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Hotels.com Reviews for AI & RAG (Markdown)

Export Hotels.com guest reviews as LLM-ready markdown for RAG and AI pipelines: self-contained per-review blocks, zero setup.

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Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentiment
Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentimentfactden/hotels-com-reviews-scraper
Markdown (LLM-ready)
Rating /10
Hotel name
Hotel ID
+1 field
Text
Number
Boolean
List
Object

Input

🏨 Hotel URLs or property IDs(required):https://www.hotels.com/ho141417/the-peninsula-new-york-new-york-united-states-of-america/
🔢 Max reviews per hotel:500

Output fields

Markdown (LLM-ready)
Rating /10
Hotel name
Hotel ID
Source

How it works

Sign up on Apify or log in

The Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentiment Actor is ready to run with the inputs already set for "Hotels.com Reviews for AI & RAG (Markdown)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Hotels.com Reviews for AI & RAG (Markdown)" task

The Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentiment Actor will start running based on the input automatically. You can also change all the input fields, like 🏨 hotel urls or property ids and 🔢 max reviews per hotel, to match your specific use case.

Receive the "Hotels.com Reviews for AI & RAG (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), rating /10, hotel name, 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 "Hotels.com Reviews for AI & RAG (Markdown)" task via API.

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