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Xiaohongshu Insight

by @openlark

Provides daily insights from 2000+ Xiaohongshu viral posts to support content creation, trend analysis, and creative inspiration based on engagement data.

⚑ When to Use

Use when users mention Xiaohongshu viral posts, post data, traffic trends, creative inspiration, low-follower viral posts, interaction spikes, etc.

πŸ’‘ Examples

Query Viral Posts

Use scripts/query_notes.py to query viral post data:

python scripts/query_notes.py --category Beauty --days 7 --limit 50

Parameter descriptions:

  • --category: Category (Beauty/Fashion/Food/Travel/Home/Parenting/Career/Emotions/Knowledge/Entertainment)
  • --days: Number of days to query (default 7 days)
  • --limit: Number of results to return (default 20)
  • --sort: Sort field (engagement/growth/fans)
  • --min_engagement: Minimum interaction threshold
  • Analyze Trend Features

    Use scripts/analyze_trends.py to analyze category trends:

    python scripts/analyze_trends.py --category Fashion --output report.md
    

    Output includes:

  • TOP 20 Trending Keywords
  • High-Frequency Cover Styles
  • Optimal Publishing Time Windows
  • Viral Title Formulas
  • Engagement Rate Distribution
  • Export Data

    Use scripts/export_data.py to export data:

    python scripts/export_data.py --format xlsx --output viral_data.xlsx
    

    Supported formats: xlsx, csv, json

    πŸ“‹ Tips & Best Practices

    1. Data is sourced from publicly available posts and is for creative reference only 2. It is recommended to selectively draw inspiration based on your own account positioning 3. Avoid directly copying content; focus on creative transformation 4. Data is updated daily; pay attention to timeliness

    View on ClawHub
    TERMINAL
    clawhub install xiaohongshu-insight

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