Global Travel, Entertainment, & Transportation 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

33M

Locations

Avail. Formats

.json and .csv

File

Coverage

249

Countries

History

years

[Sample] dataplor_Global_Travel_Entertainment_Recreation_POI_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	00655660-bd0d-44c8-9dd7-241e57516498	POI ID
parent_location	String
name	String	Volonté Energy Chelsea	POI Name
main_category	String	entertainment_and_recreation	POI Category
sub_category	String	sports_and_recreation	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	fitness_center	Product Category
naics_code	Float	713940	Company NAICS Code
sic_code	Float	7999	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	8f194ad16588163
neighborhood	String	Hans Town, Chelsea	Neighborhood Name
city	String	London	City Name
state	String	Royal Borough of Kensington and Chelsea	State Name
postal_code	String	SW3 2DY	Postal Code
country_code	String	gb	Country Code Alpha-2
country	String	United Kingdom of Great Britain and Northern Ireland (the)	Country Name
latitude	Float	51.49412772	Latitude
longitude	Float	-0.16866178	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.7404248713
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.31
opened_on	String	2022-07-12T00:00:00+00:00
closed_on	String
website	String	https://www.volonte-energy.com/	Website
monday_open	String	7:00	POI Opening Hours
monday_close	String	20:00	POI Opening Hours
tuesday_open	String	7:00	POI Opening Hours
tuesday_close	String	20:00	POI Opening Hours
wednesday_open	String	7:00	POI Opening Hours
wednesday_close	String	20:00	POI Opening Hours
thursday_open	String	7:00	POI Opening Hours
thursday_close	String	20:00	POI Opening Hours
friday_open	String	7:00	POI Opening Hours
friday_close	String	20:00	POI Opening Hours
saturday_open	String	9:00	POI Opening Hours
saturday_close	String	18:00	POI Opening Hours
sunday_open	String	9:00	POI Opening Hours
sunday_close	String	18:00	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 Travel, Entertainment, & Transportation Dataset encompasses over 33.5 million locations in more than 250 countries and territories, making it one of the most extensive datasets worldwide. This global dataset is particularly valued for its ability to provide updates in real-time.

In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive. What's Inside the Dataset: -Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape. -Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more. -Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel). -Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making. How Our Data Drives Success: -Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions. -Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests. -Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues. -Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers. Empower Your Strategy: dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.

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

33 million

Locations

Free sample available

10% discount if you buy via Datarade

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One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08

Request detailed pricing

Methods

Frequency

Format

Audience Extension Company Analysis

Finance

Consumer Data Enrichment

Third Party Logistics (3PL)

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249 countries covered

20 years of historical data

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80% match rate

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11M POI (Points of Interest)

240 countries covered

1 years of historical data

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320M Records Worldwide

95% Completeness

249 countries covered

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What is Global Travel, Entertainment, & Transportation Location Data?

dataplor’s Global Travel, Entertainment, & Transportation Dataset encompasses over 33.5 million locations in more than 250 countries and territories, making it one of the most extensive datasets worldwide. This global dataset is particularly valued for its ability to provide updates in real-time.

What is Global Travel, Entertainment, & Transportation 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 Location Data from dataplor to fuel their analytics and enrichment.

Who can use Global Travel, Entertainment, & Transportation Location Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for 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 Travel, Entertainment, & Transportation 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 Travel, Entertainment, & Transportation 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 Travel, Entertainment, & Transportation Location Data cost?

Pricing for Global Travel, Entertainment, & Transportation Location Data starts at USD0.09. 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 Travel, Entertainment, & Transportation Location Data?

Businesses can buy 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 Travel, Entertainment, & Transportation Location Data?

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 Travel, Entertainment, & Transportation Location Data?

This product has 3 related products. These alternatives include Global Home & Professional Service Data, The Data Appeal GIS Data Places Data Store Location Data Business Location Data 200 Million + POI Data Mapped API, Dataset, and SafeGraph: Location Data - Global Coverage 52M+ POIs. You can compare the best 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

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

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100% Response rate

Global Travel, Entertainment, & Transportation 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 Travel, Entertainment, & Transportation 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.