crawldown 0.1.0

Crawl any website and save every page as organized Markdown files

crawldown

Crawl any website and save every page as organized Markdown files.

crawldown mirrors a website's URL structure into a local directory of .md files — perfect for archiving documentation, feeding content into RAG pipelines, or reading offline.

crawldown https://docs.example.com --output ./docs-mirror

docs-mirror/
├── index.md
├── getting-started/
│   ├── index.md
│   └── installation.md
└── api/
    ├── reference.md
    └── authentication.md

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Installation

pip install crawldown

Or with uv:

uv tool install crawldown

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Quickstart

CLI

# Crawl an entire site
crawldown https://docs.example.com --output ./output

# Limit crawl depth
crawldown https://docs.example.com --output ./output --depth 2

# Add a delay between requests (seconds)
crawldown https://docs.example.com --output ./output --delay 0.5

# Skip robots.txt enforcement
crawldown https://docs.example.com --output ./output --no-robots

Python API

import asyncio
from crawldown import crawl

asyncio.run(crawl("https://docs.example.com", output_dir="./output"))

With options:

import asyncio
from crawldown import crawl
from crawldown.models import CrawlConfig

config = CrawlConfig(
    url="https://docs.example.com",
    output_dir="./output",
    max_depth=3,
    delay=0.5,
    respect_robots=True,
)

asyncio.run(crawl(config))

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How it works

1. Starts at the given URL and fetches the page using crawl4ai (handles JavaScript-rendered pages).
2. Extracts all links that stay within the same domain and URL prefix.
3. Converts each page to Markdown and saves it at a path matching the URL structure.
4. Repeats for every discovered link up to max_depth (default: unlimited).

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Options

Flag	Default	Description
--output, -o	./crawldown-output	Directory to save Markdown files
--depth, -d	unlimited	Max link-follow depth
--delay	0.0	Seconds to wait between requests
--no-robots	off	Ignore robots.txt
--version	—	Show version and exit

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Contributing

We welcome contributions of all kinds. See CONTRIBUTING.md for how to get started.

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License

MIT — see LICENSE.