poi_id | type | value | date_last_checked |
---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 0017057322b7865f99b3f927c393a7c8ee82fae9 |
type | String | atmosphere |
value | String | family_friendly |
date_last_checked | DateTime | 2023-09-12T00:00:00+00:00 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxx | xxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | |||||||
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xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | |||||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | |||||||||||
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xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | |||||||||
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xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 4eb6aaf43f81905019576f3b22d2fe3189429bdc |
name | String | % Arabacia Plaza Indonesia |
street_address | String | Plaza Indonesia, Jl. M.H. Thamrin No.Kav. 28-30, RT.9/RW.5, Gondangdia, Kec. Menteng, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10350, Indonesia |
latitude | Float | -6.1929989 |
longitude | Float | 106.8222671 |
industry | String | Food & Beverage |
category | String | Cafe |
date_refreshed | DateTime | 2023-09-14T00:00:00+00:00 |
country | String | indonesia |
state | String | jakarta raya |
county | String | jakarta pusat |
city | String | menteng |
stars | ||
rooms | ||
price_class | ||
sentiment | Float | 86.2 |
popularity | Float | 60.25 |
hours_popular | String | {"monday":"evening","tuesday":"afternoon","wednesday":"evening","thursday":"afternoon","friday":"evening","saturday":"mid_day","sunday":"afternoon"} |
main_clusters | String | [{"cluster": "Appearance","sentiment": 70.00},{"cluster": "Atmosphere","sentiment": 57.89},{"cluster": "Costs","sentiment": 0.00},{"cluster": "Food Quality","sentiment": 85.45},{"cluster": "Hospita... |
most_discussed_topics | String | [{"topic": "coffee","sentiment": 87.18},{"topic": "latte","sentiment": 87.50},{"topic": "ice cream","sentiment": 80.00},{"topic": "staff","sentiment": 80.00},{"topic": "area","sentiment": 40.00}] |
spoken_languages | String | [{"language": "en","sentiment": 81.44,"percentage": 58.82},{"language": "id","sentiment": 87.83,"percentage": 33.82},{"language": "ar","sentiment": 100.00,"percentage": 2.94},{"language": "ja","sen... |
traveler_origin | ||
traveler_type | ||
phone | String | +62 811-1918-5167 |
website | ||
date_first_presence | DateTime | 2021-11-04T00:00:00+00:00 |
date_closed |
poi_id | day_of_week | period_time | open_time | close_time | date_last_checked |
---|---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxxx | xxxxxxxxxx | |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxxx | xxxxxxxxxx | |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 002bb746b324b9db24cde7cbff4c853c7113f233 |
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 |
poi_id | date | period | time_period | popularity |
---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxx | x |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 0017057322b7865f99b3f927c393a7c8ee82fae9 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
period | String | weekend |
time_period | String | (12-15) Early Afternoon |
popularity | Float | 29.21 |
poi_id | date | popularity |
---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 0017057322b7865f99b3f927c393a7c8ee82fae9 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
popularity | Float | 51.19 |
poi_id | date | reviews | sentiment |
---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 0017057322b7865f99b3f927c393a7c8ee82fae9 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
reviews | Integer | 5 |
sentiment | Integer | 100 |
Description
Why choose Data Appeal as your next data provider? Cutting-Edge Data Fusion: We provide a powerful combination of Store Location Data enriched with customer experience and popularity insights (a footfall proxy) for every Point of Interest (POI) and territory, covering 180 countries. Versatile Applications: Our B2B Marketing Data has wide-ranging uses, from assisting retailers and FMCG brands in site selection to enhancing marketing intelligence. It supports real estate investment analysis, risk assessment, sustainability management, and reputation analysis. Access Insights: Easily access Sentiment and Popularity scores, helping you identify 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 Location Data offers impressive granularity, provided at tile 14 (about 750x750 meters), with finer granularity options at no extra cost. Comprehensive GDPR-Compliant Store Location Data: 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, and coverage since 2019. Enhance your data experience with our Places Data!
Country Coverage
(249 countries)- Algeria
- Angola
- Benin
- Botswana
- Burkina Faso
- Burundi
- Cabo Verde
- Cameroon
- Central African Republic
- Chad
- Comoros
- Congo
- Congo, The Democratic Republic of the
- Côte d'Ivoire
- Djibouti
- Egypt
- Equatorial Guinea
- Eritrea
- Eswatini
- Ethiopia
- French Southern Territories
- 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
- Tanzania
- Togo
- Tunisia
- Uganda
- Western Sahara
- Zambia
- Zimbabwe
- Antarctica
- Bouvet Island
- Heard Island and McDonald Islands
- South Georgia and the South Sandwich Islands
- Afghanistan
- Armenia
- Azerbaijan
- Bahrain
- Bangladesh
- Bhutan
- British Indian Ocean Territory
- Brunei Darussalam
- Cambodia
- China
- Christmas Island
- Cocos (Keeling) Islands
- Cyprus
- Georgia
- Hong Kong
- India
- Indonesia
- Iran
- Iraq
- Israel
- Japan
- Jordan
- Kazakhstan
- Kuwait
- Kyrgyzstan
- Lao People's Democratic Republic
- Lebanon
- Macao
- Malaysia
- Maldives
- Mongolia
- Myanmar
- Nepal
- North Korea
- Oman
- Pakistan
- Palestine, State of
- Philippines
- Qatar
- Saudi Arabia
- Singapore
- South Korea
- Sri Lanka
- Syrian Arab Republic
- Taiwan
- Tajikistan
- Thailand
- Timor-Leste
- Turkmenistan
- United Arab Emirates
- Uzbekistan
- Vietnam
- Yemen
- 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
- United States Minor Outlying Islands
- Vanuatu
- Wallis and Futuna
- Albania
- Andorra
- Austria
- Belarus
- Belgium
- Bosnia and Herzegovina
- Bulgaria
- Croatia
- Czechia
- Denmark
- Estonia
- Faroe Islands
- Finland
- France
- Germany
- Gibraltar
- Greece
- Guernsey
- Holy See (Vatican City State)
- Hungary
- Iceland
- Ireland
- Isle of Man
- Italy
- Jersey
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Malta
- Moldova
- Monaco
- Montenegro
- Netherlands
- North Macedonia
- Norway
- Poland
- Portugal
- Romania
- Russian Federation
- San Marino
- Serbia
- Slovakia
- Slovenia
- Spain
- Svalbard and Jan Mayen
- Sweden
- Switzerland
- Türkiye
- Ukraine
- United Kingdom
- Åland Islands
- Anguilla
- Antigua and Barbuda
- Aruba
- Bahamas
- Barbados
- Belize
- Bermuda
- Bonaire, Sint Eustatius and Saba
- Canada
- Cayman Islands
- Costa Rica
- Cuba
- Curaçao
- Dominica
- Dominican Republic
- El Salvador
- Greenland
- Grenada
- Guadeloupe
- Guatemala
- Haiti
- Honduras
- Jamaica
- Martinique
- Mexico
- Montserrat
- Nicaragua
- Panama
- Puerto Rico
- Saint Barthélemy
- Saint Kitts and Nevis
- Saint Lucia
- Saint Martin (French part)
- Saint Pierre and Miquelon
- Saint Vincent and the Grenadines
- Sint Maarten (Dutch part)
- Trinidad and Tobago
- Turks and Caicos Islands
- United States
- Virgin Islands, British
- Virgin Islands, U.S.
- Argentina
- Bolivia
- Brazil
- Chile
- Colombia
- Ecuador
- Falkland Islands (Malvinas)
- French Guiana
- Guyana
- Paraguay
- Peru
- Suriname
- Uruguay
- Venezuela
Data Categories
- Location Data
- Company Registry Data
- Store Location Data
- B2B Marketing Data
- Places Data
Pricing
Volumes
- Online Sources Monitored
- 137
- Countries Mapped
- 195
- Million Points of Interest Mapped
- 251
- Billion Pieces of Online Content Analyzed Each Day
- 320
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