Data · dataset · 2025
A Dataset of TripAdvisor Guest Reviews for Major Hotels in Salalah, Oman
Listed in ScienceDB
This dataset contains TripAdvisor guest reviews for major hotels in Salalah, Oman, collected through web scraping.
Description
It provides insights into guest satisfaction, sentiment, and ratings, making it a valuable resource for marketing, hospitality and tourism research, sentiment analysis, and tourism marketing studies. The dataset features guest reviews from the following hotels in Salalah:• Al Baleed Resort Salalah by Anantara• Belad Bont Resort• Crowne Plaza Resort Salalah• Fanar Hotel and Residences• Hilton Salalah Resort• Juweira Boutique Hotel• Millennium Resort Salalah• Salalah Gardens Hotel• Salalah Rotana Resort The dataset captures all available guest reviews from the beginning of each hotel's presence on TripAdvisor up until February 2025. 2040This dataset is particularly beneficial for the following government agencies:• Ministry of Heritage and Tourism - Oman• Oman Chamber of Commerce & Industry (OCCI)• Dhofar Municipality and Dhofar Tourism Department• National Centre for Statistics and Information (NCSI)• Oman Vision 2040 Implementation Follow-up Unit• Ministry of Commerce, Industry, and Investment Promotion• Oman Tourism Development Company (OMRAN)• Ministry of Transport, Communications, and Information Technology (MTCIT)• Dhofar Governorate Office• Ministry of Environment and Climate AffairsIt also serves as a valuable resource for researchers, policymakers, and marketing, hospitality & tourism professionals to enhance Salalah’s tourism sector, improve guest satisfaction, and support Oman’s long-term vision for a thriving and sustainable tourism industry.Salalah experiences a surge in visitors during the Khareef season (monsoon season), a critical period for the hospitality industry.
This dataset can help analyze guest experiences, identify service gaps, and optimize offerings during this peak tourism period.Oman Vision 2040 GoalsThe dataset aligns with Oman’s Vision 2040, which prioritizes tourism sector growth, economic diversification, and enhanced customer experiences. By leveraging sentiment analysis and guest insights, policymakers and hotel managers can develop data-driven strategies to improve hospitality services, attract more visitors, and enhance Salalah’s reputation as a premier travel destination.Potential Use CasesSentiment Analysis: Understanding guest satisfaction trends over timeTourism & Hospitality Research: Evaluating service quality and hotel performance across different yearsMarketing Insights: Identifying key drivers of positive and negative reviews for strategic decision-makingMachine Learning & NLP: Training models for text classification, sentiment prediction, and recommendation systems
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.21266 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.21266 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |