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The Data Appeal | Global Location Data Insights, Consumer Sentiment...
The Data Appeal | Global Location Data Insights, Consumer Sentiment Data, Map...
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The Data Appeal | Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment | API, Dataset | 251M POI Data Coverage from 2019 product image in hero

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
5.0(3)Badge iconVerified Data Provider
Contact Provider Save for later
Data Samples
POI_Characterization_SãoPaulo.csv POI_Data_SãoPaulo.csv POI_Opening_Hours_SãoPaulo.csv POI_Popularity_Time_of_Day_Breakdown_SãoPaulo.csv POI_Popularity_Trend_SãoPaulo.csv POI_Sentiment_Trend_SãoPaulo.csv
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poi_id
type
value
date_last_checked
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10 xxxxxx xxxxxxx xxxxxxx Xxxxx
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#
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
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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
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#
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
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10 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
... Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx
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#
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
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9 xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx
10 Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx
... xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx
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#
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
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#
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
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Sign In To Preview Data
POI_Characterization_SãoPaulo.csv POI_Data_SãoPaulo.csv POI_Opening_Hours_SãoPaulo.csv POI_Popularity_Time_of_Day_Breakdown_SãoPaulo.csv POI_Popularity_Trend_SãoPaulo.csv POI_Sentiment_Trend_SãoPaulo.csv
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
4
years

Data Dictionary

[Sample] POI_Characterization_SãoPaulo.csv
Attribute Type Example Mapping
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 Mapping
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 Mapping
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 Mapping
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 Mapping
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

Description

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.

Country Coverage

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.)

History

4 years of historical data

Volume

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

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
80%
match rate

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.csv
.xls

Use Cases

Categories

Related Searches

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Frequently asked questions

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

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.

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 Location Data 3.5M+ Points of Interest (POI) in US and Canada Places Data Comprehensive Coverage. 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

The Data Appeal Company

Ready-to-use, reliable, and comprehensive POI data for your strategy
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