The Data Appeal | Geospatial Data | 251 Million POIs Mapped | GDPR-compliant | 5 Years of Historic Data

#	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] Amsterdam_POI_Characterization.csv

Attribute	Type	Example
poi_id	String	ba5872298f911dc40fea1c7a651d2541ec67b3c2
type	String	service_unavailable
value	String	wheelchair_accessible_entrance
date_last_checked	DateTime	2024-02-28T00:00:00+00:00

[Sample] Amsterdam_POI_Data.csv

Attribute	Type	Example
poi_id	String	ceff13ae5af1c7909f297cfc268cf8d1cc3576b3
name	String	Cannibale Royale Rozengracht
street_address	String	Rozengracht 114 Amsterdam
latitude	Float	52.373231
longitude	Float	4.87917
industry	String	Food & Beverage
category	String	Restaurant
date_refreshed	DateTime	2024-03-04T00:00:00+00:00
name_translated
country	String	netherlands
state	String	noord-holland
county	String	amsterdam
city	String	amsterdam
stars
rooms
price_class	Integer	2
sentiment	Float	88.7
popularity	Float	87.05
hours_popular	String	{"monday":"evening","tuesday":"evening","wednesday":"even...
main_clusters	String	[{"cluster": "Appearance","sentiment": 88.89},{"cluster":...
most_discussed_topics	String	[{"topic": "food","sentiment": 93.98},{"topic": "service"...
spoken_languages	String	[{"language": "en","sentiment": 86.52,"percentage": 59.62...
traveler_origin
traveler_type
phone	String	+## ## ### ####
website	String	http://www.cannibaleroyale.nl/
brand_name
date_first_presence	DateTime	2019-03-13T00:00:00+00:00
date_closed

[Sample] Amsterdam_POI_Opening_Hours.csv

Attribute	Type	Example
poi_id	String	b13bcd15bf8bcb7ded53663446603b3ae76111b5
day_of_week	Integer	1
period_time	Integer	1
open_time	String	10:00
close_time	String	19:00
date_last_checked	DateTime	2024-02-28T00:00:00+00:00

[Sample] Amsterdam_POI_Popularity_Time_of_Day_Breakdown.csv

Attribute	Type	Example
poi_id	String	9a53b82957fb8b2fa1fb590dc72940acdd083fbd
date	DateTime	2021-12-01T00:00:00+00:00
period	String	weekend
time_period	String	(05-10) Early Morning
popularity	Float	9.04

[Sample] Amsterdam_POI_Popularity_Trend.csv

Attribute	Type	Example
poi_id	String	5c9bb8d616f30db5a5d66193cc845e85508abd93
date	DateTime	2022-02-01T00:00:00+00:00
popularity	Float	46.18

[Sample] Amsterdam_POI_Sentiment_Trend.csv

Attribute	Type	Example
poi_id	String	c19020c87d3f76fb8ccc4ba5cfe84d6caf5d9b21
date	DateTime	2022-03-01T00:00:00+00:00
reviews	Integer	2
sentiment	Float	66.25

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

Explore up-to-date Geospatial Data across 180+ countries and 800+ brands and business categories. Connect with our experts to enhance your strategy with precise, accurate Location Data data to elevate your approach to the next level.

Harness the power of our exclusive combination of geospatial, reputation, and market data to amplify your business strategies. Our comprehensive Geospatial Data stands out with its integration of Sentiment Data and Footfall insights for every Point of Interest (POI) across 180+ countries. Versatile Applications: Our Location Data is essential for various applications, including retail site selection, location-based marketing, location intelligence, marketing data enrichment, store opening or monitoring. Access Valuable Insights: Leverage our Retail Data to gain a deep understanding of your target market and audience in real-time. Our Consumer Sentiment Data and Footfall Insights enable you to easily identify high-potential locations and businesses, empowering you to make informed decisions with confidence. Unmatched Granularity: Experience superior Point of Interest (POI) data granularity, with detailed coverage at tile 14 (approximately 750x750 meters), and finer granularity options available at no extra cost. GDPR Compliant: We prioritize your data security with a steadfast commitment to GDPR compliance. Seamless Visualization: Our user-friendly .csv data packages integrate effortlessly with leading GIS systems like Esri, QGIS, Carto, and more. Proven Trust: Rely on our extensive coverage of 251M+ global POI locations and real-time sentiment analysis, with data coverage dating back to 2019. Elevate your data experience with our Location Data and unlock new possibilities!

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

The Data Appeal Company has not published pricing information for this product yet. You can request detailed pricing information below.

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Self-reported by the provider

95%

match rate

Methods

Frequency

Format

Location Intelligence Out-of-home (OOH) Advertising Retail Site Selection Sentiment Analysis Marketing Data Enrichment

Location Data Point of Interest (POI) Data Retail Data Consumer Sentiment Data Aggregated Foot Traffic Data

320 Billion Pieces of Online Content Analyzed Each Day

95% match rate

249 countries covered

Unlock invaluable insights with our extensive Consumer Data and Marketing Data, covering over 180 countries and supported by continuous updates since 2019. O...

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...

300K Retail Locations

249 countries covered

20 years of historical data

dataplor's Global Leading Multinational Retail Location Dataset covers 300K+ locations across 250 countries and territories, making it one of the most compre...

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...

What is The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data?

What is The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data used for?

This product has 5 key use cases. The Data Appeal Company recommends using the data for Location Intelligence, Out-of-home (OOH) Advertising, Retail Site Selection, Sentiment Analysis, and Marketing Data Enrichment. Global businesses and organizations buy Location Data from The Data Appeal Company to fuel their analytics and enrichment.

Who can use The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data?

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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data go?

This Tabular Data 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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data 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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data cost?

Pricing information for The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data 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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data?

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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data?

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 Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data?

This Tabular Data has 3 related products. These alternatives include The Data Appeal Consumer Data API & Dataset 251 POI Mapped 180+ countries GDPR-Compliant Historical Data Since 2019, Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States, and Global Leading Multinational Retailer Data 300K+ Businesses 250 Countries & Territories Site Selection Market Trends Retail Investment. 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

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The Data Appeal | Geospatial Data | 251 Million POIs Mapped | GDPR-compliant | 5 Years of Historic Data

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

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The Data Appeal | Geospatial Data | 251 Million POIs Mapped | GDPR-compliant | 5 Years of Historic Data

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