小红书技能:自动化小红书内容与互动 - Openclaw Skills

作者:互联网

2026-04-05

AI教程

什么是 小红书(Rednote)自动化技能?

小红书技能是为 Openclaw Skills 生态系统设计的专门集成,提供了通往小红书社交平台的程序化桥梁。通过利用 Python 和 Playwright,此技能允许用户执行通常需要手动浏览的复杂交互,例如搜索特定关键词、将笔记数据抓取为结构化 Markdown 以及管理账号互动。

该工具对于需要保持在小红书上的存在感或收集情报的 Openclaw Skills 创作者和开发者至关重要。它处理浏览器状态管理和身份验证的复杂性,确保在受控环境中可靠地执行发布笔记或关注用户等自动化操作。

下载入口:https://github.com/openclaw/skills/tree/main/skills/mrmao007/rednote-skills

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

npx clawhub@latest install rednote-skills

2. 手动安装

将技能文件夹复制到以下位置之一

全局模式 ~/.openclaw/skills/ 工作区 /skills/

优先级:工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

请帮我使用 Clawhub 安装 rednote-skills。如果尚未安装 Clawhub,请先安装(npm i -g clawhub)。

小红书(Rednote)自动化技能 应用场景

  • 通过搜索趋势关键词并提取表现最佳的帖子数据来进行自动化市场研究。
  • 通过程序化发布带有多个图片、标题和标签的笔记来简化内容分发。
  • 通过自动点赞、评论和粉丝增长策略提升社区参与度。
  • 使用结构化 Markdown 提取将高质量社交内容存档到本地知识库中。
小红书(Rednote)自动化技能 工作原理
  1. 技能开始时通过专门的 Cookie 检查脚本验证当前登录状态。
  2. 如果未发现有效会话,它会触发手动登录界面以获取并保护身份验证令牌。
  3. 执行搜索脚本,根据输入参数识别特定的笔记 URL 或用户资料。
  4. 对于内容提取,该技能导航到目标 URL 并解析 DOM 以生成格式化的 Markdown 文件。
  5. 交互脚本(点赞、评论、关注)使用浏览器自动化在平台上模拟类似人类的参与。

小红书(Rednote)自动化技能 配置指南

前提条件

  • Python 3.7 或更高版本
  • Playwright 库

安装

# 安装所需依赖
pip install playwright

# 安装浏览器驱动
playwright install

# 执行初始手动登录以保存 cookie
python scripts/manual_login.py

# 验证您的连接
python scripts/validate_cookies.py

小红书(Rednote)自动化技能 数据架构与分类体系

Openclaw Skills 框架中的小红书技能将数据组织为两个主要类别:会话管理和内容提取。

数据组织

数据类型 存储格式 描述
身份验证 rednote_cookies.json 安全存储会话令牌和浏览器状态
提取的笔记 Markdown (.md) 包含作者、标题、媒体 URL 和标签的结构化文本
搜索结果 控制台/列表 符合搜索条件的已验证笔记 URL 集合
交互日志 标准输出 互动操作的成功/失败状态
name: rednote-skill
description: Comprehensive tool for interacting with rednote (xiaohongshu,小红书) platform. This skill enables users to search for posts by keyword, extract content from specific notes in markdown format, and perform interaction actions like liking, commenting, collecting, following, and publishing. Use this when users need to engage with content from xiaohongshu.com.

Rednote Skill

This skill allows you to fully interact with the Xiaohongshu (Little Red Book) platform. You can search for posts by keyword and return results, extract content from specific notes to structured markdown format, and perform engagement actions like liking, commenting, collecting, following users, and more.

Configuration and Preparation

Requirements

  • Python 3.7+
  • Playwright (install with pip install playwright)
  • Playwright drivers (install with playwright install)
  • Configured browser environment

Always DO FIRST

Before using this skill, the system will verify your login status:

python scripts/validate_cookies.py

If the output is True, you have normal access and can proceed with search operations.

If the output is False or the login button is visible, the system will automatically execute the manual login procedure:

python scripts/manual_login.py

The system will launch the login interface in a browser window. You'll need to follow the instructions in the opened browser to complete the login process manually, then close the browser after completion.

Usage Steps

1. Environment Setup

Before using this skill, ensure that:

  1. The required dependencies are installed (Python 3.7+, Playwright)
  2. The system will automatically handle the cookie saving via the manual login process when needed
  3. Login status will be validated automatically using the validation utility

2. Using Search Functions

The skill provides several search and extraction functions:

  • Search Notes by Keyword: python scripts/search_note_by_key_word.py [--top_n TOP_N]
  • Extract Note Content: python scripts/dump_note.py

3. Using Interaction Functions

The skill provides several interaction functions:

  • Like Note: python scripts/like_note.py
  • Collect Note: python scripts/collect_note.py
  • Comment on Note: python scripts/comment_note.py
  • Follow User: python scripts/follow_user.py
  • Publish Note: python scripts/publish_note.py --image-urls --title --content <CONTENT> --tags <TAG1 [TAG2 ...]></CODE></LI> <LI><STRONG>Validate Login</STRONG>: <CODE>python scripts/validate_cookies.py</CODE></LI> <LI><STRONG>Manual Login</STRONG>: <CODE>python scripts/manual_login.py</CODE></LI></UL> <H3 id=4-complete-workflow>4. Complete Workflow</H3> <OL> <LI>Validate login status before starting interactions</LI> <LI>Execute desired search functions if you need to find specific notes</LI> <LI>Execute desired interaction functions with proper arguments</LI> <LI>Monitor results for successful completion</LI></OL> <H2 id=function-descriptions>Function Descriptions</H2> <P>This skill provides the following functions for searching content on and interacting with the Xiaohongshu platform:</P> <H3 id=search-notes-search_note_by_key_wordpy>Search Notes (<CODE>search_note_by_key_word.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Searches for Xiaohongshu notes using the provided keyword.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>keyword</CODE> (string): The keyword to search for</LI> <LI><CODE>--top_n</CODE> (integer, optional): Number of return notes (default is 5)</LI></UL> <P><STRONG>Returns</STRONG>: List of note URLs that match the keyword</P> <P><STRONG>Behavior</STRONG>: Launches browser, searches for the keyword on Xiaohongshu, returns matching note URLs.</P> <H3 id=extract-note-content-dump_notepy>Extract Note Content (<CODE>dump_note.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Extracts specific note content and converts to formatted markdown.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>note_url</CODE> (string): The URL of the note to extract content from</LI></UL> <P><STRONG>Returns</STRONG>: Structured markdown content including author, title, media, description, tags, and interaction data</P> <P><STRONG>Behavior</STRONG>: Launches browser, accesses the note, extracts content and formats to markdown.</P> <H3 id=like-note-like_notepy>Like Note (<CODE>like_note.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Likes a specific note on Xiaohongshu using the note URL.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>note_url</CODE> (string): The URL of the note to like</LI></UL> <P><STRONG>Returns</STRONG>: Success or error message indicating if the like was successful</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to the note URL, clicks the like button, then closes the browser.</P> <H3 id=collect-note-collect_notepy>Collect Note (<CODE>collect_note.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Collects (saves) a specific note to the user's collection.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>note_url</CODE> (string): The URL of the note to collect</LI></UL> <P><STRONG>Returns</STRONG>: Success or error message indicating if the collection was successful</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to the note URL, clicks the collect button, then closes the browser.</P> <H3 id=comment-on-note-comment_notepy>Comment on Note (<CODE>comment_note.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Adds a comment to a specific note on Xiaohongshu.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>note_url</CODE> (string): The URL of the note to comment on</LI> <LI><CODE>comment_text</CODE> (string): The text content of the comment</LI></UL> <P><STRONG>Returns</STRONG>: Success or error message indicating if the comment was published</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to the note URL, fills in the comment text, clicks the send button, then closes the browser.</P> <H3 id=follow-user-follow_userpy>Follow User (<CODE>follow_user.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Follows the user who created a specific note by visiting a note URL.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>note_url</CODE> (string): The URL of a note by the user to follow</LI></UL> <P><STRONG>Returns</STRONG>: Success or error message indicating if the follow action was successful</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to the note URL, clicks the follow button if available, then closes the browser.</P> <H3 id=validate-login-status-validate_cookiespy>Validate Login Status (<CODE>validate_cookies.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Checks if the saved authentication tokens are valid and the user is logged in to Xiaohongshu.</P> <P><STRONG>Parameters</STRONG>: None</P> <P><STRONG>Returns</STRONG>: Boolean value indicating whether login is successful</P> <P><STRONG>Behavior</STRONG>: Launches browser, accesses Xiaohongshu homepage with stored credentials, checks for login state.</P> <H3 id=manual-login-manual_loginpy>Manual Login (<CODE>manual_login.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Assists in creating valid authentication cookies by opening the login interface.</P> <P><STRONG>Parameters</STRONG>: None</P> <P><STRONG>Returns</STRONG>: Success or error message after cookies are saved</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to Xiaohongshu, allows user to log in manually, then saves cookies to storage file.</P> <H3 id=publish-note-publish_notepy>Publish Note (<CODE>publish_note.py</CODE>)</H3> <P><STRONG>Purpose</STRONG>: Publishes a new image-text note to the user's Xiaohongshu account with provided content, images, and tags.</P> <P><STRONG>Parameters</STRONG>:</P> <UL> <LI><CODE>--image-urls IMG1 [IMG2 ...]</CODE>: Paths to one or more image files to upload with the note (required)</LI> <LI><CODE>--title TITLE</CODE>: The title for the new note (required)</LI> <LI><CODE>--content CONTENT</CODE>: The main content text for the new note (required)</LI> <LI><CODE>--tags TAG1 [TAG2 ...]</CODE>: One or more tags to attach to the note (required)</LI></UL> <P><STRONG>Returns</STRONG>: Success or error message indicating if the note was published successfully</P> <P><STRONG>Behavior</STRONG>: Launches browser, navigates to the Xiaohongshu publish page, fills in the note title, content, tags and uploads provided images, then clicks the publish button.</P> <H2 id=examples>Examples</H2> <H3 id=basic-search-and-content-extraction>Basic Search and Content Extraction</H3><PRE><CODE># Validate login status python scripts/validate_cookies.py # Search for notes about "旅行攻略" python scripts/search_note_by_key_word.py "旅行攻略" --top_n 3 # Extract content from a specific note python scripts/dump_note.py "https://www.xiaohongshu.com/explore/some-note-id" </CODE></PRE> <H3 id=basic-liking-and-collecting>Basic Liking and Collecting</H3><PRE><CODE># Like a specific note python scripts/like_note.py "https://www.xiaohongshu.com/explore/some-note-id" # Collect a specific note python scripts/collect_note.py "https://www.xiaohongshu.com/explore/some-note-id" </CODE></PRE> <H3 id=commenting-on-a-note>Commenting on a Note</H3><PRE><CODE># Add a comment to a specific note python scripts/comment_note.py "https://www.xiaohongshu.com/explore/some-note-id" "Beautiful content! Thanks for sharing." </CODE></PRE> <H3 id=following-a-user>Following a User</H3><PRE><CODE># Follow a user based on one of their posts python scripts/follow_user.py "https://www.xiaohongshu.com/explore/some-note-by-user-id" </CODE></PRE> <H3 id=publishing-a-note>Publishing a Note</H3><PRE><CODE># Publish a new note with images, title, content, and tags python scripts/publish_note.py r --image-urls "/path/to/img1.jpg" "/path/to/img2.jpg" r --title "My New Post" r --content "Check out this amazing discovery!" r --tags "travel" "food" "lifestyle" </CODE></PRE> <H3 id=complete-user-session>Complete User Session</H3><PRE><CODE># 1. Validate login python scripts/validate_cookies.py # 2. Search for interesting content python scripts/search_note_by_key_word.py "美食推荐" --top_n 5 # 3. Extract detailed content from a note python scripts/dump_note.py "https://www.xiaohongshu.com/explore/note1" # 4. Like interesting content python scripts/like_note.py "https://www.xiaohongshu.com/explore/note1" # 5. Collect useful content python scripts/collect_note.py "https://www.xiaohongshu.com/explore/note2" # 6. Engage with community python scripts/comment_note.py "https://www.xiaohongshu.com/explore/note3" "Awesome tutorial!" # 7. Follow good content creators python scripts/follow_user.py "https://www.xiaohongshu.com/explore/note-by-creator" </CODE></PRE> <H2 id=implementation-guidelines>Implementation Guidelines</H2> <H3 id=best-practices>Best Practices</H3> <OL> <LI> <P><STRONG>Validate Login First</STRONG>: Login status will be automatically checked using <CODE>validate_cookies.py</CODE> before performing any interactions to ensure smooth operations.</P></LI> <LI> <P><STRONG>Rate Limiting</STRONG>: To avoid account restrictions, implement appropriate delays between consecutive interactions. Avoid excessive rapid interactions.</P></LI> <LI> <P><STRONG>Error Handling</STRONG>: Check the return values from the functions to ensure operations were successful before proceeding to the next action.</P></LI> <LI> <P><STRONG>User Intent</STRONG>: Only engage with content that matches user interest and preferences. The skill should complement user decisions.</P></LI> <LI> <P><STRONG>Browser State Management</STRONG>: The scripts manage browser opening and closing, so ensure system resources are available for these operations.</P></LI></OL> <H3 id=integration-considerations>Integration Considerations</H3> <OL> <LI> <P><STRONG>Session Management</STRONG>: The skill maintains session state through cookies stored in <CODE>rednote_cookies.json</CODE>. Ensure this file is properly secured.</P></LI> <LI> <P><STRONG>Browser Automation</STRONG>: The skill uses headless browsers for automation. Ensure the system has a compatible browser environment set up.</P></LI> <LI> <P><STRONG>URL Format</STRONG>: The scripts expect properly formatted Xiaohongshu URLs. Ensure URLs are valid before passing to functions.</P></LI> <LI> <P><STRONG>Content Appropriateness</STRONG>: Integrate this skill in a way that ensures interactions are appropriate and align with platform terms of service.</P></LI></OL> <H2 id=configuration-and-preparation-1>Configuration and Preparation</H2> <H3 id=advanced-setup>Advanced Setup</H3> <H4 id=cookie-management>Cookie Management</H4> <UL> <LI>The skill stores authentication data in <CODE>rednote_cookies.json</CODE></LI> <LI>This file is created automatically during the manual login process</LI> <LI>For security, protect this cookie file from unauthorized access</LI></UL> <H4 id=environment-variables>Environment Variables</H4> <UL> <LI>No specific environment variables are required</LI> <LI>The skill uses the default configuration files in the scripts directory</LI></UL> <H3 id=prerequisites-verification>Prerequisites Verification</H3> <P>Before using the rednote skill, verify:</P> <OL> <LI> <P><STRONG>System Setup</STRONG>:</P> <UL> <LI>Python 3.7 or above</LI> <LI>Playwright installed (<CODE>pip install playwright</CODE>)</LI> <LI>Browser drivers installed (<CODE>playwright install</CODE>)</LI> <LI>Minimum available disk space for browser operation</LI></UL></LI> <LI> <P><STRONG>Xiaohongshu Access</STRONG>:</P> <UL> <LI>Ability to access Xiaohongshu.com from your network</LI> <LI>Compliance with Xiaohongshu's terms of service</LI> <LI>Valid Xiaohongshu account credentials</LI></UL></LI> <LI> <P><STRONG>Security Setup</STRONG>:</P> <UL> <LI>The system will handle automatic login when needed</LI> <LI>Login status will be confirmed via validation script</LI> <LI>Secured storage for authentication tokens</LI></UL></LI></OL> <H2 id=troubleshooting>Troubleshooting</H2> <H3 id=common-issues>Common Issues</H3> <H4 id=login-error-?-未找到-cookies-文件,请先登录小红书并保存-cookies>Login Error (<CODE>? 未找到 cookies 文件,请先登录小红书并保存 cookies</CODE>)</H4> <P><STRONG>Cause</STRONG>: The <CODE>rednote_cookies.json</CODE> file doesn't exist or is not in the correct location. <STRONG>Solution</STRONG>: The system will automatically execute <CODE>python scripts/manual_login.py</CODE> to perform manual login and save cookies. The user just needs to complete the login process in the opened browser window.</P> <H4 id=login-session-expired-?-未登录小红书,请先登录>Login Session Expired (<CODE>? 未登录小红书,请先登录</CODE>)</H4> <P><STRONG>Cause</STRONG>: Authentication tokens have expired or are invalid. <STRONG>Solution</STRONG>: The system will re-verify login status and may execute <CODE>python scripts/manual_login.py</CODE> again to refresh tokens. The user just needs to complete the login process in the opened browser window if prompted.</P> <H4 id=page-navigation-issues>Page Navigation Issues</H4> <P><STRONG>Cause</STRONG>: Network connectivity issues or URL format errors. <STRONG>Solution</STRONG>: Verify URL format is correct, ensure internet connection is stable, and check if Xiaohongshu is accessible.</P> <H4 id=element-not-found-during-interaction>Element Not Found During Interaction</H4> <P><STRONG>Cause</STRONG>: Xiaohongshu's UI might have changed or the page hasn't loaded completely. <STRONG>Solution</STRONG>: Retry the operation; if the issue persists, check for interface changes or wait before trying again.</P> <H3 id=debugging-steps>Debugging Steps</H3> <OL> <LI><STRONG>Verify Prerequisites</STRONG>: Ensure all requirements are installed and accessible</LI> <LI><STRONG>Check Login Status</STRONG>: Run the validation script before operations</LI> <LI><STRONG>Review URL Format</STRONG>: Ensure URLs are properly formatted Xiaohongshu links</LI> <LI><STRONG>Monitor Browser Behavior</STRONG>: Use non-headless mode to observe the automation process</LI> <LI><STRONG>Check Storage Files</STRONG>: Verify cookies file exists and is accessible</LI></OL> <H3 id=performance-considerations>Performance Considerations</H3> <UL> <LI>Browser automation is resource-intensive; ensure system has sufficient memory and CPU</LI> <LI>Network latency may affect operation timing; consider adding delays between operations</LI> <LI>Run validation scripts periodically to confirm stable authentication</LI></UL> <H2 id=limitations-and-considerations>Limitations and Considerations</H2> <H3 id=platform-limitations>Platform Limitations</H3> <UL> <LI><STRONG>Terms of Service</STRONG>: This skill must be used in compliance with Xiaohongshu's terms of service and community guidelines</LI> <LI><STRONG>Rate Limiting</STRONG>: Xiaohongshu may impose limits on the number of interactions per time period</LI> <LI><STRONG>UI Changes</STRONG>: Xiaohongshu may update their interface, which could break element selectors used by the skill</LI> <LI><STRONG>Geographic Restrictions</STRONG>: Some functionality may be limited based on geographic location</LI></UL> <H3 id=technical-limitations>Technical Limitations</H3> <UL> <LI><STRONG>Browser Dependence</STRONG>: The skill relies on browser automation which may be slower than direct API calls</LI> <LI><STRONG>Stability</STRONG>: Browser automation can be affected by network conditions and site changes</LI> <LI><STRONG>Resource Usage</STRONG>: Each interaction launches a browser instance, consuming system resources</LI> <LI><STRONG>Headless Compatibility</STRONG>: Some interactions may work better in non-headless mode</LI></UL> <H3 id=security-considerations>Security Considerations</H3> <UL> <LI><STRONG>Authentication Storage</STRONG>: Authentication credentials are stored in <CODE>rednote_cookies.json</CODE> and should be secured</LI> <LI><STRONG>Privacy</STRONG>: Interactions performed with this skill will be visible to other users on Xiaohongshu</LI> <LI><STRONG>Data Handling</STRONG>: The skill doesn't collect user data beyond session management for interaction</LI></UL> <H3 id=ethical-considerations>Ethical Considerations</H3> <UL> <LI><STRONG>Authentic Engagement</STRONG>: Use the skill to facilitate genuine engagement with content that users actually find interesting</LI> <LI><STRONG>Respect Content Creators</STRONG>: Consider the impact of interactions on content creators and their audience</LI> <LI><STRONG>Anti-Spam Ethics</STRONG>: Avoid using the skill for spam-like behavior or in ways that could harm the platform ecosystem</LI></UL> </div> <div class="lastanext flexRow"> <a class="lastart flexRow" href="/wz/339422.html" ><span>上一篇:</span><span>SoundCloud 监控器:追踪艺术家和动态 - Openclaw Skills</span></a> <a class="nextart flexRow" href="/wz/339424.html" ><span>下一篇:</span><span>Twinfold AI 社交媒体助手:自动内容创作 - Openclaw Skills</span></a> </div> </div> <div class="dtl-xgtj"> <div class="jb-titles flexRow"> <div class="jbtle-left flexRow"><b></b><p>相关推荐</p></div> </div> <div class="tjlist flexRow"> <div class="tj-item "> <div class="tjitemd"> <div class="tjimd-top flexRow"> <a class="imdta flexRow" href="/wz/360767.html" > <img src="https://images.jiaoben.net/uploads/20260414/logo_69de0cb825e2f1.jpeg" > </a> <div class="imdt-right flexColumn"> <a class="imdtra flexRow overflowclass" href="/wz/360767.html" >「AI学习笔记」RNN</a> <a class="imdtrap flexRow overflowclass" href="/wz/360767.html" > 从 RNN 简单介绍 在 Transformer 出现之前,序列建模领域的主角长期是 RNN 及其变体。 如果把这段历史简化成一句话:RNN 先解决“能处理序列”,Seq2Seq 解决“输入输出不等长 </a> </div> </div> <div class="tjimd-down flexRow"> <div class="imdd-tab flexRow"> <p class="imddt-time flexRow"><b></b><span>2026-04-14</span></p> </div> <a href="/wz/360767.html" class="imdd-more flexRow flexcenter" >立即查看</a> </div> </div> </div> <div class="tj-item "> <div class="tjitemd"> <div class="tjimd-top flexRow"> <a class="imdta flexRow" href="/wz/360762.html" > <img src="/jiaoben/image/noimg.png" > </a> <div class="imdt-right flexColumn"> <a class="imdtra flexRow overflowclass" href="/wz/360762.html" >Prisma Gen:AI 驱动的 Prisma Schema 生成器 - Openclaw Skills</a> <a class="imdtrap flexRow overflowclass" href="/wz/360762.html" > 什么是 Prisma Gen? 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