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Traveloka Traveloka Reviews For Llm Rag
Scrape Traveloka reviews as LLM-ready markdown chunks for RAG. Each review is a self-contained block for vector databases.
Traveloka Hotel Reviews Scraper - Guest Ratings & Repliesfactden/traveloka-hotel-reviews-scraper
Markdown (LLM-ready)
Original text
Translated text
Rating
+3 fieldsTextNumberBooleanListObject
Input
🌐 Traveloka hotel or activity URLs(required):https://www.traveloka.com/en-en/hotel/indonesia/whiz-prime-balikpapan-3000010002155
🔢 Max reviews per listing:200
🔀 Sort order:mostRecent
🌟 Minimum rating (1 = worst, 10 = best):1
🌟 Maximum rating (1 = worst, 10 = best):10
Output fields
Markdown (LLM-ready)
Original text
Translated text
Rating
Trip type
Type
Source
Sign up on Apify01
Create your Apify account to access the Traveloka Hotel Reviews Scraper - Guest Ratings & Replies.
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.
