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Chinese Hotel Reviews for AI & RAG (Qunar)
Created by
Factden
Get Qunar (去哪儿) hotel reviews as LLM-ready markdown for RAG and vector databases. Per-review chunks with ratings, sub-scores and sentiment.
Qunar Hotel Reviews Scraper - 去哪儿 Ratings & Reviewsfactden/qunar-hotel-reviews-scraper
Markdown (LLM-ready)
Original text
Title
Language
+4 fieldsTextNumberBooleanListObject
Input
🏨 Qunar hotel URLs:https://hotel.qunar.com/cn/nanjing/dt-17/
🆔 Hotel IDs (optional shortcut):nanjing_17
🔢 Max reviews per hotel:500
Output fields
Markdown (LLM-ready)
Original text
Title
Language
Rating
Travel type
Sentiment
Origin
Sign up on Apify01
Create your Apify account to access the Qunar Hotel Reviews Scraper - 去哪儿 Ratings & Reviews.
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.
