Markdown Fetch

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

Why Use This

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)

Triggering

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

Quick Start

# 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

Typical Usage Patterns

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

Conversion Methods

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

Options

--method <auto|ai|browser> - Conversion method
--retain-images - Keep image references in output
--output <file> - Save to file instead of stdout

Output

Returns clean Markdown with metadata:

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

# Content here...

When to Use

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

Implementation Notes

The service handles:

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

markdown-fetch