Agoda Reviews for LLM & RAG
Every review ships an LLM-ready markdown block. Feed Agoda guest reviews straight into a vector store or RAG pipeline.
Input
Output fields
Sign up on Apify or log in
The Agoda Hotel Reviews Scraper 🏨 Ratings, Text & Sentiment Actor is ready to run with the inputs already set for "Agoda 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 "Agoda Reviews for LLM & RAG" task
The Agoda Hotel 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 ids, 🔢 max reviews per hotel, and more, to match your specific use case.
Receive the "Agoda 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), score /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 "Agoda Reviews for LLM & RAG" task via API.
