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Hotel Data for AI, RAG & LLMs (Markdown)

Booking.com hotels as LLM-ready markdown for RAG and vector DBs - one self-contained block per hotel with price, score and rooms. Export JSON.

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Booking.com Scraper - Hotels, Reviews, Prices & Availability
Booking.com Scraper - Hotels, Reviews, Prices & Availabilityfactden/booking-com-scraper
Markdown (LLM-ready)
Hotel name
Guest review score
Hotel ID
Text
Number
Boolean
List
Object

Input

📍 Discover hotels in a place:Paris
💵 Include prices & occupancy:true
🔢 Max hotels per destination:25

Output fields

Markdown (LLM-ready)
Hotel name
Guest review score
Hotel ID

How it works

Sign up on Apify or log in

The Booking.com Scraper - Hotels, Reviews, Prices & Availability Actor is ready to run with the inputs already set for "Hotel Data for AI, RAG & LLMs (Markdown)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Hotel Data for AI, RAG & LLMs (Markdown)" task

The Booking.com Scraper - Hotels, Reviews, Prices & Availability Actor will start running based on the input automatically. You can also change all the input fields, like 📍 discover hotels in a place, 💵 include prices & occupancy, and more, to match your specific use case.

Receive the "Hotel Data for AI, RAG & LLMs (Markdown)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as markdown (llm-ready), hotel name, guest review score, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Hotel Data for AI, RAG & LLMs (Markdown)" task via API.

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