The Data Appeal | Travel Data | API, Dataset | 200 Million+ POI Data Mapped | Coverage from 2019

#	poi_id	type	value	date_last_checked
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx
2	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx
3	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
4	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx
5	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx
6	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
7	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx
8	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx
9	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx
10	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx
...	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx

#	poi_id	name	street_address	latitude	longitude	industry	category	date_refreshed	name_translated	country	state	county	city	stars	rooms	price_class	sentiment	popularity	hours_popular	main_clusters	most_discussed_topics	spoken_languages	traveler_origin	traveler_type	phone	website	brand_name	date_first_presence	date_closed
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
2	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx
3	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
4	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx
5	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	xxxxxxxxxx
6	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
7	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx
8	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
9	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx
10	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	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

#	poi_id	day_of_week	period_time	open_time	close_time	date_last_checked
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx
2	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
3	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx
4	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
5	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
6	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx
7	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx
8	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
9	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx
10	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
...	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx

#	poi_id	date	period	time_period	popularity
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx
2	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx
3	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx
4	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx
5	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx
6	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
7	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx
8	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx
9	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx
10	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx
...	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx

#	poi_id	date	popularity
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx
2	xxxxxxxxxx	Xxxxx	Xxxxxx
3	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx
4	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
5	xxxxxxxxx	Xxxxxxx	xxxxxx
6	Xxxxx	xxxxxxxxxx	xxxxxx
7	Xxxxxxxxxx	xxxxxx	Xxxxx
8	Xxxxxx	xxxxx	xxxxxxxx
9	xxxxxxx	Xxxxx	Xxxxxxxx
10	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
...	xxxxxx	Xxxxxxxxx	Xxxxxxxxx

#	poi_id	date	reviews	sentiment
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx
2	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx
3	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
4	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx
5	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx
6	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
7	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx
8	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx
9	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx
10	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx
...	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx

Volume

320

Billion Pieces of Online Content Analyzed Each Day

Data Quality

95%

match rate

Avail. Formats

.csv and .xls

File

Coverage

249

Countries

History

years

[Sample] Dubai_POI_Characterization.csv

Attribute	Type	Example
poi_id	String	5a29b6a0d9e788be013f4c6a41b46aa2d6718061
type	String	service_available
value	String	dine_in
date_last_checked	DateTime	2024-02-28T00:00:00+00:00

[Sample] Dubai_POI_Data.csv

Attribute	Type	Example
poi_id	String	ab09717d8ce4bc781b8d3548cfdfbb2cb5740213
name	String	Anthropologie
street_address	String	The street address of this POI could not be resolved
latitude	Float	25.1978928
longitude	Float	55.2778964
industry	String	Retail
category	String	Clothing
date_refreshed	DateTime	2024-02-29T00:00:00+00:00
name_translated
country	String	united arab emirates
state	String	dubai
county	String	sector 3
city	String	burj khalifa
stars
rooms
price_class
sentiment	Float	84.29
popularity	Float	31.54
hours_popular	String	{"monday":"late_morning","tuesday":"afternoon","wednesday...
main_clusters	String	[{"cluster": "Atmosphere","sentiment": 50.00}]
most_discussed_topics
spoken_languages	String	[{"language": "en","sentiment": 65.00,"percentage": 66.67...
traveler_origin
traveler_type
phone	String	+### # ### ####
website
brand_name
date_first_presence	DateTime	2023-01-14T00:00:00+00:00
date_closed

[Sample] Dubai_POI_Opening_Hours.csv

Attribute	Type	Example
poi_id	String	9a02f00e059f746661b6a5a5104f8664fd06c1c3
day_of_week	Integer	4
period_time	Integer	1
open_time	String	09:00
close_time	String	18:00
date_last_checked	DateTime	2024-02-28T00:00:00+00:00

[Sample] Dubai_POI_Popularity_Time_of_Day_Breakdown.csv

Attribute	Type	Example
poi_id	String	330b26d5845e3d1150805c34e3794cf0a3efd7fd
date	DateTime	2022-03-01T00:00:00+00:00
period	String	weekend
time_period	String	(05-10) Early Morning
popularity	Float	7.95

[Sample] Dubai_POI_Popularity_Trend.csv

Attribute	Type	Example
poi_id	String	07017352e4019c5f203f34e4ada40927333557e1
date	DateTime	2021-09-01T00:00:00+00:00
popularity	Float	88.83

[Sample] Dubai_POI_Sentiment_Trend.csv

Attribute	Type	Example
poi_id	String	28868c7ae52c0d5d25f0f1c61b6bc97a05c258c8
date	DateTime	2021-12-01T00:00:00+00:00
reviews	Integer	41
sentiment	Float	83.42

Product Attributes

Attribute	Type	Example	Mapping
poi_id	String	9fbf6902-3259-43e0-b84d-c802b1940899	POI ID
name	String		POI Name
street_address	String	# ****** , *****, #####, ***	Address
latitude	Decimal	40.786342970476895	Latitude
longitude	Decimal	-119.2065156609571	Longitude
industry	String	Advertising	Company Industry
category	String		POI Category
date_refreshed	Date
country	String	United States of America	Country Name
state	String	California	State Name
county	String	Bernalillo County	County Name
city	String	Berlin	City Name
stars	Integer
rooms	Integer
price_class	Integer
sentiment	Decimal
popularity	Decimal
hours_popular	String	{"monday":null,"tuesday":"afternoon","wednesday":"late_mo...
main_clusters	Decimal	[{"cluster": "Atmosphere","sentiment": 76.99},{"cluster":...
most_discussed_topics	Decimal	[{"topic": "service","sentiment": 78.57},{"topic": "staff...
spoken_languages	Decimal	[{"language": "it","sentiment": 85.93,"percentage": 94.39...
traveler_origin	Decimal	[{"country": "it","sentiment": 84.67,"percentage": 19.93}...
traveler_type	Decimal	[{"traveler_type": "couple","sentiment": 83.51,"ercentage...
phone	String	+# (###) ####-####	Company Phone Number
website	String	https://www.ibm.com	Company Website
date_first_presence	Date
date_closed	Date

Unlock the potential of real-time, comprehensive Travel Data and Tourism Data with our precise 360-degree insights on any Point of Interest, empowering effective administration and making a real difference in destination management.

Discover the power of accurate and reliable travel data! We provide precise and dependable Tourism Data designed to help you manage your destination effectively. Our diverse data sets support a wide range of objectives, offering enriched insights to enhance your destination management strategies. -Analyze online content published by travellers to understand sentiment across various sectors with our Consumer Sentiment Data and Tourist Attraction Data. -Monitor trends in flight searches and bookings, and compare them against previous time periods using our comprehensive Tourism Data. -Predict demand for the next 12 months and assess Online Travel Agency (OTA) saturation and rates with our Occupancy Data to refine your pricing strategies. Our Occupancy Data ensures you can stay competitive by adjusting your approach based on accurate booking trends, and hotel occupancy rates reservations. -Track significant events impacting your territory, including concerts, sports fairs, and more, with projections up to 180 days in advance. -Evaluate the progress of your destination’s sustainability efforts and identify actionable steps for improvement with our insightful Tourism Data. -Track every step of your visitors' journey, analyse travel trends, and stay ahead of the competition with our comprehensive Tourism Data. Unlock the full potential of your destination with data-driven strategies that lead to success. Test our travel data today!

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.)

4 years of historical data

137	Online Sources Monitored
195	Countries Mapped
251	Million Points of Interest Mapped
320	Billion Pieces of Online Content Analyzed Each Day

Free sample available

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Request detailed pricing

Self-reported by the provider

95%

match rate

Methods

Frequency

Format

Flight Tracking

Benchmarking

Customer Data Insights

Market Analysis

Data Driven Marketing

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95% match rate

249 countries covered

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What is The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

What is The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 used for?

This product has 5 key use cases. The Data Appeal Company recommends using the data for Flight Tracking, Benchmarking, Customer Data Insights, Market Analysis, and Data Driven Marketing. Global businesses and organizations buy Tourist Attraction Data from The Data Appeal Company to fuel their analytics and enrichment.

Who can use The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Tourist Attraction Data. Get in touch with The Data Appeal Company to see what their data can do for your business and find out which integrations they provide.

How far back does the data in The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 go?

This Data Platform has 4 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. The Data Appeal Company is headquartered in Italy.

How much does The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 cost?

Pricing information for The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 is available by getting in contact with The Data Appeal Company. Connect with The Data Appeal Company to get a quote and arrange custom pricing models based on your data requirements.

How can I get The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

Businesses can buy Tourist Attraction Data from The Data Appeal Company and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, The Data Appeal Company can deliver this product in .csv and .xls format.

What is the data quality of The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

The Data Appeal Company has reported that this product has the following quality and accuracy assurances: 95% match rate. You can compare and assess the data quality of The Data Appeal Company using Datarade’s data marketplace. The Data Appeal Company has received 3 reviews from clients. The Data Appeal Company appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .

What are similar products to The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

This Data Platform has 3 related products. These alternatives include The Data Appeal Hospitality, Travel & Tourism Data API, Dataset 251M POI Coverage from 2019, Autoscraping’s Google Places Review Data Consumer Review Data : 10M+ Reviews with Ratings, Comments - Global Coverage (2024), and Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets. You can compare the best Tourist Attraction Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Verified Provider

3h Avg. response time

100% Response rate

The Data Appeal | Travel Data | API, Dataset | 200 Million+ POI Data Mapped | Coverage from 2019

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

The Data Appeal Company
Ready-to-use, reliable, and comprehensive POI data for your strategy

Trusted by

The Data Appeal | Travel Data | API, Dataset | 200 Million+ POI Data Mapped | Coverage from 2019

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

The Data Appeal Company Ready-to-use, reliable, and comprehensive POI data for your strategy

Trusted by

The Data Appeal Company
Ready-to-use, reliable, and comprehensive POI data for your strategy