The Data Appeal | Company Data | API, Dataset | 251M POI Data Mapped | Coverage from 2019 | Estimate POI Sentiment and Footfall
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| poi_id | type | value | date_last_checked |
|---|---|---|---|
| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxx | xxxxxxxxxx |
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| 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 |
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| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxx | xxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | |||||||
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| 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 |
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| 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 |
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| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxx | x |
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| 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 |
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| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
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| 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 |
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| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxx |
| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
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| Attribute | Type | Example |
|---|---|---|
| poi_id | String | 0017057322b7865f99b3f927c393a7c8ee82fae9 |
| date | DateTime | 2021-09-01T00:00:00+00:00 |
| reviews | Integer | 5 |
| sentiment | Integer | 100 |
Description
Revolutionary Data Fusion: We present an unparalleled fusion of Company Data, enriched with Sentiment and Footfall insights for every Point of Interest (POI) and region, across online content, spanning 180 countries. Versatile Power: Our Point of Interest (POI) Data holds limitless potential, guiding retailers and FMCG brands in site selection, fueling marketing intelligence, supporting real estate investment analysis, risk assessment, sustainability management, and reputation analysis. Seize Insights: Our Company Data grants you effortless access to Sentiment and Popularity scores, empowering you to pinpoint high-potential locations and businesses. Current & Trustworthy: Our specialization lies in delivering up-to-date and dependable Business Location Data for every POI. Historical data, covering up to 5 years, facilitates trend analysis. Exceptional Detail: Our GIS Data offers remarkable granularity, provided at tile 14 (approximately 750x750 meters), with finer granularity options available at no extra cost. GDPR Compliance: Rest assured, our unwavering commitment to data security ensures GDPR compliance. Effortless Visualization: Our user-friendly .csv data packages seamlessly integrate with popular GIS systems such as Esri, QGIS, Carto, and more. Trust in 251M+ global POI locations, real-time sentiment analysis, coverage since 2019. Elevate your data experience with our Company Data!
Country Coverage
(249 countries)
Africa
(59)
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
(4)
Antarctica
Bouvet Island
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
Asia
(53)
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
Australia
(26)
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
Europe
(52)
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
North America
(41)
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.
South America
(14)
Argentina
Bolivia
Brazil
Chile
Colombia
Ecuador
Falkland Islands (Malvinas)
French Guiana
Guyana
Paraguay
Peru
Suriname
Uruguay
Venezuela
Data Categories
- Company Data
- Point of Interest (POI) Data
- GIS Data
- Business Location Data
- Restaurant Traffic Data
Pricing
Pricing available upon request
| One-off purchase |
Available |
| Monthly License |
Available |
| Yearly License |
Available |
| Usage-based |
Available |
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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