The Data Appeal | Hospitality, Travel and Tourism 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	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	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
2	xxxxxxxxxx	xxxxxx	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
3	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx
4	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx
5	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx
6	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx
7	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx
8	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx
9	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx
10	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	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

#	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

80%

match rate

Avail. Formats

.csv and .xls

File

Coverage

249

Countries

History

years

[Sample] POI_Characterization_Amsterdam.csv

Attribute	Type	Example
poi_id	String	0008ff33c71bcdeb511ea36010cd2b8b7d11e9a6
type	String	service_available
value	String	wheelchair_accessible
date_last_checked	DateTime	2023-09-13T00:00:00+00:00

[Sample] POI_Data_Amsterdam.csv

Attribute	Type	Example	Mapping
poi_id	String	73ed3ed0443478417464302156adc0dd355420b5
name	String	'T Hotel
street_address	String	Leliegracht 18 Amsterdam
latitude	Float	52.375161
longitude	Float	4.887147
industry	String	Hospitality
category	String	Hotel
date_refreshed	DateTime	2023-09-15T00:00:00+00:00
country	String	netherlands
state	String	noord-holland
county	String	amsterdam
city	String	amsterdam
stars	Integer	3
rooms	Integer	8
price_class	Integer	2
sentiment	Float	90.43
popularity	Float	75.53
hours_popular
main_clusters	String	[{"cluster": "Atmosphere","sentiment": 84.22},{"cluster":...
most_discussed_topics	String	[{"topic": "staff","sentiment": 98.91},{"topic": "room","...
spoken_languages	String	[{"language": "en","sentiment": 91.70,"percentage": 63.07...
traveler_origin	String	[{"country": "gb","sentiment": 92.85,"percentage": 16.93}...
traveler_type	String	[{"type": "couple","sentiment": 89.64,"percentage": 50.02...
phone	String	+## ## ### ####	Phone Number
website	String	http://www.thotel.nl/
date_first_presence	DateTime	2016-01-03T00:00:00+00:00
date_closed

[Sample] POI_Opening_Hours_Amsterdam.csv

Attribute	Type	Example
poi_id	String	001ff99f2bb87a80d5dca683af086f9c3109c661
day_of_week	Integer	0
period_time	Integer	1
open_time	String	17:45
close_time
date_last_checked	DateTime	2023-09-12T00:00:00+00:00

[Sample] POI_Popularity_Time_of_Day_Breakdown_Amsterdam.csv

Attribute	Type	Example
poi_id	String	001ff99f2bb87a80d5dca683af086f9c3109c661
date	DateTime	2021-09-01T00:00:00+00:00
period	String	weekend
time_period	String	(15-18) Late Afternoon
popularity	Float	14.61

[Sample] POI_Popularity_Trend_Amsterdam.csv

Attribute	Type	Example
poi_id	String	001ff99f2bb87a80d5dca683af086f9c3109c661
date	DateTime	2021-09-01T00:00:00+00:00
popularity	Float	53.65

[Sample] POI_Sentiment_Trend_Amsterdam.csv

Attribute	Type	Example
poi_id	String	001ff99f2bb87a80d5dca683af086f9c3109c661
date	DateTime	2021-09-01T00:00:00+00:00
reviews	Integer	6
sentiment	Float	87.92

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 power of Hospitality, Travel, and Tourism. Discover a wealth of insights within our Travel Booking Data, including in-depth Hotel Rates & Pricing Data, Tourist Attraction Data, Map and POI Data, spanning 180+ countries. Comprehensive coverage since 2019.

We provide you with accurate and reliable Tourism Data to help you invest wisely, uncover new opportunities, and achieve your destination's growth goals. Versatile Applications: Our Tourism Data enhance visitor experiences, boost operational efficiency, and support well-informed decisions, ultimately driving the growth of sustainable and competitive tourism destinations. Access Insights: Effortlessly access Travel Booking Data and Hotel Rates & Pricing Data enabling you to stay ahead of market trends and optimize pricing strategies. Fresh & Reliable: Access up-to-date and reliable Tourist Attraction Data. Historical data spanning up to 5 years enables trend analysis. Granularity: Our Map Data offers remarkable granularity, delivered at tile 14 (about 750x750 meters), and finer granularity options at no extra cost. GDPR Compliant: Our commitment to data security ensures GDPR compliance. Seamless Visualization: Our user-friendly .csv data packages seamlessly integrate with popular GIS systems like Esri, QGIS, Carto, and more. Trust in 251M+ global POI locations, real-time sentiment analysis, coverage since 2019. Boost your destination's growth with our Tourism Data!

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

80%

match rate

Methods

Frequency

Format

Location Intelligence Retail Site Selection Sentiment Analysis Marketing Data Enrichment Point of Interest (POI) Mapping

Map Data Hotel Rates & Pricing Data Tourist Attraction Data Travel Data Tourism Data

320 Billion Pieces of Online Content Analyzed Each Day

95% match rate

249 countries covered

Unlock the potential of real-time, comprehensive Travel Data and Tourism Data with our precise 360-degree insights on any Point of Interest, empowering effec...

99% Fill Rate

249 countries covered

Explore the world of travel with our comprehensive Trip Advisor dataset! Uncover valuable insights from a vast collection of hotel data, reviews, and ratings...

4.13M records available

97% Success rate in real-time

245 countries covered

Bright Data’s travel data collector is an easier and more cost-effective way to get dynamic competitive pricing, and forecasting consumer trends. Will automa...

1M Hotel ,Flight, Restaurant, Tourist Places Data Available

100% Customizable Data

60 countries covered

Unlock comprehensive Hospitality, Travel Tourism Data, including Hotel Rates & Pricing, Flight, and Restaurant Data. Dive into insights from Online Travel Ag...

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

What is The Data Appeal Hospitality, Travel and Tourism 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 Location Intelligence, Retail Site Selection, Sentiment Analysis, Marketing Data Enrichment, and Point of Interest (POI) Mapping. Global businesses and organizations buy Map Data from The Data Appeal Company to fuel their analytics and enrichment.

Who can use The Data Appeal Hospitality, Travel and Tourism 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 Map 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 Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 go?

This product 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 Hospitality, Travel and Tourism 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 Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019 cost?

Pricing information for The Data Appeal Hospitality, Travel and Tourism 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 Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

Businesses can buy Map 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 Hospitality, Travel and Tourism 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: 80% 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 Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019?

This product has 3 related products. These alternatives include The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019, Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets, and Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators. You can compare the best Map 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

5h Avg. response time

100% Response rate

The Data Appeal | Hospitality, Travel and Tourism 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 | Hospitality, Travel and Tourism 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