Web Content Fetcher

Community

shirenchuang

web-content-fetcher

Extract article content from any URL as clean Markdown. Uses Scrapling script as primary method (with auto fast→stealth fallback), Jina Reader as alternative for simple pages. Preserves headings, links, images, lists, and code blocks. Use this skill whenever the user wants to fetch, read, extract, scrape, or summarize content from a URL — including blog posts, news articles, WeChat articles (微信公众号), documentation pages, or any web page. Also trigger when the user says things like "帮我读一下这篇文章", "抓取这个网页", "提取正文", or "read this page for me".

Overview

Publisher	shirenchuang
Repository	`web-content-fetcher`
Skill name	`web-content-fetcher`
Stars	611
Forks	73
Bundled files	3
Links	Skill source Repository

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by shirenchuang on GitHub. Read the source before you install it.

Installation

Install the Web Content Fetcher 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.
https://github.com/shirenchuang/web-content-fetcher/tree/main
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/shirenchuang/web-content-fetcher.git \
  .claude/skills/web-content-fetcher

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

Use it in TypingMind

Enable Web Content Fetcher 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 Web Content Fetcher 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 Web Content Fetcher 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.

Web Content Fetcher

Given a URL, return its main content as clean Markdown — headings, links, images, lists, code blocks all preserved.

Extraction Strategy

Always try one method per URL — don't cascade blindly. Pick the right one upfront.


URL
 │
 ├─ 1. Scrapling script (preferred)
 │     Run fetch.py — check the domain routing table to decide fast vs --stealth.
 │     Works for most sites. Returns clean Markdown directly.
 │
 └─ 2. Jina Reader (fallback — only if Scrapling fails or dependencies not installed)
       web_fetch("https://r.jina.ai/<url>")
       Free tier: 200 req/day. Fast (~1-2s), good Markdown output.
       Does NOT work for: WeChat (403), some Chinese platforms.

Scrapling script

bash
python3 <SKILL_DIR>/scripts/fetch.py "<url>" [max_chars] [--stealth]

<SKILL_DIR> is the directory where this SKILL.md lives. Resolve it before calling the script.

The script has two modes built in:

Default (fast): HTTP fetch, ~1-3s, works for most sites
--stealth: Headless browser, ~5-15s, for JS-rendered or anti-scraping sites

When run without --stealth, the script automatically falls back to stealth if the fast result has too little content. So you rarely need to specify --stealth manually — the only reason to force it is when you already know the site needs it (see routing table), which saves the initial fast attempt.

Domain Routing

Use this table to pick the right mode on the first call:

Domain	Command	Why
`mp.weixin.qq.com`	`fetch.py <url> --stealth`	JS-rendered content
`zhuanlan.zhihu.com`	`fetch.py <url> --stealth`	Anti-scraping + JS
`juejin.cn`	`fetch.py <url> --stealth`	JS-rendered SPA
`sspai.com`	`fetch.py <url>`	Static HTML
`blog.csdn.net`	`fetch.py <url>`	Static HTML
`ruanyifeng.com`	`fetch.py <url>`	Static blog
`openai.com`	`fetch.py <url>`	Static HTML
`blog.google`	`fetch.py <url>`	Static HTML
Everything else	`fetch.py <url>`	Auto-fallback handles it

Script Options

bash
# Basic — auto-selects fast or stealth
python3 <SKILL_DIR>/scripts/fetch.py "https://sspai.com/post/73145"

# Force stealth for known JS-heavy sites
python3 <SKILL_DIR>/scripts/fetch.py "https://mp.weixin.qq.com/s/xxx" --stealth

# Limit output to 15000 characters (default: 30000)
python3 <SKILL_DIR>/scripts/fetch.py "https://example.com/article" 15000

# JSON output with metadata (url, mode, selector, content_length)
python3 <SKILL_DIR>/scripts/fetch.py "https://example.com" --json

Install Dependencies

First use only — the script checks and tells you if anything is missing:

bash
pip install scrapling html2text

If on system-managed Python (macOS/Linux), add --break-system-packages or use a venv.

Failure Rules

Same URL fails once → give up, tell the user "unable to extract content from this URL"
Do not retry — each failed call wastes context tokens

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 Web Content Fetcher AI skill do?

Why use Web Content Fetcher on TypingMind?

Because you install it once and use it with any model. Web Content Fetcher 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 Web Content Fetcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shirenchuang/web-content-fetcher/tree/main. 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 Web Content Fetcher?

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 Web Content Fetcher?

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

Is the Web Content Fetcher AI skill free?

It is published on GitHub by shirenchuang. Check the repository for licensing terms. 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

Web Content Fetcher

Extraction Strategy

Scrapling script

Domain Routing

Script Options

Install Dependencies

Failure Rules

Bundled files

Frequently asked questions

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