Global Independent & Multi-National Retail Location Data product image in hero

Global Independent & Multi-National Retail Location Data

dataplor
5.0(3)Badge iconVerified Data Provider
#
parent_location
parent_chain_path
chain_uuid_path
store_number
h3_index
dataplor_status
data_quality_confidence_score
open_closed_status
open_closed_status_confidence_score
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Sign In To Preview Data
Volume
64.4M
Retail Locations
Avail. Formats
.json and .csv
File
Coverage
249
Countries
History
20
years

Data Dictionary

[Sample] dataplor_Global_Retail_Sample.csv
Attribute Type Example Mapping
String c08e8752-69dd-4504-bd4c-bbce480a67a0 POI ID
parent_location
String
String Dimet POI Name
String retail POI Category
String POI Sub-category
String POI Sub-category
String electrical_wholesaler Product Category
Float 423610 Company NAICS Code
Float 5063 Company SIC Code
String 12456789 Brand ID
String Coca Cola Brand Name
parent_chain_path
String
chain_uuid_path
String
store_number
String
String AAPL Stock Ticker
String ############ POI Telephone
String ****** ****** # Address
String # ******** ****, *********, ** #####, *** Address
h3_index
String 8f49ab5504a600b
String Centro Neighborhood Name
String Tala City Name
String Jalisco State Name
String 45300 Postal Code
String mx Country Code Alpha-2
String Mexico Country Name
Float 20.65000967 Latitude
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
String 2019-11-04T00:00:00+00:00 POI Opening Hours
String POI Opening Hours
String http://dimetdigital.com/ Website
String 9:00 POI Opening Hours
String 20:00 POI Opening Hours
String 9:00 POI Opening Hours
String 20:00 POI Opening Hours
String 9:00 POI Opening Hours
String 20:00 POI Opening Hours
String 9:00 POI Opening Hours
String 20:00 POI Opening Hours
String 9:00 POI Opening Hours
String 20:00 POI Opening Hours
String 9:00 POI Opening Hours
String 19:00 POI Opening Hours
String 9:00 POI Opening Hours
String 14:00 POI Opening Hours
Product Attributes
Attribute Type Example Mapping
String 4bc53f9d-c148-43d8-93a5-2e04f12cc53f POI ID
String 4bc53f9d-c148-43d8-93a5-2e04f12cc53f Placekey
String Culver's Burgers POI Name
String dining POI Category
String diner POI Sub-category
String diner POI Sub-category
String fast_food_restaurant Product Category
Float 722515 Company NAICS Code
Float 5812 Company SIC Code
String culvers Brand ID
String Culver's Brand Name
String #213 Location ID
String SBUX:NASDAQ Stock Ticker
String +########### POI Telephone
String #### *** **** ** Address
String ***** ### Address
String Downers Grove Neighborhood Name
String Topeka City Name
String Kansas State Name
String 66604 Postal Code
String US Country Code Alpha-2
String United States of America (the) Country Name
Float 39.0485 Latitude
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
String 2007-11-19 POI Opening Hours
closed_on
String 2020-09-04

Description

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.

Country Coverage

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.)

History

20 years of historical data

Volume

64.4 million Retail Locations

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
weekly
monthly
real-time
on-demand
Format
.json
.csv

Use Cases

Audience Extension Company Analysis
Finance
Consumer Data Enrichment
Third Party Logistics (3PL)

Categories

Related Searches

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Frequently asked questions

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 3 reviews 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 Global Store Location Data Business 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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Globally scaled, dynamically updated and human-reviewed accurate location data.

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