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Expedia Hotel Reviews for AI & RAG (Markdown)

Export Expedia guest reviews as LLM-ready markdown for RAG, fine-tuning and sentiment pipelines: self-contained per-review blocks, zero setup.

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Expedia Reviews Scraper โœˆ๏ธ Hotel Ratings, Text & Sentiment
Expedia Reviews Scraper โœˆ๏ธ Hotel Ratings, Text & Sentimentfactden/expedia-hotel-reviews-scraper
Markdown (LLM-ready)
Rating /10
Hotel name
Hotel ID
+1 field
Text
Number
Boolean
List
Object

Input

๐Ÿจ Hotel URLs or property IDs:https://www.expedia.com/New-York-Hotels-New-York-Marriott-Marquis.h15838.Hotel-Information
๐Ÿ”ข 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 Expedia Reviews Scraper โœˆ๏ธ Hotel Ratings, Text & Sentiment Actor is ready to run with the inputs already set for "Expedia Hotel 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 "Expedia Hotel Reviews for AI & RAG (Markdown)" task

The Expedia Reviews Scraper โœˆ๏ธ Hotel Ratings, Text & Sentiment Actor will start running based on the input automatically. You can also change all the input fields, like ๐Ÿจ hotel urls or property ids and ๐Ÿ”ข max reviews per hotel, to match your specific use case.

Receive the "Expedia Hotel 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 "Expedia Hotel Reviews for AI & RAG (Markdown)" task via API.

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