Hotel Reviews for AI, RAG & LLMs (Markdown)
Booking.com reviews as LLM-ready markdown for RAG and vector DBs - one self-contained block per review, plus score and stay context. Export JSON.
Booking.com Scraper - Hotels, Reviews, Prices & Availabilityfactden/booking-com-scraper
Markdown (LLM-ready)
Hotel name
Guest review score
Hotel ID
TextNumberBooleanListObject
Input
🔗 …or add Booking.com links:https://www.booking.com/hotel/fr/le-meurice.html
⭐ Include reviews:true
🔢 Max reviews per hotel:200
Output fields
Markdown (LLM-ready)
Hotel name
Guest review score
Hotel ID
Sign up on Apify01
Create your Apify account to access the Booking.com Scraper - Hotels, Reviews, Prices & Availability.
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.
