Global Independent & Multi-National Retail Location Data

#	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

64.4M

Retail Locations

Avail. Formats

.json and .csv

File

Coverage

249

Countries

History

years

[Sample] dataplor_Global_Retail_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	c08e8752-69dd-4504-bd4c-bbce480a67a0	POI ID
parent_location	String
name	String	Dimet	POI Name
main_category	String	retail	POI Category
sub_category	String		POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	electrical_wholesaler	Product Category
naics_code	Float	423610	Company NAICS Code
sic_code	Float	5063	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	8f49ab5504a600b
neighborhood	String	Centro	Neighborhood Name
city	String	Tala	City Name
state	String	Jalisco	State Name
postal_code	String	45300	Postal Code
country_code	String	mx	Country Code Alpha-2
country	String	Mexico	Country Name
latitude	Float	20.65000967	Latitude
longitude	Float	-103.7015888	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.7746843622
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.304
opened_on	String	2019-11-04T00:00:00+00:00	POI Opening Hours
closed_on	String		POI Opening Hours
website	String	http://dimetdigital.com/	Website
monday_open	String	9:00	POI Opening Hours
monday_close	String	20:00	POI Opening Hours
tuesday_open	String	9:00	POI Opening Hours
tuesday_close	String	20:00	POI Opening Hours
wednesday_open	String	9:00	POI Opening Hours
wednesday_close	String	20:00	POI Opening Hours
thursday_open	String	9:00	POI Opening Hours
thursday_close	String	20:00	POI Opening Hours
friday_open	String	9:00	POI Opening Hours
friday_close	String	20:00	POI Opening Hours
saturday_open	String	9:00	POI Opening Hours
saturday_close	String	19:00	POI Opening Hours
sunday_open	String	9:00	POI Opening Hours
sunday_close	String	14:00	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 Independent & Multi-National Retail Location Dataset covers 64.4M+ locations across 250 countries and territories, making it one of the most comprehensive retail datasets available. This global dataset is particularly valued for its ability to provide updates in real-time.

In the dynamic retail industry, access to accurate and comprehensive data is not just an advantage – it's a necessity. dataplor's Global Independent & Multi-National Retail Locations Dataset offers a panoramic view of the worldwide retail landscape, empowering businesses with the knowledge they need to thrive. Data Points for Precision: -Retailer Profiles: Detailed information on both independent shops and multinational stores, including official names, and unique identifiers. -Business Classification: Precise categorization by industry (e.g., apparel, electronics, grocery) and business model (e.g., independent boutique, single-location retailer), ensuring granular insights. -Location Precision: Exact street addresses, geographic coordinates (latitude and longitude), and operational status (open/closed) for precise mapping and analysis. -Store Attributes: Comprehensive details such as years in operation, and other relevant attributes to gauge market presence and potential. Empowering Use Cases: -Market Entry and Expansion: Identify untapped markets, assess the competitive landscape, and pinpoint optimal locations for new store openings or expansions. -Competitive Benchmarking: Gain deep insights into competitor strategies, store formats, and geographic trends to inform your own business decisions. -Targeted Marketing and Promotions: Develop hyper-targeted campaigns based on location demographics and competitor proximity. -Supply Chain Optimization: Streamline inventory management, distribution logistics, and last-mile delivery routes by understanding store locations and demand patterns. -Investment and Risk Analysis: Evaluate potential investment opportunities in the retail sector by assessing market saturation, growth potential, and risk factors associated with specific locations.

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

64.4 million

Retail Locations

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

Audience Extension Company Analysis

Finance

Consumer Data Enrichment

Third Party Logistics (3PL)

Store Location Data Point of Interest (POI) Data Business Location Data Retail Data Retail Store Data

300K Retail Locations

249 countries covered

20 years of historical data

dataplor's Global Leading Multinational Retail Location Dataset covers 300K+ locations across 250 countries and territories, making it one of the most compre...

50 + Millions Records

99% match rate

249 countries covered

This dataset serves as a valuable resource for businesses, researchers, and analysts seeking in-depth insights into the distribution, characteristics, and op...

95% Coverage

249 countries covered

Reomnify tracks, monthly, the locations and categories of all major retail brands in any market (eg 1000+ brands covered in Australia). Used by retailers, la...

11M POI (Points of Interest)

182 countries covered

2 years of historical data

Location data for CPG companies, such as store, brand, address, location, lat/log, open-hours, and NAICS category. This high-quality location data also inclu...

What is Global Independent & Multi-National Retail Location Data?

dataplor’s Global Independent & Multi-National Retail Location Dataset covers 64.4M+ locations across 250 countries and territories, making it one of the most comprehensive retail datasets available. This global dataset is particularly valued for its ability to provide updates in real-time.

What is Global Independent & Multi-National Retail Location Data 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 Store Location Data from dataplor to fuel their analytics and enrichment.

Who can use Global Independent & Multi-National Retail Location Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Store Location 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 Independent & Multi-National Retail Location Data 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 Independent & Multi-National Retail Location Data 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 Independent & Multi-National Retail Location Data cost?

Pricing for Global Independent & Multi-National Retail Location Data 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 Global Independent & Multi-National Retail Location Data?

Businesses can buy Store Location 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 Independent & Multi-National Retail Location Data?

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 Global Independent & Multi-National Retail Location Data?

This product has 3 related products. These alternatives include Global Leading Multinational Retailer Data, Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States, and Reomnify Global Store Location Data Places Data: Categorized Branded Retail Locations. You can compare the best Store Location 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

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6h Avg. response time

100% Response rate

Global Independent & Multi-National Retail Location Data

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 Independent & Multi-National Retail Location Data

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.