The Data Appeal | Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment | API, Dataset | 251M POI Data 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_SãoPaulo.csv

Attribute	Type	Example
poi_id	String	001bb89a8e4a72fc74cb4bd241a4ae65c0556f62
type	String	openings
value	String	wednesday_24h
date_last_checked	DateTime	2023-09-12T00:00:00+00:00

[Sample] POI_Data_SãoPaulo.csv

Attribute	Type	Example	Mapping
poi_id	String	0ee6bc6a5bc4b4d7ab618d6765bf3751ce199322
name	String	#Azullocadora
street_address	String	R. Vinte e Cinco de Março, 20 - Centro Histórico de São P...
latitude	Float	-23.5493575
longitude	Float	-46.6301381
industry	String	Services
category	String	Transport
date_refreshed	DateTime	2023-09-14T00:00:00+00:00
country	String	brazil
state	String	são paulo
county	String	são paulo
city	String	se
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	2023-09-13T00:00:00+00:00
date_closed

[Sample] POI_Opening_Hours_SãoPaulo.csv

Attribute	Type	Example
poi_id	String	001bb89a8e4a72fc74cb4bd241a4ae65c0556f62
day_of_week	Integer	0
period_time	Integer	1
open_time	String	Open
close_time
date_last_checked	DateTime	2023-09-12T00:00:00+00:00

[Sample] POI_Popularity_Time_of_Day_Breakdown_SãoPaulo.csv

Attribute	Type	Example
poi_id	String	001bb89a8e4a72fc74cb4bd241a4ae65c0556f62
date	DateTime	2021-09-01T00:00:00+00:00
period	String	weekdays
time_period	String	(05-10) Early Morning
popularity	Float	49.59

[Sample] POI_Popularity_Trend_SãoPaulo.csv

Attribute	Type	Example
poi_id	String	001bb89a8e4a72fc74cb4bd241a4ae65c0556f62
date	DateTime	2021-09-01T00:00:00+00:00
popularity	Float	82.68

[Sample] POI_Sentiment_Trend_SãoPaulo.csv

Attribute	Type	Example
poi_id	String	001bb89a8e4a72fc74cb4bd241a4ae65c0556f62
date	DateTime	2021-09-01T00:00:00+00:00
reviews	Integer	50
sentiment	Float	73.59

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

Leverage our Location Data to drive your growth with real-time resources. Dive into a wealth of information, including 180 million business hours, facility details, and extensive Map & POI Data. Identify investment opportunities with Consumer Sentiment Data and Real-Time Foot Traffic Insights.

Unlock the power of our comprehensive Location Data, spanning 180+ countries and 800+ brands and business categories. Enriched with industry-specific details, our Location Data offers the latest updates and precise information. Discover countless applications for our invaluable Map Data, which plays a pivotal role in site selection, marketing strategies, real estate investments, risk assessment, sustainability planning, and reputation analysis. Access both standard and enriched information, seamlessly integrating standard Location Data with the insights of Consumer Sentiment Data and Online Search Trends Data. Also, harness the power of Real-Time Foot Traffic Data for instant insights. Count on us for consistently fresh and dependable Map Data for every point of interest (POI). Additionally, historical data spanning up to 5 years provides valuable insights into trends and changes over time. Our data is delivered with high granularity, ensuring it meets your specific needs while fully adhering to GDPR compliance for data security and privacy. Effortlessly visualize our data with GIS, giving you the tools necessary to thrive in today's competitive landscape.

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

Location Data Map Data Online Search Trends Data Real-Time Foot Traffic Data Consumer Sentiment Data

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Reach out to the experts for Geographic Data, Point of Interest (POI) Data, and GIS Data. Unlock unparalleled insights with our Location Data. Explore Map Da...

11M POI (Points of Interest)

240 countries covered

1 years of historical data

Global location data including points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality data al...

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...

50B global signals per day

100% deterministic data

247 countries covered

Foot traffic data helps you understand activity and visits to specific sites or areas across the world. Get up to 3 years of historical data for any location.

What is The Data Appeal Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019?

What is The Data Appeal Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data 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 Location Data from The Data Appeal Company to fuel their analytics and enrichment.

Who can use The Data Appeal Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location 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 Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data 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 Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data 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 Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019 cost?

Pricing information for The Data Appeal Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data 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 Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019?

Businesses can buy Location 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 Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data 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 Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019?

This product has 3 related products. These alternatives include The Data Appeal Global Geographic Data API, Dataset 251M POI Data Mapped Coverage from 2019, SafeGraph: Location Data - Global Coverage 52M+ POIs, and Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location. You can compare the best Location 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 Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment | API, Dataset | 251M POI Data 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 | Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment | API, Dataset | 251M POI Data 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