The Thomas Cook Guest Reviews Dataset offers valuable insights into traveler experiences by analyzing customer sentiments and hotel ratings. Businesses can leverage this dataset to understand guest preferences and improve service offerings. By utilizing advanced techniques to Scrape Thomas Cook Feedback, companies gain access to authentic reviews, helping them refine their strategies and enhance customer satisfaction in the competitive hospitality industry.
Effortlessly Extract Valuable Travel Data
Leverage Travel Data Scraping to collect real-time insights from tap travel apps and websites. Access crucial data like hotel availability, Flight schedules, pricing trends, and customer reviews to stay competitive in the travel industry.
The Thomas Cook Guest Reviews Dataset provides valuable insights into traveler experiences across various destinations, including the USA, Italy, Germany, Canada, Australia, the UK, UAE, Spain, China, India, Japan, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. By utilizing Hotel Data Scraping Services, businesses can analyze customer sentiments, service quality, and evolving travel trends. This dataset supports in-depth market analysis, enabling travel companies to enhance their offerings through data-driven decisions. With Web Scraping Thomas Cook Hotels Data, businesses can track guest preferences, assess hospitality standards, and refine service strategies to stay ahead in the competitive hospitality industry, ensuring an improved customer experience and sustainable growth.
| Review Reference ID | Hotel / Resort Name | Hotel Location (City, Country) | Reviewer ID | Reviewer Country | Review Date | Stay Date | Room Type | Stay Duration (Nights) | Trip Type | Booking Source | Overall Rating (1-5) | Cleanliness Rating | Service Rating | Location Rating | Value Rating | Facilities Rating | Review Title | Review Text | Language | Review Sentiment | Verified Stay | Hotel / Platform Response |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TC001 | Atlantis The Palm | Dubai, UAE | TC_AE101 | United Kingdom | 9/12/2025 | 9/7/2025 | Ocean View Suite | 5 | Family | Thomas Cook Holidays | 5 | 5 | 5 | 5 | 5 | 5 | Exceptional family resort | The water park was a hit with kids. Excellent service throughout! | English | Positive | Yes | Thank you for staying - we-re thrilled your family enjoyed Atlantis! |
| TC002 | Taj Exotica Resort & Spa | Goa, India | TC_IN202 | India | 8/10/2025 | 8/5/2025 | Luxury Villa | 5 | Couple | Thomas Cook India | 4.9 | 5 | 5 | 5 | 5 | 5 | Paradise in Goa | Peaceful and luxurious stay. Exceptional food and staff. | English | Positive | Yes | We-re delighted to know you had a perfect Goan getaway! |
| TC003 | Hilton Hawaiian Village | Honolulu, USA | TC_US303 | USA | 7/8/2025 | 7/3/2025 | Oceanfront Room | 5 | Family | Expedia via Thomas Cook | 4.7 | 5 | 5 | 5 | 4 | 4 | Beautiful resort | Great beach, clean rooms, and friendly staff. | English | Positive | Yes | Mahalo for your kind feedback - hope to see you again in Hawaii! |
$118
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
125K
Formats: CSV, JSON, XLSX, API
Records:125K
Integrations: AWS S3, Google Cloud Storage, Azure
Enhance hospitality strategies with Hotel Data Intelligence by analyzing traveler sentiments, service ratings, and booking experiences from genuine guest reviews.
Extract real traveler insights with Thomas Cook Guest Review Scraping.
✈ Hotel Ratings
🛫 Guest Trends
💼 Service Reviews
🛬 Booking Insights
Leverage Hotel Data Scraping Services to track industry shifts.
🏨 Seasonal Trends
🛏 Luxury vs. Budget
📅 Guest Satisfaction
⭐ Service Quality
Utilize Web Scraping Thomas Cook Hotels Data for benchmarking.
🚗 Hotel Ratings
📍 Sentiment Trends
🚌 Competitor Analysis
Optimize strategies with Thomas Cook Feedback Dataset API.
📍 Custom Insights
⏰ Competitive Edge
💰 Data-Driven Plans
Tailored to your TripAdvisor Reviews data extraction needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:
Instantly access structured, high-quality public data from leading travel platforms at scale with the Thomas Cook Feedback Dataset API.
Gather sentiment insights on airfare price predictions.
Analyze user feedback on same-day hotel bookings.
Monitor live flight prices and airline trends.
Collect airline passenger sentiment on budget flights.
Let’s connect and explore how our data solutions can drive your business success with precision!