Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations

#	"id"	name	rating	review_count	updated_at	ratings__count	ratings__title	ratings__topic	ratings__value	ratings__review_count	mentions__label	mentions__title	mentions__topic	mentions__rating	mentions__rating__key	mentions__rating__label	mentions__review_count	mentions__opinions_count	mentions__sentiment_score	mentions__neutral_opinions	mentions__negative_opinions	mentions__positive_opinions	mentions__positive_percentage	guests__\|	guests__\|__label	guests__\|__country	guests__\|__ratings__count	guests__\|__ratings__title	guests__\|__ratings__topic	guests__\|__ratings__value	guests__\|__ratings__review_count	guests__\|__travel_composition	summaries__any topic 10__slug	summaries__any topic 10__text	summaries__any topic 10__score	summaries__any topic 10__topic__-	summaries__any topic 10__language	summaries__any topic 10__sentiment	summaries__any topic 10__review_count	summaries__any topic 10__negative_opinions	summaries__any topic 10__positive_opinions	summaries__any topic 9__slug	summaries__any topic 9__text	summaries__any topic 9__score	summaries__any topic 9__topic__-	summaries__any topic 9__language	summaries__any topic 9__review_count	summaries__any topic 9__negative_opinions	summaries__any topic 9__positive_opinions	summaries__any topic 8__slug	summaries__any topic 8__text	summaries__any topic 8__score	summaries__any topic 8__topic__-	summaries__any topic 8__language	summaries__any topic 8__sentiment	summaries__any topic 8__review_count	summaries__any topic 8__negative_opinions	summaries__any topic 8__positive_opinions	summaries__any topic 7__slug	summaries__any topic 7__text	summaries__any topic 7__score	summaries__any topic 7__topic__-	summaries__any topic 7__language	summaries__any topic 7__sentiment	summaries__any topic 7__review_count	summaries__any topic 7__negative_opinions	summaries__any topic 7__positive_opinions	summaries__any topic 6__slug	summaries__any topic 6__text	summaries__any topic 6__topic__-	summaries__any topic 6__rating	summaries__any topic 6__language	summaries__any topic 6__sentiment	summaries__any topic 6__review_count	summaries__any topic 5__slug	summaries__any topic 5__text	summaries__any topic 5__topic__-	summaries__any topic 5__rating	summaries__any topic 5__language	summaries__any topic 5__sentiment	summaries__any topic 5__review_count	summaries__any topic 4__slug	summaries__any topic 4__text	summaries__any topic 4__topic__-	summaries__any topic 4__rating	summaries__any topic 4__language	summaries__any topic 4__sentiment	summaries__any topic 4__review_count	summaries__any topic 3__slug	summaries__any topic 3__text	summaries__any topic 3__topic__-	summaries__any topic 3__rating	summaries__any topic 3__language	summaries__any topic 3__sentiment	summaries__any topic 3__review_count	summaries__any topic 2__slug	summaries__any topic 2__text	summaries__any topic 2__topic__-	summaries__any topic 2__rating	summaries__any topic 2__language	summaries__any topic 2__sentiment	summaries__any topic 2__review_count	summaries__any topic 1__slug	summaries__any topic 1__text	summaries__any topic 1__language	summaries__any topic 1__count_delta	summaries__any topic 1__review_count	nearby_attractions__id	nearby_attractions__name	nearby_attractions__rating	nearby_attractions__distance	nearby_attractions__review_count	recent_reviews__source	recent_reviews__ratings__title	recent_reviews__ratings__topic	recent_reviews__ratings__rating	recent_reviews__ratings__category	recent_reviews__opinions__labels__001	recent_reviews__opinions__labels__002	recent_reviews__opinions__labels__003	recent_reviews__opinions__labels__004	recent_reviews__opinions__topics__001	recent_reviews__opinions__topics__002	recent_reviews__opinions__topics__003	recent_reviews__opinions__topics__004	recent_reviews__opinions__ratings__key	recent_reviews__opinions__ratings__label	recent_reviews__opinions__ratings__topics__key	recent_reviews__opinions__ratings__topics__label	recent_reviews__opinions__polarity	recent_reviews__opinions__strength	recent_reviews__sentiment	recent_reviews__review_date	recent_reviews__country_code	recent_reviews__country_name	recent_reviews__sentiment_score	recent_reviews__travel_composition	nearby_restaurants__id	nearby_restaurants__name	nearby_restaurants__rating	nearby_restaurants__distance	nearby_restaurants__review_count	tes__label	tes__score	tes__topic	tes__ratings	tes__numerical__count	tes__numerical__value	tes__numerical__review_count	tes__sentiment__rating	tes__sentiment__review_count	tes__sentiment__opinions_count	tes__sentiment__sentiment_score	tes__sentiment__neutral_opinions	tes__sentiment__negative_opinions	tes__sentiment__positive_opinions	tes__sentiment__positive_percentage	tes__review_count	nearby_accommodations__id	nearby_accommodations__name	nearby_accommodations__rating	nearby_accommodations__distance	nearby_accommodations__review_count
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Volume

Billion + records

Data Quality

94%

Precision in Sentiment

Avail. Format

.json

File

Coverage

249

Countries

History

years

[Sample] accommodation.csv

Attribute	Type	Example
"id"	Integer	279634
name	String	Hotel Malte - Astotel
rating	Float	95.60650406504065
review_count	Integer	1230
updated_at	DateTime	2023-06-29T03:11:41+00:00
ratings__count	Integer	1230
ratings__title	String	Overall
ratings__topic	String	overall
ratings__value	Float	95.60650406504065
ratings__review_count	Integer	1230
mentions__label	String	Overall
mentions__title	String	Overall
mentions__topic	String	overall
mentions__rating	String
mentions__rating__key	String	overall
mentions__rating__label	String	Overall
mentions__review_count	Integer	924
mentions__opinions_count	Integer	7301
mentions__sentiment_score	Float	9.447170141930961
mentions__neutral_opinions	Integer	963
mentions__negative_opinions	Integer	631
mentions__positive_opinions	Integer	5707
mentions__positive_percentage	Float	0.9004417797412433
guests__\|	String	countries
guests__\|__label	String	null
guests__\|__country	String	US
guests__\|__ratings__count	Integer	178
guests__\|__ratings__title	String	Overall
guests__\|__ratings__topic	String	overall
guests__\|__ratings__value	Float	96.0561797752809
guests__\|__ratings__review_count	Integer	178
guests__\|__travel_composition	String
summaries__any topic 10__slug	String
summaries__any topic 10__text	String
summaries__any topic 10__score	String
summaries__any topic 10__topic__-	String
summaries__any topic 10__language	String
summaries__any topic 10__sentiment	String
summaries__any topic 10__review_count	String
summaries__any topic 10__negative_opinions	String
summaries__any topic 10__positive_opinions	String
summaries__any topic 9__slug	String
summaries__any topic 9__text	String
summaries__any topic 9__score	String
summaries__any topic 9__topic__-	String
summaries__any topic 9__language	String
summaries__any topic 9__review_count	String
summaries__any topic 9__negative_opinions	String
summaries__any topic 9__positive_opinions	String
summaries__any topic 8__slug	String
summaries__any topic 8__text	String
summaries__any topic 8__score	String
summaries__any topic 8__topic__-	String
summaries__any topic 8__language	String
summaries__any topic 8__sentiment	String
summaries__any topic 8__review_count	String
summaries__any topic 8__negative_opinions	String
summaries__any topic 8__positive_opinions	String
summaries__any topic 7__slug	String
summaries__any topic 7__text	String
summaries__any topic 7__score	String
summaries__any topic 7__topic__-	String
summaries__any topic 7__language	String
summaries__any topic 7__sentiment	String
summaries__any topic 7__review_count	String
summaries__any topic 7__negative_opinions	String
summaries__any topic 7__positive_opinions	String
summaries__any topic 6__slug	String
summaries__any topic 6__text	String
summaries__any topic 6__topic__-	String
summaries__any topic 6__rating	String
summaries__any topic 6__language	String
summaries__any topic 6__sentiment	String
summaries__any topic 6__review_count	String
summaries__any topic 5__slug	String
summaries__any topic 5__text	String
summaries__any topic 5__topic__-	String
summaries__any topic 5__rating	String
summaries__any topic 5__language	String
summaries__any topic 5__sentiment	String
summaries__any topic 5__review_count	String
summaries__any topic 4__slug	String
summaries__any topic 4__text	String
summaries__any topic 4__topic__-	String
summaries__any topic 4__rating	String
summaries__any topic 4__language	String
summaries__any topic 4__sentiment	String
summaries__any topic 4__review_count	String
summaries__any topic 3__slug	String
summaries__any topic 3__text	String
summaries__any topic 3__topic__-	String
summaries__any topic 3__rating	String
summaries__any topic 3__language	String
summaries__any topic 3__sentiment	String
summaries__any topic 3__review_count	String
summaries__any topic 2__slug	String
summaries__any topic 2__text	String
summaries__any topic 2__topic__-	String
summaries__any topic 2__rating	String
summaries__any topic 2__language	String
summaries__any topic 2__sentiment	String
summaries__any topic 2__review_count	String
summaries__any topic 1__slug	String	review_count_reviews_in_the_past_6_months
summaries__any topic 1__text	String	1230 reviews in the past 6 months
summaries__any topic 1__language	String	en
summaries__any topic 1__count_delta	Float	100.0
summaries__any topic 1__review_count	Integer	1230
nearby_attractions__id	Integer	3881652
nearby_attractions__name	String	Danico
nearby_attractions__rating	Integer	90
nearby_attractions__distance	Float	0.07819331230700174
nearby_attractions__review_count	Integer	51
recent_reviews__source	String	trip_advisor
recent_reviews__ratings__title	String	Overall - General
recent_reviews__ratings__topic	String	overall_general
recent_reviews__ratings__rating	Float	100.0
recent_reviews__ratings__category	String	overall
recent_reviews__opinions__labels__001	String	Surrounding Area
recent_reviews__opinions__labels__002	String
recent_reviews__opinions__labels__003	String
recent_reviews__opinions__labels__004	String
recent_reviews__opinions__topics__001	String	surrounding_area
recent_reviews__opinions__topics__002	String
recent_reviews__opinions__topics__003	String
recent_reviews__opinions__topics__004	String
recent_reviews__opinions__ratings__key	String	location
recent_reviews__opinions__ratings__label	String	Location
recent_reviews__opinions__ratings__topics__key	String	surrounding_area
recent_reviews__opinions__ratings__topics__label	String	Surrounding Area
recent_reviews__opinions__polarity	String	positive
recent_reviews__opinions__strength	Integer	2
recent_reviews__sentiment	String	positive
recent_reviews__review_date	DateTime	2023-06-27T00:00:00+00:00
recent_reviews__country_code	String	GB
recent_reviews__country_name	String	United Kingdom
recent_reviews__sentiment_score	Float	1.0
recent_reviews__travel_composition	String	families
nearby_restaurants__id	Integer	5573538
nearby_restaurants__name	String	Ryukishin
nearby_restaurants__rating	Integer	90
nearby_restaurants__distance	Float	0.019882101065806835
nearby_restaurants__review_count	Integer	86
tes__label	String	Overall
tes__score	Float	9.511970850113375
tes__topic	String	overall
tes__ratings	String
tes__numerical__count	Integer	1230
tes__numerical__value	Float	95.60650406504065
tes__numerical__review_count	Integer	1230
tes__sentiment__rating	String	null
tes__sentiment__review_count	Integer	924
tes__sentiment__opinions_count	Integer	7301
tes__sentiment__sentiment_score	Float	9.447170141930961
tes__sentiment__neutral_opinions	Integer	963
tes__sentiment__negative_opinions	Integer	631
tes__sentiment__positive_opinions	Integer	5707
tes__sentiment__positive_percentage	Float	0.9004417797412433
tes__review_count	Integer	1230
nearby_accommodations__id	Integer	283275
nearby_accommodations__name	String	Hotel Louvre Richelieu
nearby_accommodations__rating	Integer	90
nearby_accommodations__distance	Float	0.05066140561239261
nearby_accommodations__review_count	Integer	104

This API give you access to the previous 12 months aggregated reviews of any given property in the travel domain. Verticals are Accommodations, Restaurants, Tours, Attractions, Airlines, Airports. The data is allowed for publication on websites

The Review Content / Summaries are based on the reviews collected on more than 45+ relevant online review- and travel sites. The data is the previous 12 months aggregated data and is constantly updated twice monthly. These sources are selected carefully as they need to cover both the global and regional guest opinions. All reviews are "post stay" and it contains at least a rating and a comment. The ratings are normalised to a 0-10 scale, same for subratings. All the comments are analysed on its sentiment, and per vertical different relevant topics are identified. The sentiment is also presented on a 0-10 scale. Besides ratings and topics, the API provides insights in Travel compositions, Languages, Nationalities and "things to do nearby / where to eat / Nearby places to stay". Includes per property level Name, Address, Geocodes, Postcodes, Country, Region Part of this subscription is the support of the team to help you get started. Via the API you will have access to over 7 million properties globally.

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.)

10 years of historical data

2	Billion + records

License	Starts at
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Monthly License	€5,000 / month
Yearly License	Not available
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

94%

Precision in Sentiment

Methods

Frequency

Format

Business Intelligence (BI) Origin-Destination (O-D) Analysis

Social proof for Online Travel Agents

Destination Reputation Management

Destination Travel insights

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What is Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations?

What is Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations used for?

This product has 5 key use cases. Olery recommends using the data for Business Intelligence (BI), Origin-Destination (O-D) Analysis, Social proof for Online Travel Agents, Destination Reputation Management, and Destination Travel insights. Global businesses and organizations buy Consumer Review Data from Olery to fuel their analytics and enrichment.

Who can use Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Review Data. Get in touch with Olery to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations go?

This Data API has 10 years of historical coverage. It can be delivered on a on-demand basis.

Which countries does Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Olery is headquartered in Netherlands.

How much does Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations cost?

Pricing for Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations starts at EUR5,000 per month. Connect with Olery to get a quote and arrange custom pricing models based on your data requirements.

How can I get Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations?

Businesses can buy Consumer Review Data from Olery and get the data via REST API. Depending on your data requirements and subscription budget, Olery can deliver this product in .json format.

What is the data quality of Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations?

Olery has reported that this product has the following quality and accuracy assurances: 94% Precision in Sentiment. You can compare and assess the data quality of Olery using Datarade’s data marketplace.

What are similar products to Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations?

This Data API has 3 related products. These alternatives include Olery - Worldwide Consumer Review Data / Summaries for the Travel & Hospitality Domain. Accommodations, Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets, and The Data Appeal Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019. You can compare the best Consumer Review Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

€5,000 / month

License	Starts at
One-off purchase	Not available
Monthly License	€5,000 / month
Yearly License	Not available
Usage-based	Not available

Verified Provider

Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

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Frequently asked questions

Olery
Olery is the leading provider of performance bigdata in the Travel Industry

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Olery - Worldwide Consumer Sentiment Data / Summaries for the Travel & Hospitality Domain. Attractions, Restaurants & Accommodations

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Olery Olery is the leading provider of performance bigdata in the Travel Industry

Trusted by

Olery
Olery is the leading provider of performance bigdata in the Travel Industry