# Xhs Surfer > 小红书智能浏览器自动化工具，AI驱动的社区冲浪和互动。 支持自动搜索、浏览、点赞、评论、关注等操作。 当用户要求浏览小红书、搜索内容、自动互动时触发。 - Skill: `dvcrn/xhs-surfer` (Agent Skill) - Install (CLI): `npx skillmds@latest add dvcrn/xhs-surfer` - Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/xhs-surfer/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: dvcrn (https://skillmd.com/u/dvcrn) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/dvcrn/xhs-surfer --- # OpenClaw Skill XHS Surfer 作为 OpenClaw Skill 的完整使用指南。 --- ## 安装 ```bash # pip 安装 pip install xhs-surfer playwright install chromium # ClawHub 安装（即将支持） # clawhub install xhs-surfer ``` --- ## 快速开始 ### 在 OpenClaw Agent 中 ```python from openclaw import Agent agent = Agent() response = await agent.run("帮我在小红书上看看Python相关的内容") ``` ### 独立使用 ```python from xhs_surfer import CommunitySurferSkill skill = CommunitySurferSkill.create() result = await skill.run("浏览小红书上关于Python的帖子30分钟") ``` --- ## API ### `run(task)` - 自然语言 ```python await skill.run("看看小红书上关于健身的内容") await skill.run("浏览AI相关帖子20分钟") await skill.run("暂停") await skill.run("继续") ``` ### `execute(input)` - 结构化 #### 会话操作 ```python # 登录 await skill.execute({"action": "login", "method": "qr"}) await skill.execute({"action": "login", "method": "cookies", "cookies_file": "cookies.json"}) # 冲浪 await skill.execute({ "action": "surf", "topic": "Python编程", "duration_minutes": 30 }) # 营销冲浪（更高互动率） await skill.execute({ "action": "marketing_surf", "topic": "健身减脂", "like_probability": 0.5, "comment_probability": 0.3 }) # 停止 await skill.execute({"action": "stop"}) ``` #### 实时命令（会话运行期间） ```python # 搜索 await skill.execute({"action": "search", "keyword": "AI教程"}) # 跳过当前帖子 await skill.execute({"action": "skip"}) # 返回首页 await skill.execute({"action": "go_home"}) # 暂停/恢复 await skill.execute({"action": "pause"}) await skill.execute({"action": "resume"}) # 点赞/评论/关注当前帖子 await skill.execute({"action": "like_current"}) await skill.execute({"action": "comment_current", "content": "很棒的分享！"}) await skill.execute({"action": "follow_current"}) # 查看私信 await skill.execute({"action": "check_messages"}) # 获取状态 await skill.execute({"action": "get_status"}) ``` --- ## Actions 完整列表 ### 会话操作 | Action | 说明 | 参数 | |--------|------|------| | `login` | 登录小红书 | `method`: qr/cookies, `timeout`, `cookies_file` | | `surf` | 执行冲浪会话 | `topic`, `duration_minutes`, `view_speed` | | `marketing_surf` | 营销导向冲浪 | `topic`, `duration_minutes`, `like_probability`, `comment_probability` | | `stop` | 停止会话 | - | ### 实时命令 | Action | 说明 | 参数 | |--------|------|------| | `search` | 搜索新关键词 | `keyword` | | `skip` | 跳过当前帖子 | - | | `go_home` | 返回首页 | - | | `pause` | 暂停会话 | - | | `resume` | 恢复会话 | - | | `like_current` | 点赞当前帖子 | - | | `comment_current` | 评论当前帖子 | `content` | | `follow_current` | 关注当前作者 | - | | `check_messages` | 查看私信 | - | | `get_status` | 获取会话状态 | - | --- ## 配置 ### 创建时配置 ```python skill = CommunitySurferSkill.create( # 浏览器 headless=False, proxy="http://127.0.0.1:7890", # 行为 view_speed=1.0, # 0.5=快, 1.0=正常, 2.0=慢 like_probability=0.4, # 点赞概率 comment_probability=0.2, # 评论概率 follow_probability=0.1, # 关注概率 # 安全 max_likes_per_hour=20, max_comments_per_hour=8, ) ``` ### 完整配置 ```python skill = CommunitySurferSkill(config={ # 浏览器配置 "browser": { "headless": False, "slow_mo": 50, # 动作间延迟(ms) "viewport": {"width": 1280, "height": 720}, "proxy": "http://127.0.0.1:7890", "timeout": 30000, }, # 行为配置 "behavior": { "view_speed": 1.0, # 浏览速度倍数 "min_action_delay": 1.0, # 最小动作间隔(秒) "max_action_delay": 5.0, # 最大动作间隔(秒) "like_probability": 0.4, # 点赞概率 "comment_probability": 0.2, # 评论概率 "follow_probability": 0.1, # 关注概率 "scroll_probability": 0.8, # 滚动概率 }, # 安全配置 "safety": { "max_likes_per_hour": 20, "max_comments_per_hour": 8, "max_follows_per_hour": 15, "max_likes_per_day": 150, "max_comments_per_day": 50, "auto_stop_on_warning": True, "auto_stop_on_captcha": True, "avoid_late_night": True, # 避免深夜操作 }, # 营销配置 "marketing": { "enabled": True, "target_keywords": ["健身", "减脂"], "comment_templates": ["写得好！", "学习了！"], }, # LLM 配置 "llm": { "provider": "qwen", "model": "qwen-turbo", "api_key": "sk-xxx", } }) ``` ### 环境变量 ```bash # Agent LLM（决策） export OPENCLAW_LLM_PROVIDER=openai export OPENAI_API_KEY=sk-xxx # Skill LLM（评论生成） export LLM_PROVIDER=qwen export QWEN_API_KEY=sk-xxx ``` --- ## 返回值 ```python # 成功 { "success": True, "action": "surf", "message": "Surfing session completed", "state": "completed", "session_id": "session_20240101_120000_abc123", "summary": { "posts_viewed": 15, "likes_given": 6, "comments_made": 3, "follows_made": 1, } } # 失败 { "success": False, "action": "surf", "error": "错误信息", "state": "failed" } ``` --- ## 完整示例 ### OpenClaw Agent ```python import asyncio from openclaw import Agent async def main(): agent = Agent() response = await agent.run("帮我在小红书上找找Python教程") print(response) asyncio.run(main()) ``` ### 独立使用 - 基础 ```python import asyncio from xhs_surfer import CommunitySurferSkill async def main(): skill = CommunitySurferSkill.create() result = await skill.run("浏览小红书上关于AI的内容15分钟") print(result) asyncio.run(main()) ``` ### 独立使用 - 完整配置 ```python import asyncio from xhs_surfer import CommunitySurferSkill async def main(): # 创建带配置的 Skill skill = CommunitySurferSkill.create( headless=True, view_speed=1.5, like_probability=0.5, comment_probability=0.3, ) # 登录 result = await skill.execute({"action": "login", "method": "qr"}) if not result["success"]: print("登录失败") return # 冲浪 result = await skill.execute({ "action": "surf", "topic": "Python编程", "duration_minutes": 30 }) print(f"浏览: {result['summary']['posts_viewed']}") print(f"点赞: {result['summary']['likes_given']}") print(f"评论: {result['summary']['comments_made']}") asyncio.run(main()) ``` ### 实时控制示例 ```python import asyncio from xhs_surfer import CommunitySurferSkill async def main(): skill = CommunitySurferSkill.create() # 启动会话（后台运行） # ... 实际使用中需要异步执行 # 发送实时命令 await skill.execute({"action": "search", "keyword": "AI教程"}) await skill.execute({"action": "pause"}) await skill.execute({"action": "like_current"}) await skill.execute({"action": "resume"}) # 获取状态 status = await skill.execute({"action": "get_status"}) print(status) asyncio.run(main()) ``` --- ## 发布 ### 发布到 PyPI ```bash python -m build twine upload dist/xhs_surfer-1.0.0.tar.gz ``` ### 发布到 ClawHub（即将支持） ```bash clawhub publish dist/xhs_surfer-1.0.0.tar.gz ``` --- ## License MPL-2.0