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.
Agoda Hotel Reviews Scraper 🏨 Ratings, Text & Sentimentfactden/agoda-hotel-reviews-scraper
Markdown (LLM-ready)
Score /10
Hotel name
Hotel ID
+1 fieldTextNumberBooleanListObject
Input
🏨 Hotel URLs or IDs(required):https://www.agoda.com/bayswater-inn-hotel/hotel/london-gb.html+1
🔢 Max reviews per hotel:100
↕️ Sort reviews by:newest
⭐ Minimum rating:1
⭐ Maximum rating:10
🏷️ Review sources:agoda
🗣️ Review languages
Output fields
Markdown (LLM-ready)
Score /10
Hotel name
Hotel ID
Review source
Sign up on Apify01
Create your Apify account to access the Agoda Hotel Reviews Scraper 🏨 Ratings, Text & Sentiment.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
