Any URL to Markdown, instantly
Convert any web page to clean Markdown for AI agents, LLMs, and developers. Open source, edge-deployed, 21 platform adapters.
format · selector · force_browser · raw · engine
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Deep Dive: LLMs in Enterprise Production
John Zhang | 2026-03-25
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# Deep Dive: LLMs in Enterprise Production
> John Zhang | 2026-03-25
## Key Takeaways
1. LLMs are moving from lab experiments to production environments
2. RAG architecture is the preferred approach for enterprise apps
3. Agent workflows will redefine software development
2. RAG architecture is the preferred approach for enterprise apps
3. Agent workflows will redefine software development
## Background
With the release of GPT-4, Claude, and other models, enterprises are seriously considering integrating LLMs into their core business workflows...
```python
from langchain import ChatOpenAI
llm = ChatOpenAI(model="gpt-4")
```
from langchain import ChatOpenAI
llm = ChatOpenAI(model="gpt-4")
```
✓ X-Method: browser+readability · 2.1s · cached
Works where others fail
JS-heavy SPAs, paywalled content, anti-bot sites. 21 adapters for Chinese & international platforms.
→
BLOCKED PAGE
Zhihu - Q&A Platform
How do you evaluate LLM adoption in enterprises?
In recent years, with breakthroughs in large language model technology, more and more enterprises are exploring integrating AI into core business...
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CLEAN MARKDOWN
# How do you evaluate LLM adoption in enterprises?
In recent years, with breakthroughs in large language model technology, more and more enterprises are exploring integrating AI into core business workflows.
## Three Key Trends
- Multimodal capabilities becoming standard
- Growing demand for private deployment
- Agent frameworks flourishing
- Growing demand for private deployment
- Agent frameworks flourishing
✓ Extracted via browser rendering
User
Read this article and summarize the key points
https://mp.weixin.qq.com/s/abc123
https://mp.weixin.qq.com/s/abc123
Claude
⚙ convert_url
url: "https://mp.weixin.qq.com/s/..."
✓ 3,421 chars · 2.1s
Here are the key takeaways from the article:
1. LLMs are moving from experiments to production
2. RAG is the most practical architecture currently
3. Agents will transform software development
2. RAG is the most practical architecture currently
3. Agents will transform software development
The article also mentions an interesting case study...
AI-native from day one
MCP Server, Agent Skills, llms.txt built-in. Your AI agent just works -- no glue code needed.
Production ready
568 tests, 5-layer fallback pipeline, KV cache, edge-deployed on Cloudflare Workers.
Request:
https://example.com/article
Layer 1 — Native Markdown
Cloudflare edge
⚡ 0.1s ✓
│ fail?
Layer 2 — Readability + Turndown
HTML parsing
⚡ 0.5s
│ fail?
Layer 3 — Browser Rendering
Headless Chrome
⚡ 2-5s
│ fail?
Layer 4 — CF REST API
Browser Rendering
⚡ 1-3s
│ fail?
Layer 5 — Jina Reader
External fallback
⚡ 2-4s
Result: Clean Markdown · 99.2% success rate
Built for every workflow
AI Agents
Feed web content to LLMs in clean Markdown
Knowledge Base
Crawl docs, wikis, blogs with deep crawl
Content Migration
Batch convert up to 10 URLs
Research
Read any article, no login walls
Chinese Web
WeChat, Zhihu, Feishu, Yuque, CSDN...
Data Extraction
CSS selectors, XPath, or Regex
21 Platform Adapters
WeChatZhihuFeishuYuqueJuejinCSDN36KrToutiaoWeiboNetEaseTwitter/XRedditNotionGitHubSubstackMedium
How it works
i
Prepend URL
Add md.genedai.me/ before any web address
ii
Edge Pipeline
5-layer fallback: Native → Readability → Browser → CF REST → Jina
iii
Clean Output
Markdown, JSON, HTML, or plain text
Frequently asked questions
What is Website2Markdown?
A free, open-source API that converts any web page URL to clean Markdown. Built on Cloudflare Workers with 5-layer fallback: native edge Markdown → Readability → headless browser → CF REST API → Jina Reader.
Is it free?
Yes, completely free and open source under Apache-2.0. Self-host or use the managed service at md.genedai.me.
Which platforms are supported?
21 built-in adapters: WeChat, Zhihu, Feishu/Lark, Yuque, Juejin, CSDN, 36Kr, Toutiao, Weibo, NetEase, Twitter/X, Reddit, Notion, and more. Any public URL works via generic fallback.
How does it handle JS-heavy pages?
Automatic 5-layer fallback. If native extraction fails, it escalates to Readability, then headless Chrome via Cloudflare Browser Rendering, then Jina Reader as last resort. Use ?force_browser=true to skip straight to browser rendering.
How to integrate with my AI agent?
Three ways: (1) Agent Skills for Claude Code/OpenClaw -- one command install. (2) MCP Server for Claude Desktop/Cursor. (3) llms.txt for auto-discovery by any AI system.
How to use the API?
Prepend md.genedai.me/ before any URL. For raw Markdown, add ?raw=true. Example: curl "https://md.genedai.me/https://example.com?raw=true". See the Docs tab for full API reference.
Try it now.
Quick Start
# Get raw Markdown
curl -H "Accept: text/markdown" https://web2md.cutexiaoguigui.eu.org/https://example.com# Get JSON output
curl "https://web2md.cutexiaoguigui.eu.org/https://example.com?raw=true&format=json"# Batch conversion
curl -X POST https://web2md.cutexiaoguigui.eu.org/api/batch \
-H "Authorization: Bearer API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"urls":["https://example.com"]}'API Reference
| Routes | |
|---|---|
GET /{url} | Convert a single URL to Markdown |
GET /api/stream | SSE progress for single-URL conversion (step / done / fail) |
POST /api/batch | Convert up to 10 URLs (requires API_TOKEN) |
POST /api/extract | Structured extraction (css / xpath / regex) |
POST /api/jobs | Create, query, stream, and run jobs |
POST /api/deepcrawl | BFS / BestFirst deep crawl with filters and scoring |
GET /api/health | Health check and operational metrics |
GET /api/og | Share-image generator |
GET /llms.txt | AI-readable API description |
Query Parameters
?raw=true | Return raw Markdown (no HTML wrapper) |
?format= | Output format (markdown | html | text | json) |
?selector=.css | Extract only matching CSS selector |
?force_browser=true | Force headless browser rendering |
?engine=jina | Convert via specific engine (jina / cf) |
?no_cache=true | Bypass cache, fetch fresh content |
?token= | Public API token |
Authentication
PUBLIC_API_TOKEN — Single-URL convert and /api/stream accept Bearer or ?token=...
API_TOKEN — /api/batch, /api/extract, /api/jobs*, and /api/deepcrawl require API_TOKEN
curl Examples
# Get raw markdown
curl -H "Accept: text/markdown" https://web2md.cutexiaoguigui.eu.org/https://example.com# Get JSON output
curl "https://web2md.cutexiaoguigui.eu.org/https://example.com?raw=true&format=json"# Batch conversion
curl -X POST https://web2md.cutexiaoguigui.eu.org/api/batch \
-H "Authorization: Bearer API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"urls":["https://example.com"]}'# Structured extraction
curl -X POST https://web2md.cutexiaoguigui.eu.org/api/extract \
-H "Authorization: Bearer API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"strategy":"css","url":"https://example.com","schema":{"fields":[{"name":"title","selector":"h1","type":"text","required":true}]}}'# Deep crawl
curl -X POST https://web2md.cutexiaoguigui.eu.org/api/deepcrawl \
-H "Authorization: Bearer API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"seed":"https://example.com/docs","stream":true}'Response Headers
X-Markdown-Method | native | readability+turndown | browser+readability+turndown | jina |
X-Cache-Status | HIT | MISS |
X-Source-URL | The original target URL |
Choose Your Integration
Does your agent have a terminal?
YES → Agent Skills (fastest, richest context)
NO → MCP Server
All AI → llms.txt auto-discovery
Agent Skills
For: Claude Code, Codex CLI, Gemini CLI, OpenClaw
One command to install, auto-discovered by your agent. Includes full usage patterns, error handling, and guides for all 21 platform adapters.
Claude Code
git clone https://github.com/Digidai/website2markdown-skills ~/.claude/skills/website2markdown
Codex CLI
git clone https://github.com/Digidai/website2markdown-skills ~/.codex/skills/website2markdown
Gemini CLI
git clone https://github.com/Digidai/website2markdown-skills ~/.gemini/skills/website2markdown
OpenClaw
npx clawhub@latest install website2markdown
One command install, auto-discovered in new sessions
MCP Server
For: Claude Desktop, Cursor IDE, Windsurf
Standard MCP protocol with convert_url tool.
npm install -g @digidai/mcp-website2markdown
Claude Desktop config (~/.claude/claude_desktop_config.json)
{
"mcpServers": {
"website2markdown": {
"command": "mcp-website2markdown",
"env": {
"WEBSITE2MARKDOWN_API_URL": "https://web2md.cutexiaoguigui.eu.org"
}
}
}
}
llms.txt
For: any AI system with web access
Machine-readable API description following the llms.txt standard. Any AI system can discover all capabilities from this endpoint.
https://web2md.cutexiaoguigui.eu.org/llms.txt →Comparison
| Skills | MCP | llms.txt | |
|---|---|---|---|
| Latency | ★★★ | ★★ | ★★★ |
| Context | ★★★ | ★ | ★★ |
| Install | 1 command | 1 command | None |
| Best for | CLI AI | IDE AI | All |