Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with Custom and On-demand Datasets product image in hero

Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with Custom and On-demand Datasets

Grepsr
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#
Traveler Type
Time of Year
Review Title
Review Text
Date of Review
Reviewer Name
User Location
Language
Property URL
Value Rating
Rooms Rating
Location Rating
Cleanliness Rating
Service Rating
Sleep Quality Rating
Check in / front desk Rating
Business service (e.g., internet access) Rating
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Sign In To Preview Data
Data Quality
99%
Fill Rate
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries

Data Dictionary

[Sample] Tripadvisor_Reviews Sample.csv
Attribute Type Example Mapping
String Park Hyatt Dubai Company Name
String Dubai Creek Club St Dubai Creek Resort, Port Saeed, Dubai... Company Address
Integer 5 Product Rating
Traveler Type
String NONE
Time of Year
DateTime 12/31/2022
Review Title
String Best brunch in Dubai
Review Text
String Food, drink, ambiance are all perfect. The best brunch in...
Date of Review
String 12/10/2022
Reviewer Name
String Xuekang D
User Location
Language
String en
Property URL
String https://www.tripadvisor.com/Hotel_Review-g295424-d573855-...
Value Rating
Rooms Rating
Location Rating
Cleanliness Rating
Service Rating
Sleep Quality Rating
Check in / front desk Rating
Business service (e.g., internet access) Rating
Product Attributes
Attribute Type Example Mapping
String Park Hyatt Dubai Company Name
String ***** ***** **** ** ***** ***** ******, **** *****, *****... Address
Traveler Rating
Integer 5
Traveler Type
String Business
Review Title
String Best brunch in Dubai
Review Text
Food, drink, ambiance are all perfect. The best brunch in...
Date of Review
12/10/2022
Reviewer Name
Xuekang D

Description

Explore the world of travel with our comprehensive Trip Advisor dataset! Uncover valuable insights from a vast collection of hotel data, reviews, and ratings. Empower your analyses, research, and decision-making with this extensive resource. Unleash the potential of travel data today!
A. Market Research and Analysis: Utilize the Tripadvisor dataset to conduct in-depth market research and analysis in the travel and hospitality industry. Identify emerging trends, popular destinations, and customer preferences. Gain a competitive edge by understanding your target audience's needs and expectations. B. Competitor Analysis: Compare and contrast your hotel or travel services with competitors on Tripadvisor. Analyze their ratings, customer reviews, and performance metrics to identify strengths and weaknesses. Use these insights to enhance your offerings and stand out in the market. C. Reputation Management: Monitor and manage your hotel's online reputation effectively. Track and analyze customer reviews and ratings on Tripadvisor to identify improvement areas and promptly address negative feedback. Positive reviews can be leveraged for marketing and branding purposes. D. Pricing and Revenue Optimization: Leverage the Tripadvisor dataset to analyze pricing strategies and revenue trends in the hospitality sector. Understand seasonal demand fluctuations, pricing patterns, and revenue optimization opportunities to maximize your hotel's profitability. E. Customer Sentiment Analysis: Conduct sentiment analysis on Tripadvisor reviews to gauge customer satisfaction and sentiment towards your hotel or travel service. Use this information to improve guest experiences, address pain points, and enhance overall customer satisfaction. F. Content Marketing and SEO: Create compelling content for your hotel or travel website based on the popular keywords, topics, and interests identified in the Tripadvisor dataset. Optimize your content to improve search engine rankings and attract more potential guests. G. Personalized Marketing Campaigns: Use the data to segment your target audience based on preferences, travel habits, and demographics. Develop personalized marketing campaigns that resonate with different customer segments, resulting in higher engagement and conversions. H. Investment and Expansion Decisions: Access historical and real-time data on hotel performance and market dynamics from Tripadvisor. Utilize this information to make data-driven investment decisions, identify potential areas for expansion, and assess the feasibility of new ventures. I. Predictive Analytics: Utilize the dataset to build predictive models that forecast future trends in the travel industry. Anticipate demand fluctuations, understand customer behavior, and make proactive decisions to stay ahead of the competition. J. Business Intelligence Dashboards: Create interactive and insightful dashboards that visualize key performance metrics from the Tripadvisor dataset. These dashboards can help executives and stakeholders get a quick overview of the hotel's performance and make data-driven decisions. Incorporating the Tripadvisor dataset into your business processes will enhance your understanding of the travel market, facilitate data-driven decision-making, and provide valuable insights to drive success in the competitive hospitality industry

Geography

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.)

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
99%
Fill Rate

Delivery

Methods
S3 Bucket
SFTP
Email
Feed API
Frequency
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.csv
.xls
.txt

Use Cases

Competitor Insights
Sentiment Analysis Point of Interest (POI) Marketing
Brand Management
Trip Advisor Review

Categories

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Frequently asked questions

What is Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets?

Explore the world of travel with our comprehensive Trip Advisor dataset! Uncover valuable insights from a vast collection of hotel data, reviews, and ratings. Empower your analyses, research, and decision-making with this extensive resource. Unleash the potential of travel data today!

What is Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets used for?

This product has 5 key use cases. Grepsr recommends using the data for Competitor Insights, Sentiment Analysis, Point of Interest (POI) Marketing, Brand Management, and Trip Advisor Review. Global businesses and organizations buy Vacation Rental Data from Grepsr to fuel their analytics and enrichment.

Who can use Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets?

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

Which countries does Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Grepsr is headquartered in United States of America.

How much does Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets cost?

Pricing information for Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets is available by getting in contact with Grepsr. Connect with Grepsr to get a quote and arrange custom pricing models based on your data requirements.

How can I get Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets?

Businesses can buy Vacation Rental Data from Grepsr and get the data via S3 Bucket, SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Grepsr can deliver this product in .json, .csv, .xls, and .txt format.

What is the data quality of Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets?

Grepsr has reported that this product has the following quality and accuracy assurances: 99% Fill Rate. You can compare and assess the data quality of Grepsr using Datarade’s data marketplace. Grepsr has received 2 reviews from clients. Grepsr appears on selected Datarade top lists ranking the best data providers, including Best 5 Amazon Data Scrapers for Product Research & Analysis and Who’s New on Datarade? September Edition.

What are similar products to Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets?

This Tabular Data has 3 related products. These alternatives include Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets, The Data Appeal Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019, and PromptCloud Web Scraping Data - Custom Web Scraping & Data Extraction Solutions, Globally Scrape Web Data Sample Datasets Available PromptCloud. You can compare the best Vacation Rental Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

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