Find Content Ideas in RedNote Comments
Created by
Peng Lyu
Analyze one Xiaohongshu comment thread and turn recurring questions, concerns, scenarios, and evidence into ranked content opportunities.
RedNote Comment Scraper & Consumer Insightsscrupulous_buckler/xiaohongshu-comment-keyword-consumer-voice
Research topic
Primary decision
Comments analyzed
Notes represented
+20 fieldsTextNumberBooleanListObject
Input
Xiaohongshu / RedNote note URL(required):https://www.xiaohongshu.com/discovery/item/69db721a00000000220290a8
Topic or product label:Comment-driven content opportunities
Comments to analyze:100
Maximum separate upstream charge (USD):0.75
Ranked content opportunities:30
Output fields
Research topic
Primary decision
Comments analyzed
Notes represented
Reply comments analyzed
Matched keyword comments
Keyword signals
Top questions before purchase
Customer needs
Why buyers hesitate
Brand and product mentions
Competitor comparison evidence
Alternatives customers consider
Usage scenarios
Sentiment summary
Evidence-backed content ideas
Evidence coverage
Claim risk level
Risky claims
Safer framing
Collection summary
Price confirmation
What to do next
Data quality warnings
Sign up on Apify01
Create your Apify account to access the RedNote Comment Scraper & Consumer Insights.
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.
