confidence_score	String	0.88
open_closed_status	String	Open/Temporarily Closed/Permanently Closed/Open
open_closed_status_confidence_score	Float	0.95
opened_on	String	2007-11-19	POI Opening Hours
closed_on	String	2020-09-04

dataplor's Global Convenience and Grocery Store Dataset covers 12+ million locations across 250 countries and territories, making it one of the most comprehensive global datasets available. This global dataset is particularly valued for its ability to provide updates in real-time.

In the dynamic world of retail, staying ahead requires accurate, up-to-date information. Our Global Leading Convenience and Grocery Stores Dataset delivers precisely that, offering a comprehensive view of top convenience and grocery store locations worldwide. Data Points for In-Depth Analysis: -Store Identification & Naming: Official convenience and grocery store names, reflecting regional variations, and unique IDs for easy tracking. -Business Type & Focus: Clear categorization into primary and secondary business types (e.g., Convenience Store, Supermarket, Bodega). -Precise Location Information: Street names, city, state/province, postal code, country, and neighborhood data. -Geo-Coordinates for Mapping: Precise latitude and longitude for mapping and location-based analysis. -Operational Status & Data Reliability: Indicates whether stores are open or closed, along with a confidence score for data accuracy. -Establishment Date: Historical context for trend analysis. Applications Across the Retail Landscape: -Comprehensive Market Evaluation: Assess store distribution and density globally. -Strategic Store Placement: Identify potential new store sites based on demographics and competition. -Customer-Centric Marketing: Reach customers near specific stores for increased engagement and sales. -Understanding the Competitive Environment: Gain insights into competitor locations for effective strategy development. -Optimized Supply Chain Logistics: Streamline supply chains based on store distribution. The Global Leading Convenience and Grocery Stores Dataset is your key to informed decision-making in the retail sector. Harness its power to gain a competitive advantage and drive success in this ever-evolving market!

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (51)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

20 years of historical data

12 million

Convenience & Grocery Stores

Free sample available

10% discount if you buy via Datarade

dataplor has not published pricing information for this product yet. You can request detailed pricing information below.

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Methods

Frequency

Format

Audience Extension Company Analysis

Finance

Consumer Data Enrichment

Third Party Logistics (3PL)

Point of Interest (POI) Data Transport and Logistics Data CPG Data Retail Store Data Food & Grocery Data

300M Business Records

249 countries covered

20 years of historical data

dataplor's global dataset covers 300+ million locations across 250 countries and territories, making it one of the most comprehensive global datasets availab...

140 Different attributes/columns

100% Match Rate

249 countries covered

The Point of Interest (POI Data) includes details of businesses, landmarks (e.g., restaurants, hospitals, EV charging stations, grocery stores, supermarkets,...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Our unparalleled combination of points-of-interest (POI) data enriched with Sentiment and Footfall KPIs will empower you to take action with confidence and a...

420M MAU

95% Match rate

248 countries covered

We provide POI Data, which can be used to train AI & ML Models on14M physical locations globally, and unlock wide range of use cases, from marketing to publi...

What is Global Convenience & Grocery Store Data Points of Interest (POI)?

dataplor’s Global Convenience and Grocery Store Dataset covers 12+ million locations across 250 countries and territories, making it one of the most comprehensive global datasets available. This global dataset is particularly valued for its ability to provide updates in real-time.

What is Global Convenience & Grocery Store Data Points of Interest (POI) used for?

This product has 5 key use cases. dataplor recommends using the data for Audience Extension, Company Analysis, Finance, Consumer Data Enrichment, and Third Party Logistics (3PL). Global businesses and organizations buy Point of Interest (POI) Data from dataplor to fuel their analytics and enrichment.

Who can use Global Convenience & Grocery Store Data Points of Interest (POI)?

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 Global Convenience & Grocery Store Data Points of Interest (POI) go?

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

Which countries does Global Convenience & Grocery Store Data Points of Interest (POI) cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. dataplor is headquartered in United States of America.

How much does Global Convenience & Grocery Store Data Points of Interest (POI) cost?

Pricing information for Global Convenience & Grocery Store Data Points of Interest (POI) is available by getting in contact with dataplor. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Global Convenience & Grocery Store Data Points of Interest (POI)?

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

What is the data quality of Global Convenience & Grocery Store Data Points of Interest (POI)?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 2 reviews from clients.

What are similar products to Global Convenience & Grocery Store Data Points of Interest (POI)?

This product has 3 related products. These alternatives include Global Points of Interest (POI) Data, Grepsr Point of Interest (POI Data), Geospatial, Review, Rating, Business Opening Hours Global Coverage with Custom and On demand datasets, and Global Point-of-Interest Data POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location 251 Millions+ POI Data Mapped. 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.

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Global Convenience & Grocery Store Data | Points of Interest (POI)

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

Global Convenience & Grocery Store Data | Points of Interest (POI)

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.