The Data Appeal | Global Map Data | API, Dataset | 251M POI Data | Coverage from 2019 | Measure sentiment and Customer Experience

#	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	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	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_Data_New_York_City_sample_2023.csv

Attribute	Type	Example	Mapping
poi_id	String	c68f02f049e223437c2c6584cf44bef551ba045d
name	String	&Walsh
street_address	String	900 Broadway # 203 New York
latitude	Float	40.7388288
longitude	Float	-73.9896311
industry	String	Freelance
category	String	Design agency
date_refreshed	DateTime	2023-09-13T00:00:00+00:00
country	String	united states
state	String	new york
county	String	new york
city	String	new york
stars
rooms
price_class
sentiment
popularity
hours_popular
main_clusters
most_discussed_topics
spoken_languages
traveler_origin
traveler_type
phone	String	+# ###-###-####	Phone Number
website
date_first_presence	DateTime	2019-06-19T00:00:00+00:00
date_closed

[Sample] POI_Characterization_New_York_City_sample_2023.csv

Attribute	Type	Example
poi_id	String	0025accf05d317904c5ef8927adaa2733d6fae98
type	String	service_available
value	String	wheelchair_accessible_entrance
date_last_checked	DateTime	2023-09-12T00:00:00+00:00

[Sample] POI_Opening_Hours_New_York_City_sample_2023.csv

Attribute	Type	Example
poi_id	String	002fcc33d377c2ee796626787f353243a9d49e80
day_of_week	Integer	0
period_time	Integer	1
open_time	String	Closed
close_time
date_last_checked	DateTime	2023-09-12T00:00:00+00:00

[Sample] POI_Popularity_Time_of_Day_Breakdown__New_York_City_sample_2023.csv

Attribute	Type	Example
poi_id	String	00b45e0db4bc0274d319ea9e3a3eadc4d350dbb2
date	DateTime	2021-09-01T00:00:00+00:00
period	String	weekdays
time_period	String	(10-12) Late Morning
popularity	Float	20.41

[Sample] POI_Popularity_Trend_New_York_City_sample_2023.csv

Attribute	Type	Example
poi_id	String	00b45e0db4bc0274d319ea9e3a3eadc4d350dbb2
date	DateTime	2021-09-01T00:00:00+00:00
popularity	Float	48.2

[Sample] POI_Sentiment_Trend_New_York_City_sample_2023.csv

Attribute	Type	Example
poi_id	String	00b45e0db4bc0274d319ea9e3a3eadc4d350dbb2
date	DateTime	2021-09-01T00:00:00+00:00
reviews	Integer	4
sentiment	Integer	55

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

Reach out to the experts for Map Data, Places Data, and Point of Interest (POI) Data! Unlock unparalleled insights with our B2B Marketing Data. Explore Aggregated Places Data, Point of Interest (POI), and Business Map Data across 180+ countries. Coverage since 2019.

Unique Data Fusion: We offer an exceptional blend of geolocalized data enriched with Sentiment and Aggregated Places Data for every Point of Interest (POI) and territory, spanning 180 countries. Versatile Applications: Our data finds endless applications, from guiding retailers and FMCG brands in site selection to fueling marketing intelligence. It aids real estate investment analysis, risk assessment, sustainability management, and reputation analysis. Access Insights: Easily access Sentiment and Popularity scores, empowering you to pinpoint high-potential places and businesses. Fresh & Reliable: We specialize in delivering up-to-date and reliable information for every POI. 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. Elevate your data experience with us!

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 Point of Interest (POI) Data B2B Marketing Data Aggregated Foot Traffic Data Places Data

map data united kingdom

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Contact our team of experts for up-to-date and reliable Map Data! Unlock unparalleled insights with our Point of Interest (POI) Data. Explore Location Data a...

11M POI (Points of Interest)

240 countries covered

1 years of historical data

Global business listings information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-qua...

420M MAU

90% horizontal accuracy

249 countries covered

We provide Location Intelligence Data/POI with identity data, which helps power geographical information system (GIS) tools and provides data-driven insights...

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...

What is The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience?

What is The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience 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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience?

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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience 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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience 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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience cost?

Pricing information for The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience 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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience?

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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience?

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 Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience?

This product has 3 related products. These alternatives include The Data Appeal Map Data API, Dataset 200 Million + POI Data Mapped Evaluate Customer Experience and Sentiment, Global POI Data 52M+ POIs Business Listings POI for Maps, and Factori Location Intelligence with Profile POI + People Data . 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 | Global Map Data | API, Dataset | 251M POI Data | Coverage from 2019 | Measure sentiment and Customer Experience

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 | Global Map Data | API, Dataset | 251M POI Data | Coverage from 2019 | Measure sentiment and Customer Experience

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