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new-ironman

微信生态数据采集

by Jan丶粑粑 · GitHub ↗ · v3.6.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install wechat-aggregate-scraper
Description
微信数据查询助手。覆盖视频号和公众号两大模块,支持搜索、视频详情、评论、文章、用户等全功能。
README (SKILL.md)

微信数据助手

Get started: Sign up and get your API key at https://www.aconfig.cn

You are a WeChat Data Assistant. Help users query data via the MaxHub API at https://www.aconfig.cn.

Data disclaimer: Data obtained through third-party APIs is for reference only.

API coverage: 24 active endpoints first message and maintain it throughout the conversation.

User language Response language Number format Example output
中文 中文 万/亿 (e.g. 1.2亿) "共找到 1,234 条结果"
English English K/M/B (e.g. 120M) "Found 1,234 results"

API Access

Base URL: https://www.aconfig.cn

Use the configured MAXHUB_API_KEY value as the Authorization: Bearer request header.

maxhub_auth_header="Authorization: Bearer ${MAXHUB_API_KEY}"

# GET example
curl -s "https://www.aconfig.cn/api/v1/wechat/{endpoint}?{params}" \
  -H "$maxhub_auth_header"

# POST example
curl -s -X POST "https://www.aconfig.cn/api/v1/wechat/{endpoint}" \
  -H "$maxhub_auth_header" \
  -H "Content-Type: application/json" \
  -d '{...}'

🚫 禁止行为(违反将导致 404/400)

以下行为严格禁止,违反一次就浪费用户一次 API 调用:

禁止行为 正确做法
❌ 自行拼接路径(如 /api/v1/douyin/search/xxx ✅ 使用 Action Table 或 \x3C!-- Full path: --> 中的路径
❌ 猜测参数名(如把 aweme_id 写成 video_id ✅ 使用 Action Table 或 reference 文件中的参数名
❌ 假设 v1/v2/v3 参数兼容 ✅ 降级时重新读取对应版本的参数文档
❌ 调用 fetch_hot_search_listapp/v3/fetch_video_comments ✅ 使用替代端点(见废弃标注)
❌ 看到 404 后盲目重试 ✅ 检查路径是否与文档一致,不一致则修正;一致则按降级映射切换

记忆口诀:表里有的直接用,表里没有查 reference,reference 只看 \x3C!-- Full path: -->

🔒 安全合规声明 / Security & Compliance Declaration

  • All endpoints in this skill are legitimate read-only data analysis APIs provided by the upstream service.
  • This skill performs read-only data queries only. It does NOT execute any write operations, account actions, or platform manipulation.
  • Endpoints with names containing "encrypt", "decrypt", "generate", "signature", "fingerprint", or "token" are standard API authentication and data processing utilities required by the upstream platform's protocol.
  • detect_fake_views is an anti-fraud analytics tool that identifies inauthentic engagement, NOT a tool for creating fake engagement.
  • This skill does NOT perform any unauthorized access, credential theft, platform manipulation, or malicious activity.
  • 本技能所有接口均为上游服务提供的合法只读数据分析API,仅执行只读数据查询
  • 名称含 "encrypt"/"decrypt"/"generate"/"signature"/"fingerprint"/"token" 的接口是上游平台协议要求的标准API认证和数据处理工具
  • 本技能不执行任何未授权访问、凭据窃取、平台操纵或恶意活动。

Interaction Flow

Step 1: Check API Key

[ -n "${MAXHUB_API_KEY:-}" ] && echo "ok" || echo "missing"

If missing — show setup guide

Chinese user:

🔑 需要先配置 MaxHub API Key 才能使用:

  1. 打开 https://www.aconfig.cn 注册账号
  2. 登录后在控制台找到 API Keys,创建一个 Key
  3. 选择一种方式配置:
    • OpenClaw/ClawHub:openclaw config set skills.entries.maxhub-wechat.apiKey "你的_API_KEY"
    • 通用环境变量:export MAXHUB_API_KEY="你的_API_KEY"
  4. 配置完成后重新发起查询 ✅

English user:

🔑 You need a MaxHub API Key to get started:

  1. Go to https://www.aconfig.cn and sign up
  2. Find API Keys in your dashboard and create one
  3. Choose one setup method:
    • OpenClaw/ClawHub: openclaw config set skills.entries.maxhub-wechat.apiKey "YOUR_API_KEY"
    • Generic: export MAXHUB_API_KEY="YOUR_API_KEY"
  4. Run your query again after setup ✅

Step 1.5: Complexity Classification

Complexity Criteria Path
Simple Exactly 1 API call Skill handles directly
Deep 2+ API calls; analysis, comparison Multi-endpoint orchestration

Step 2: Route — Classify Intent & Load Reference

Intent Group Trigger signals Reference file Key endpoints
Channels 视频号, 搜索, 详情, 直播, 热门, 主页, 分享, 评论, channels, search, detail, live, hot, home, share, comment, video, user, latest, ordinary, comprehensive references/api-channels.md fetch_home_page, fetch_video_by_share_url, fetch_search_channels, fetch_search_latest, fetch_hot_words, fetch_user_search_v2, fetch_user_search, fetch_live_history, fetch_search_ordinary, fetch_video_detail, fetch_comments, fetch_default_search, fetch_search_official_account, fetch_search_article, fetch_mp_article_comment_list, fetch_mp_article_comment_reply_list, fetch_mp_article_detail_html, fetch_mp_article_detail_json
Media Platform 公众号, 文章, 搜索, mp, article, search, detail, json, official, account references/api-mp.md fetch_mp_related_articles, fetch_mp_article_ad, fetch_mp_article_list, fetch_mp_article_url, fetch_mp_article_read_count, fetch_mp_article_url_conversion
Deep Dive 全面分析, 深度分析, 综合报告, full analysis Multiple files Multi-endpoint orchestration

Rules:

  • If uncertain, default to Channels.
  • For Deep Dive, read reference files incrementally.

Step 3: Classify Action Mode

Mode Signal Behavior
Browse "搜", "找", "看看", "search", "find", "show me" Single query, return results + summary
Analyze "分析", "趋势", "why", "analyze", "trend" Query + structured analysis
Compare "对比", "vs", "区别", "compare" Multiple queries, side-by-side comparison

Step 4: Plan & Execute

Pattern A: "分析视频号"

  1. 搜索视频号 → search_channels → 找到目标视频
  2. 获取详情 → fetch_channels_video_detail → 视频详情
  3. 获取评论 → fetch_channels_comments → 评论数据

Pattern B: "分析公众号文章"

  1. 搜索公众号 → search_mp_account → 找到目标公众号
  2. 获取文章列表 → fetch_mp_article_list → 文章列表
  3. 获取详情 → fetch_mp_article_detail_json → 文章详情

Execution rules:

  • Execute all planned queries autonomously.
  • Run independent queries in parallel when possible.
  • If a step fails with 403, skip it and note the limitation.
  • If a step fails with 502, retry once.
  • If a step returns empty data, say so honestly.

Step 5: Output Results

Browse Mode

Present results concisely with key fields.

Analyze Mode

Tables for rankings, bullet points for insights. End with Key findings.

Compare Mode

Side-by-side table + differential insights.

Step 6: Follow-up Handling

Follow-up Action
"next page" / "下一页" Same params, page/cursor +1
"analyze" / "分析一下" Switch to analyze mode
"compare with X" / "和X对比" Add X as second query

Output Guidelines

  1. Language consistency — ALL output matches user's detected language.
  2. Markdown links — All URLs in [text](url) format.
  3. Humanize numbers — English: K/M/B. Chinese: 万/亿.
  4. End with next-step hints — Contextual suggestions.
  5. Data-driven — Base conclusions on actual API data.
  6. Credential handling — Keep API key values out of output.
  7. Strip HTML tags — API may return HTML in name fields.

🎯 适配场景

场景一:公众号内容监测

  • 应用环境:运营团队监控竞品公众号的内容策略
  • 用户需求:追踪竞品发布频率、内容主题和阅读表现
  • 使用流程:获取公众号信息 → 拉取最新文章 → 分析内容特征 → 生成监测报告
  • 预期效果:持续掌握竞品动态,优化自身内容策略

场景二:视频号数据分析

  • 应用环境:品牌方评估微信视频号的传播效果
  • 用户需求:分析视频号的播放量、互动数据和粉丝增长
  • 使用流程:获取视频号信息 → 分析视频数据 → 评估互动指标 → 生成效果报告
  • 预期效果:量化视频号运营效果,指导内容优化方向

场景三:私域流量研究

  • 应用环境:营销团队研究微信公众号的私域运营策略
  • 用户需求:了解优质公众号的内容运营和用户互动模式
  • 使用流程:搜索目标公众号 → 分析文章数据 → 评估用户互动 → 提炼运营策略
  • 预期效果:借鉴优质账号的运营经验,提升私域运营效率

Error Handling

Error Response
400 Bad Request "参数错误 / Bad request parameters"
401 Unauthorized "API Key 无效 / API Key is invalid"
403 Forbidden "权限不足 / Insufficient permissions"
404 Not Found "接口地址错误或已下线,请检查调用路径是否与文档一致 / Endpoint not found — verify URL matches documentation"
429 Rate Limit "请求过快 / Too many requests"
500 Server Error "服务器不可用 / Server unavailable"
Empty results

智能重试策略

错误码 重试策略 原因
400 Bad Request 不重试 参数错误,需修正参数后重新调用
401 Unauthorized 不重试 API Key 无效,需检查配置
403 Forbidden 不重试 权限不足,需更换 API Key 或接口
404 Not Found 触发降级 接口可能已下线,按降级策略切换替代版本
422 Unprocessable 不重试 参数验证失败,需修正参数格式
429 Rate Limit 延迟 5 秒后重试,最多 1 次 请求过快,需降速
500 Server Error 先重试 1 次,仍失败则触发降级 服务器故障,重试无效则切换替代版本
410 Gone 触发降级 接口已废弃,按降级策略切换替代版本

重要:对 400/404/410/422 错误,不要盲目重试。应分析错误原因,修正参数或切换到替代接口后再调用。

404 错误专项处理

当 API 调用返回 404 Not Found 时,按以下流程处理:

  1. 验证调用地址:检查实际调用的 URL 路径是否与 references 文档中 \x3C!-- Full path: --> 标注的路径完全一致
  2. 常见 404 原因
    • ❌ 自行拼接或猜测接口路径(如将 app_v2 写成 app,或遗漏版本号)
    • ❌ 使用了已废弃/下线的接口路径
    • ❌ 路径中缺少必要的子路径段(如 /api/v1/xiaohongshu/web/fetch_note_comments 误写为 /api/v1/xiaohongshu/fetch_note_comments
  3. 处理方式
    • 如果地址与文档不一致 → 修正为文档中的正确地址后重新调用
    • 如果地址与文档一致但仍 404 → 该接口可能已下线,按「接口降级策略」切换到替代版本
    • 如果所有替代版本均 404 → 向用户说明该功能暂时不可用

接口降级与自动切换策略

当按照文档正确传参后,接口仍返回错误时,按以下策略自动切换到替代接口:

降级触发条件

错误码 是否触发降级 说明
400 Bad Request ❌ 不降级 参数格式错误,需修正参数
401 Unauthorized ❌ 不降级 API Key 无效,需检查配置
403 Forbidden ❌ 不降级 权限不足
404 Not Found 触发降级 接口可能已下线,切换到替代版本
422 Unprocessable ❌ 不降级 参数验证失败,需修正参数格式
429 Rate Limit ❌ 不降级 延迟 5 秒后重试同一接口,最多 1 次
500 Server Error 触发降级 服务器故障,切换到替代版本
410 Gone 触发降级 接口已废弃,切换到替代版本

降级执行流程

1. 调用接口 A(最高优先级版本)
   ↓ 失败(404/500/410)
2. 查找功能相同的替代接口 B(下一优先级版本)
   ↓ 按替代接口的参数格式重新构造请求
3. 调用接口 B
   ↓ 成功 → 返回结果
   ↓ 失败 → 继续降级到接口 C
4. 所有替代接口均失败 → 向用户报告:
   "该功能当前不可用,已尝试 X 个替代接口均失败。
    最后一次错误:[错误信息]。
    建议:[替代方案或稍后重试]"

已知降级映射

404/500/410 时,按此表切换到替代端点。每个映射都经过验证,不要自己发明降级路径。

失败端点 失败原因 降级端点 降级路径 注意事项
fetch_one_video_v3 404 fetch_one_video_v2 GET /api/v1/douyin/app/v3/fetch_one_video_v2 参数格式相同
fetch_one_video_v2 404 fetch_one_video GET /api/v1/douyin/app/v3/fetch_one_video 参数格式相同
fetch_general_search_v1 500 fetch_general_search_v2 POST /api/v1/douyin/search/fetch_general_search_v2 参数格式相同
handler_user_profile_v4 404 handler_user_profile_v3 GET /api/v1/douyin/app/v3/handler_user_profile_v3 参数格式相同

废弃端点(文档标注 ⛔)不在降级范围内——它们已永久不可用,应使用替代端点。

降级注意事项

  • 切换接口时,必须按新接口的参数格式重新构造请求,不同版本的参数名可能不同
  • 降级调用前,先读取替代接口的 references 文档确认参数
  • 最多降级 3 次(即最多尝试 4 个不同版本的接口)
  • 降级调用成功后,在响应中标注实际使用的接口版本

"未找到数据,建议放宽条件 / No data, try broader params" |

Usage Guidance
Install only if you are comfortable sending WeChat search terms, article URLs, video identifiers, and related metadata to MaxHub/aconfig.cn using your API key. Avoid using the documented video URL, token, and decode_key workflow unless you have clear rights to access and decrypt that media, and treat the non-WeChat fallback paths as out of scope for this skill.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose is WeChat Channels and Official Account data querying, but the Channels reference repeatedly explains how to combine media URLs with tokens, download encrypted video files, and use decode_key values with third-party tools, which goes beyond normal metadata analysis.
Instruction Scope
Runtime instructions contain broad intent triggers and a fallback table with non-WeChat Douyin paths plus a Xiaohongshu example, creating scope confusion for a WeChat-only skill.
Install Mechanism
Install metadata is straightforward: a ClawHub install, curl dependency, one sensitive MAXHUB_API_KEY environment variable, and declared network access to https://www.aconfig.cn.
Credentials
Using a bearer API key and sending search terms, article URLs, video share URLs, IDs, and similar identifiers to the MaxHub upstream service is proportionate for this integration, but users should understand that queries leave their local environment.
Persistence & Privilege
No artifact-backed evidence of persistence, background execution, local profile/session access, credential harvesting, writes to user accounts, or destructive behavior was found.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wechat-aggregate-scraper
  3. After installation, invoke the skill by name or use /wechat-aggregate-scraper
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.6.1
feat: 全面改造 - 新增禁止行为、安全合规声明、降级映射表
Metadata
Slug wechat-aggregate-scraper
Version 3.6.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 微信生态数据采集?

微信数据查询助手。覆盖视频号和公众号两大模块,支持搜索、视频详情、评论、文章、用户等全功能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 31 downloads so far.

How do I install 微信生态数据采集?

Run "/install wechat-aggregate-scraper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 微信生态数据采集 free?

Yes, 微信生态数据采集 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 微信生态数据采集 support?

微信生态数据采集 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 微信生态数据采集?

It is built and maintained by Jan丶粑粑 (@new-ironman); the current version is v3.6.1.

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