markdown-fetch

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Original

English

🇨🇳

Translation

Chinese

Markdown Fetch

Efficiently fetch web content as clean Markdown using the markdown.new service.

使用markdown.new服务高效获取网页内容，输出为整洁的Markdown格式。

Why Use This

为什么使用本工具

80% fewer tokens than raw HTML
5x more content fits in context window
No external dependencies or parsing libraries needed
Three-tier conversion (Markdown-first, AI fallback, browser rendering)

比原始HTML的token数量少80%
上下文窗口可容纳的内容量提升5倍
无需外部依赖或解析库
三层转换机制（Markdown优先、AI兜底、浏览器渲染）

Triggering

触发条件

This skill should trigger automatically when:

User provides a URL (e.g., "Read https://example.com")
User asks to extract/fetch/analyze web content
User requests summarization of a webpage
User needs to process article/blog/documentation URLs

本skill会在以下场景自动触发：

用户提供URL时（例如："Read https://example.com"）
用户要求提取/获取/分析网页内容时
用户请求对某个网页进行总结时
用户需要处理文章/博客/文档类URL时

Quick Start

快速开始

bash

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bash

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Fetch any URL

scripts/fetch.sh "https://example.com"

Use browser rendering for JS-heavy sites

scripts/fetch.sh "https://example.com" --method browser

Retain images in output

scripts/fetch.sh "https://example.com" --retain-images

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scripts/fetch.sh "https://example.com" --retain-images

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Typical Usage Patterns

典型使用场景

When a user says:

"Read this article: https://..." → Use this skill to fetch the content
"Summarize https://..." → Fetch with this skill first, then summarize
"What does this page say: https://..." → Fetch the content
"Extract the text from https://..." → Use this skill

当用户提出以下需求时：

"阅读这篇文章：https://..." → 使用本skill获取内容
"总结https://..." → 先用本skill抓取内容，再进行总结
"这个页面讲了什么：https://..." → 抓取内容
"提取https://...的文本内容" → 使用本skill

Conversion Methods

转换方法

auto (default) - Try Markdown-first, fall back to AI or browser as needed
ai - Use Cloudflare Workers AI for conversion
browser - Full browser rendering for JS-heavy content

auto（默认） - 优先尝试Markdown转换，必要时兜底使用AI或浏览器渲染
ai - 使用Cloudflare Workers AI进行转换
browser - 针对重JS内容启用完整浏览器渲染

Options

参数选项

--method <auto|ai|browser>

- Conversion method

--retain-images

- Keep image references in output

--output <file>

- Save to file instead of stdout

--method <auto|ai|browser>

- 转换方法

--retain-images

- 在输出中保留图片引用

--output <file>

- 保存到文件而非输出到stdout

Output

输出

Returns clean Markdown with metadata:

markdown

---
title: Page Title
url: https://example.com
method: auto
duration_ms: 725
fetched_at: 2026-03-07T12:00:00Z
---

返回带元数据的整洁Markdown内容：

markdown

---
title: Page Title
url: https://example.com
method: auto
duration_ms: 725
fetched_at: 2026-03-07T12:00:00Z
---

Content here...

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When to Use

适用场景

Extracting articles, documentation, or blog posts
Building RAG pipelines with web content
Summarizing web pages
Fetching content for analysis
Converting sites to Markdown format

提取文章、文档或博客帖子内容
基于网页内容搭建RAG pipeline
网页内容总结
抓取内容用于分析
将站点转换为Markdown格式

Implementation Notes

实现说明

The service handles:

Content negotiation (Accept: text/markdown)
Cloudflare Workers AI conversion
Browser rendering for dynamic content
Automatic fallback between methods

本服务支持：

内容协商（Accept: text/markdown）
Cloudflare Workers AI转换
动态内容的浏览器渲染
多方法自动兜底切换