Hotels.com Reviews Dataset for LLM Training
Collect Hotels.com guest reviews as clean, LLM-ready markdown for fine-tuning and training corpora: one self-contained block per review.
Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentimentfactden/hotels-com-reviews-scraper
Markdown (LLM-ready)
Rating /10
Hotel name
Hotel ID
+1 fieldTextNumberBooleanListObject
Input
🏨 Hotel URLs or property IDs(required):https://www.hotels.com/ho150387/millennium-hotel-broadway-times-square-new-york-united-states-of-america/
🔢 Max reviews per hotel:500
Output fields
Markdown (LLM-ready)
Rating /10
Hotel name
Hotel ID
Source
Sign up on Apify01
Create your Apify account to access the Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentiment.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
