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TripAdvisor Reviews for LLM & RAG

Every review ships an LLM-ready markdownContent field. Feed TripAdvisor reviews straight into a vector store or RAG pipeline.

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TripAdvisor Hotel Reviews API
TripAdvisor Hotel Reviews APIfactden/tripadvisor-hotel-reviews-api
Markdown (LLM-ready)
Place
Rating
Published
+1 field
Text
Number
Boolean
List
Object

Input

🔗 TripAdvisor URLs
url:https://www.tripadvisor.com/Hotel_Review-g187497-d1465497-Reviews-W_Barcelona-Barcelona_Catalonia.html
🔢 Max reviews per place:200
🗣️ Review languages:all
⭐ Minimum rating:1
⭐ Maximum rating:5

Output fields

Markdown (LLM-ready)
Place
Rating
Published
URL

How it works

Sign up on Apify or log in

The TripAdvisor Hotel Reviews API Actor is ready to run with the inputs already set for "TripAdvisor Reviews for LLM & RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "TripAdvisor Reviews for LLM & RAG" task

The TripAdvisor Hotel Reviews API Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 tripadvisor urls, 🔢 max reviews per place, and more, to match your specific use case.

Receive the "TripAdvisor Reviews for LLM & RAG" 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), place, rating, 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 "TripAdvisor Reviews for LLM & RAG" task via API.

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