Scrapling

CommunityPopular

fengshao1227

scrapling

使用 scrapling 进行网页抓取和数据提取。自动选择 Fetcher，支持 Cloudflare/WAF 绕过、Session 登录、HTML 解析。当用户提到 scrape/crawl/fetch page/extract data/爬取/抓取/绕过Cloudflare/解析HTML/批量采集时触发。

Overview

Publisher	fengshao1227
Repository	`ccg-workflow`
Skill name	`scrapling`
Stars	5.9K
Forks	446
Bundled files	9
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by fengshao1227 on GitHub. Read the source before you install it.

Installation

Install the Scrapling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/fengshao1227/ccg-workflow.git /tmp/ccg-workflow
mkdir -p .claude/skills
cp -r /tmp/ccg-workflow/templates/skills/scrapling .claude/skills/scrapling

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scrapling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Scrapling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Scrapling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Scrapling 网页抓取 Skill

步骤 0：检查版本

bash
pip show scrapling

未安装 → 执行 pip install "scrapling[fetchers]" + scrapling install
有新版 → 执行 pip install --upgrade "scrapling[fetchers]" → 查 changelog 告知用户
已最新 → 继续

步骤 1：选择 Fetcher


目标网站 →
│
├─ 已有 HTML 字符串/文件，只需解析?
│   → Selector（纯解析，无网络请求）
│   → 模板: templates/parse_only.py
│
├─ 静态页面，无 JS 渲染，无反爬?
│   → Fetcher（最快，基于 curl_cffi）
│   → 模板: templates/basic_fetch.py
│
├─ 需要登录（HTTP 表单，非 JS 登录）?
│   → FetcherSession（保持会话 cookie）
│   → 模板: templates/session_login.py
│
├─ 有 Cloudflare / WAF 保护?
│   → StealthyFetcher（Camoufox 浏览器，自动过 CF）
│   → 模板: templates/stealth_cloudflare.py
│
├─ SPA 应用（React/Vue），需要 JS 渲染?
│   → DynamicFetcher（Playwright 浏览器）
│   → 基于模板即时生成
│
└─ 不确定?
    → 先用 Fetcher 试，403/空内容 → 升级到 StealthyFetcher

步骤 2：执行工作流


1. 检查版本（步骤 0）
2. 查阅 references/site-patterns.md — 匹配已有模式则直接复用
3. 无匹配 → 用决策树选择 Fetcher
4. 读取对应模板 → 替换参数 → 生成完整脚本
5. 执行脚本 → 返回结果
6. **沉淀经验（必做）**:
   - 新站点 → 追加到 site-patterns.md
   - 新 cookie / 用户提供了 cookie → 保存到 cookie-vault.md
   - **完成抓取后必须检查**：是否有新的 cookie 或 site pattern 需要保存

Cookie 格式速查

Fetcher 类型	Cookie 格式	示例
Fetcher / FetcherSession	`dict`	`{'name': 'value', 'token': 'abc'}`
StealthyFetcher / DynamicFetcher	`list[dict]`	`[{'name': 'n', 'value': 'v', 'domain': '.site.com', 'path': '/'}]`

浏览器 Fetcher cookie 必填字段: name, value, domain, path

超时单位速查

Fetcher 类型	超时单位	示例
Fetcher / FetcherSession	秒	`timeout=30`
StealthyFetcher / DynamicFetcher	毫秒	`timeout=60000`

模板索引

模板	文件	何时读取
基础 HTTP 抓取	`templates/basic_fetch.py`	目标为静态页面，无反爬
Cloudflare 绕过	`templates/stealth_cloudflare.py`	目标有 CF/WAF 保护
Session 登录	`templates/session_login.py`	需 HTTP 表单登录后抓取
纯 HTML 解析	`templates/parse_only.py`	已有 HTML 字符串，只需提取数据

References 索引

文件	何时读取
`references/site-patterns.md`	每次抓取前先查阅 — 检查目标站点是否有已记录的模式
`references/api-quick-ref.md`	生成脚本时查阅 — Fetcher/Selector 方法签名和参数
`references/troubleshooting.md`	执行报错时查阅 — 按错误信息查找原因和解决方案
`references/cookie-vault.md`	需要登录 cookie 时查阅 — 检查是否有历史记录可复用
`references/maintenance.md`	安装/升级/依赖问题时查阅 — 安装层级和验证命令

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Scrapling AI skill do?

Why use Scrapling on TypingMind?

Because you install it once and use it with any model. Scrapling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Scrapling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fengshao1227/ccg-workflow/tree/main/templates/skills/scrapling. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Scrapling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Scrapling?

As many as you like. As long as a model supports skills, you can use Scrapling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Scrapling AI skill free?

Yes. It is published on GitHub by fengshao1227 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Scrapling 网页抓取 Skill

步骤 0：检查版本

步骤 1：选择 Fetcher

步骤 2：执行工作流

Cookie 格式速查

超时单位速查

模板索引

References 索引

Bundled files

Frequently asked questions

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