poi_id | type | value | date_last_checked |
---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxxx | xxxxxxxxxx |
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xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 5a29b6a0d9e788be013f4c6a41b46aa2d6718061 |
type | String | service_available |
value | String | dine_in |
date_last_checked | DateTime | 2024-02-28T00:00:00+00:00 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | ||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | ||||||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | ||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | |||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | x | xxxxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | |||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xx | xxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | ||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxx | xxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | ||||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xx | xxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | ||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | |||||||||||||||
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | ab09717d8ce4bc781b8d3548cfdfbb2cb5740213 |
name | String | Anthropologie |
street_address | String | The street address of this POI could not be resolved |
latitude | Float | 25.1978928 |
longitude | Float | 55.2778964 |
industry | String | Retail |
category | String | Clothing |
date_refreshed | DateTime | 2024-02-29T00:00:00+00:00 |
name_translated | ||
country | String | united arab emirates |
state | String | dubai |
county | String | sector 3 |
city | String | burj khalifa |
stars | ||
rooms | ||
price_class | ||
sentiment | Float | 84.29 |
popularity | Float | 31.54 |
hours_popular | String | {"monday":"late_morning","tuesday":"afternoon","wednesday":"afternoon","thursday":"afternoon","friday":"evening","saturday":"late_morning","sunday":"evening"} |
main_clusters | String | [{"cluster": "Atmosphere","sentiment": 50.00}] |
most_discussed_topics | ||
spoken_languages | String | [{"language": "en","sentiment": 65.00,"percentage": 66.67},{"language": "ar","sentiment": 100.00,"percentage": 33.33}] |
traveler_origin | ||
traveler_type | ||
phone | String | +971 4 256 1152 |
website | ||
brand_name | ||
date_first_presence | DateTime | 2023-01-14T00:00:00+00:00 |
date_closed |
poi_id | day_of_week | period_time | open_time | close_time | date_last_checked |
---|---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxxx | xxxxxxxxxx | |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | 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 | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxx | xxxxxxxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 9a02f00e059f746661b6a5a5104f8664fd06c1c3 |
day_of_week | Integer | 4 |
period_time | Integer | 1 |
open_time | String | 09:00 |
close_time | String | 18:00 |
date_last_checked | DateTime | 2024-02-28T00:00:00+00:00 |
poi_id | date | period | time_period | popularity |
---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxxxxx | xxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 330b26d5845e3d1150805c34e3794cf0a3efd7fd |
date | DateTime | 2022-03-01T00:00:00+00:00 |
period | String | weekend |
time_period | String | (05-10) Early Morning |
popularity | Float | 7.95 |
poi_id | date | popularity |
---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 07017352e4019c5f203f34e4ada40927333557e1 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
popularity | Float | 88.83 |
poi_id | date | reviews | sentiment |
---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | xx | xxxxx |
Attribute | Type | Example |
---|---|---|
poi_id | String | 28868c7ae52c0d5d25f0f1c61b6bc97a05c258c8 |
date | DateTime | 2021-12-01T00:00:00+00:00 |
reviews | Integer | 41 |
sentiment | Float | 83.42 |
Description
Discover the power of accurate and reliable travel data! We provide precise and dependable Tourism Data designed to help you manage your destination effectively. Our diverse data sets support a wide range of objectives, offering enriched insights to enhance your destination management strategies. -Analyze online content published by travellers to understand sentiment across various sectors with our Consumer Sentiment Data and Tourist Attraction Data. -Monitor trends in flight searches and bookings, and compare them against previous time periods using our comprehensive Tourism Data. -Predict demand for the next 12 months and assess Online Travel Agency (OTA) saturation and rates with our Occupancy Data to refine your pricing strategies. Our Occupancy Data ensures you can stay competitive by adjusting your approach based on accurate booking trends, and hotel occupancy rates reservations. -Track significant events impacting your territory, including concerts, sports fairs, and more, with projections up to 180 days in advance. -Evaluate the progress of your destination’s sustainability efforts and identify actionable steps for improvement with our insightful Tourism Data. -Track every step of your visitors' journey, analyse travel trends, and stay ahead of the competition with our comprehensive Tourism Data. Unlock the full potential of your destination with data-driven strategies that lead to success. Test our travel data today!
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
- Tourist Attraction Data
- Travel Data
- Consumer Sentiment Data
- Occupancy Data
- Tourism Data
Pricing
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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