Autoscraping's TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024) product image in hero

Autoscraping's TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)

AutoScraping
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Data Samples
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id
id_source
id_place
post_date
comment_title
comment_body
rating
date_scraped
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2 Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx
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... xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx
Sign In To Preview Data
Volume
8M
records
Avail. Formats
.json, .xml, and .csv
File
Coverage
250
Countries

Data Dictionary

[Sample] tripadvisor.csv
Attribute Type Example Mapping
id
Integer 25966
id_source
Integer 1
id_place
Integer 2
post_date
DateTime 2024-03-25T00:00:00+00:00
comment_title
String Don't Believe the Hype
comment_body
String My family choose to visit Massanutten Resort for a family...
rating
Integer 2
date_scraped
DateTime 2024-03-26T00:00:00+00:00

Description

Access 8M+ global TripAdvisor reviews with ratings and detailed comments. Ideal for hospitality insights, market research, and competitive analysis. High-quality, updated data covering diverse industries worldwide
What Makes Our Data Unique? Autoscraping’s TripAdvisor Review Data is an invaluable resource for organizations seeking deep insights into the hospitality and tourism industries. With over 8 million reviews from TripAdvisor, one of the world’s most trusted platforms for travel and leisure reviews, this dataset offers unparalleled access to customer feedback across a wide array of businesses, including hotels, restaurants, attractions, and more. Our data is unique due to its detailed nature and global reach. Each review in our dataset includes critical attributes such as ratings, comment titles, detailed comment bodies, post dates, and more. This rich metadata allows users to conduct nuanced sentiment analysis, track trends over time, and understand consumer preferences at a granular level. Whether you’re looking to assess customer satisfaction, identify emerging trends, or benchmark against competitors, our data provides the insights you need to make informed decisions. Moreover, our dataset is regularly updated, ensuring that it reflects the most current opinions and trends in the hospitality and tourism sectors. This real-time aspect of our data makes it an essential tool for businesses aiming to stay ahead of the curve in an increasingly competitive market. How is the Data Generally Sourced? The data is sourced directly from TripAdvisor, a leading global platform for travel-related reviews and recommendations. We use advanced web scraping techniques to extract comprehensive review data from TripAdvisor, capturing every relevant detail with high precision and accuracy. Our scraping process is meticulously designed to ensure the integrity and quality of the data. The data extraction is performed at regular intervals to maintain up-to-date information. Each review entry undergoes thorough data validation and cleaning processes to remove duplicates, correct inconsistencies, and ensure accuracy. This rigorous approach guarantees that the data you receive is reliable, complete, and ready for analysis. Primary Use-Cases and Verticals This TripAdvisor Review Data is versatile and applicable across numerous verticals, making it an essential resource for various business needs: Hospitality and Tourism Insights: Companies in the hospitality and tourism sectors can leverage this data to gain a deeper understanding of customer preferences, satisfaction levels, and pain points. By analyzing reviews and ratings, businesses can identify what drives customer satisfaction and make informed decisions to improve their services. Market Research and Consumer Insights: Market researchers can use this dataset to track trends, measure consumer sentiment, and analyze customer behavior across different regions and demographics. The data provides valuable insights into how consumers perceive various hospitality services, enabling companies to align their offerings with market demand. Brand Reputation Management: Businesses can monitor their brand reputation across different locations and services by analyzing the reviews in this dataset. This allows companies to track customer sentiment over time, respond to feedback, and implement strategies to enhance their brand image and customer loyalty. Competitive Analysis: By examining reviews and ratings of competitors, businesses can gain insights into their strengths and weaknesses. This information can be used to develop competitive strategies, improve service offerings, and capture a larger share of the market. Product and Service Improvement: Detailed customer feedback from TripAdvisor reviews can be invaluable for identifying areas where products or services may need improvement. Companies can use this data to enhance their offerings, leading to higher customer satisfaction and better business outcomes. Location-Based Marketing: Marketers can use this dataset to tailor their campaigns based on regional preferences and sentiments. The global coverage and detailed feedback allow for precise targeting, ensuring that marketing efforts resonate with the intended audience. Real-Time Sentiment Analysis: The continuous updates to our dataset make it ideal for real-time sentiment analysis. Companies can track how customer sentiment evolves in response to new services, promotions, or market events, allowing them to adjust their strategies quickly and effectively. How Does This Data Product Fit into Our Broader Data Offering? Autoscraping’s TripAdvisor Review Data is a crucial component of our extensive data portfolio, which includes datasets covering various aspects of consumer feedback, social media sentiment, and business performance metrics. This dataset complements our broader offering by providing a detailed view of customer opinions and experiences in the global hospitality and tourism industries. By integrating TripAdvisor Review Data with other datasets in our portfolio, users can develop a more comprehensive understanding of consumer behavior and market dynamics. For example, combining review data with social media sentiment analysis can provide a more holistic view of brand perception and consumer trends, enabling businesses to make more informed decisions. Our commitment to delivering high-quality, actionable data is reflected in our continuous efforts to enhance and expand our datasets. Whether you are in hospitality, tourism, retail, or any other industry, our data products are designed to meet your specific needs and help you achieve your business goals.

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 (52)
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
Kosovo
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.)

Volume

8 million records

Pricing

License Starts at
One-off purchase
$4,500 / purchase
Monthly License
$450 / month
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Frequency
daily
weekly
monthly
quarterly
Format
.json
.xml
.csv
.xls
.sql

Use Cases

Audience Insights
Audience Analytics
Sentiment Analysis
Analytics
Pricing Analysis

Categories

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Frequently asked questions

What is Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)?

Access 8M+ global TripAdvisor reviews with ratings and detailed comments. Ideal for hospitality insights, market research, and competitive analysis. High-quality, updated data covering diverse industries worldwide

What is Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024) used for?

This product has 5 key use cases. AutoScraping recommends using the data for Audience Insights, Audience Analytics, Sentiment Analysis, Analytics, and Pricing Analysis. Global businesses and organizations buy Consumer Review Data from AutoScraping to fuel their analytics and enrichment.

Who can use Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)?

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 AutoScraping to see what their data can do for your business and find out which integrations they provide.

Which countries does Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024) cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. AutoScraping is headquartered in Argentina.

How much does Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024) cost?

Pricing for Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024) starts at USD450 per month. Connect with AutoScraping to get a quote and arrange custom pricing models based on your data requirements.

How can I get Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)?

Depending on your data requirements and subscription budget, AutoScraping can deliver this product in .json, .xml, .csv, .xls, and .sql format.

What is the data quality of Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)?

You can compare and assess the data quality of AutoScraping using Datarade’s data marketplace.

What are similar products to Autoscraping’s TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)?

This product has 3 related products. These alternatives include Autoscraping’s Yelp Review Data: 5M+ Global Business Reviews with Ratings and Comments for Consumer Insights (2024), The Data Appeal Flight Data, Travel Booking Data & Tourism Data API, Dataset Global, and OpenWeb Ninja Yelp Consumer Review Data & Ratings, Local Business Listings Data, Restaurants, Home Services + More Global Coverage Real-Time API. 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
$450 / month
License Starts at
One-off purchase
$4,500 / purchase
Monthly License
$450 / month
Yearly License Not available
Usage-based Not available

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