小红书智能回复助手 / Xiaohongshu Reply Assistant

Intelligent comment analysis and reply suggestion generator for Xiaohongshu (Little Red Book).

Features

• 🧠 Smart Analysis: Automatically identify sentiment (positive/negative/neutral) and intent
• 💡 Reply Suggestions: Generate 3 personalized reply suggestions for each comment
• 📊 Batch Processing: Process multiple comments at once
• 🔄 History Management: Avoid duplicate processing
• 🔌 API Integration: Optional connection to real Xiaohongshu API
• 📝 Customizable Templates: Configure your own reply templates

Quick Start

Option 1: Quick Analysis (No Setup Required)

from reply_assistant import quick_analyze

result = quick_analyze(
    comment_text="这个地方真好看！想去打卡！",
    username="小美", 
    likes=15
)

print(f"Sentiment: {result['sentiment']}")  # 正面
print(f"Intent: {result['intent']}")        # 热门评论
print("Suggestions:")
for reply in result['reply_suggestions']:
    print(f"  - {reply}")

Output:

Sentiment: 正面
Intent: 热门评论
Suggestions:
  - @小美 谢谢您的喜欢！😊 欢迎常来互动~
  - @小美 感谢您的支持！会继续分享好内容的💪
  - @小美 太开心收到您的认可！有什么想看的可以告诉我~

Option 2: Command Line Tool

# Analyze single comment
python3 scripts/xhs_reply_cli.py analyze \
  -t "门票多少钱？周末去人多吗？" \
  -u 旅行者

# Batch process from file
python3 scripts/xhs_reply_cli.py batch \
  -i comments.txt \
  -o report.txt

# View/edit configuration
python3 scripts/xhs_reply_cli.py config --show

Option 3: Full Integration with Xiaohongshu API

Requires xiaohongshu skill or similar API access.

import asyncio
from xhs_api_integration import XHSApiIntegration

async def monitor():
    integration = XHSApiIntegration(
        proxy=None,  # or "http://127.0.0.1:7890"
        web_session=None  # add your session cookie if needed
    )
    
    await integration.init_session()
    
    result = await integration.monitor_note(
        note_id="your_note_id",
        xsec_token="your_xsec_token",
        note_title="My Note"
    )
    
    report = integration.assistant.generate_report(result, "My Note")
    print(report)
    
    await integration.close()

asyncio.run(monitor())

Installation

# Install dependencies
pip3 install aiohttp loguru pycryptodome getuseragent

# Or use the install script
chmod +x install.sh
./install.sh

Comment Analysis Categories

Sentiment Detection

• Positive (正面): Contains words like 喜欢, 好看, 棒, 赞, 美, 不错
• Negative (负面): Contains words like 不好, 差, 失望, 坑, 避雷
• Neutral (中性): Other comments

Intent Recognition

Configuration

Config file location: ~/.xhs_reply_assistant/config.json

{
  "settings": {
    "max_suggestions": 3,
    "check_interval_minutes": 30
  },
  "reply_templates": {
    "正面反馈": [
      "@{user} 谢谢您的喜欢！😊 欢迎常来互动~",
      "@{user} 感谢您的支持！会继续分享好内容的💪"
    ],
    "负面反馈": [
      "@{user} 感谢您的反馈，我们会认真改进的！",
      "@{user} 抱歉给您带来不好的体验，能否私信详细说说？"
    ],
    "价格咨询": [
      "@{user} 关于价格问题，建议您查看置顶评论或私信了解详情哦~",
      "@{user} 价格会根据不同情况有所调整，欢迎私信咨询最新优惠！"
    ]
  }
}

Template Variables:

• {user}: Commenter's username
• {answer}: Custom answer text
• {location}: Location information
• {transportation}: Transportation instructions

File Structure

Xiaohongshu Reply Assistant/
├── scripts/
│   ├── reply_assistant.py       # Core module (standalone)
│   ├── xhs_reply_cli.py         # CLI tool
│   └── xhs_api_integration.py   # API integration (optional)
├── examples/
│   ├── example_config.json      # Config example
│   └── example_usage.py         # Usage examples
├── install.sh                   # Installation script
└── README.md                    # Full documentation

Data Storage

All data stored in ~/.xhs_reply_assistant/:

• config.json - User configuration
• history.json - Processed comment IDs

Use Cases

1. Content Creators: Efficiently manage fan comments and improve engagement quality
2. Brand Operations: Monitor brand-related content and respond to user feedback promptly
3. MCN Agencies: Batch manage comment replies across multiple accounts
4. Data Analysis: Collect user feedback to optimize content strategy

Notes

• ⚠️ Privacy: Do not leak users' personal information
• ⚠️ Rate Limiting: Check every 30 minutes to avoid triggering anti-bot measures
• ⚠️ Manual Review: Auto-generated suggestions are for reference only; review before sending
• ⚠️ Compliance: Follow Xiaohongshu platform rules and relevant laws

Requirements

• Python 3.8+
• Dependencies: aiohttp, loguru, pycryptodome, getuseragent
• Optional: xiaohongshu-mcp server for real API access

License

MIT License

Author

小流转 (Xiaoliuzhuan)