Turn messy docs into
clean, AI-readable files.

Contextify scrapes documentation websites and transforms them into
structured files that LLMs and AI agents can read & use.

Crawls and extracts all pages under this path.
Loading...
Scraping Documentation

Initializing...

Pages Found: 0
Processed: 0
Current: -

Scraping Complete!

Your documentation has been successfully converted to Markdown files and packaged into a ZIP archive.

Scraping Failed

An error occurred during scraping.

These LLMs ❤️ Contextify:

Replit Cursor Claude Lovable v0.dev LangChain OpenAI Replit Cursor Claude Lovable v0.dev LangChain OpenAI

AI agents are hungry — but docs aren't built for them.

📚

Docs are scattered

Most API docs are split across 20+ pages, behind JS frameworks, impossible to copy-paste.

🧠

LLMs can't browse

Replit agents, Claude, and LangChain can't read URLs — they need clean, local context.

🛠️

You shouldn't have to write a scraper

Devs waste hours building scrapers just to feed context into their agents. Stop that.

Contextify solves this in 10 seconds — no code, no setup.

How Contextify works

1

Discover

Paste a base URL and we crawl all pages under it.

2

Extract

We convert the main content into clean Markdown (or JSON/TXT).

3

Package

You get a single download: separate files or one giant .md — ready to prompt.

Used by indie hackers, AI agents, and YC-backed teams.

"Finally a tool that understands how agents work. Absolute time-saver."

— @devdude, Replit Agent Builder

"Scraping API docs for my LangChain prototype used to take hours. Now it's 1 click."

— @founderella, Indie Hacker

"Contextify helped us feed thousands of pages into our Claude 3 stack."

— @buildwithai, YC W24

Try these doc sites now:

Docusaurus

https://docusaurus.io/docs

Vite

https://vitejs.dev/guide/

Swagger

https://petstore.swagger.io

TwitterAPI.io

https://docs.twitterapi.io/api-reference/endpoint/

Ready to feed your agent?

Paste a URL and let Contextify do the rest.