docs-crawler 0.1.0

A documentation crawler that converts web documentation to Markdown format

Docs Crawler

A powerful documentation crawler that converts web documentation to Markdown format using Playwright for JavaScript-rendered content.

Features

• Smart Link Discovery: Tries sitemap first, automatically falls back to recursive link discovery
• Discover Mode: Find and save documentation URLs before crawling
• Crawls documentation from sitemaps or URL lists
• Uses Playwright to handle JavaScript-rendered Single Page Applications (SPAs)
• Converts HTML to clean Markdown format
• Auto-detects domain-based folder structure
• Generates an index of all crawled pages
• Progress tracking with tqdm
• Retry logic for failed requests

Requirements

• Python 3.8+
• Poetry (for dependency management)

Installation

Using Poetry (Recommended)

# Install Poetry if you haven't already
curl -sSL https://install.python-poetry.org | python3 -

# Clone the repository
git clone https://github.com/neverbiasu/docs-crawler.git
cd docs-crawler

# Install dependencies
poetry install

# Install Playwright browsers
poetry run playwright install chromium

Using pip

pip install docs-crawler
playwright install chromium

Usage

Command Line Interface

The package provides a docs-crawler command with three modes:

1. Sitemap Mode (Default)

Tries to fetch URLs from sitemap first, automatically falls back to recursive link discovery if sitemap is not available.

# Crawl from sitemap (with automatic fallback)
poetry run docs-crawler --base-url https://example.com

# Specify custom sitemap URL
poetry run docs-crawler --sitemap-url https://example.com/custom-sitemap.xml

# Customize path filter and max URLs to discover
poetry run docs-crawler --base-url https://example.com --path-filter /docs/ --max-depth 200

2. Discover Mode

Discover all documentation URLs and save them to a file for review before crawling.

# Discover links and save to auto-generated file (e.g., example_urls.txt)
poetry run docs-crawler --mode discover --base-url https://example.com

# Specify custom output file
poetry run docs-crawler --mode discover --base-url https://example.com --output-file my-urls.txt

# Start from a specific URL
poetry run docs-crawler --mode discover --start-url https://example.com/docs/intro

# Customize discovery settings
poetry run docs-crawler --mode discover --base-url https://example.com --path-filter /api/ --max-depth 50

The discover mode will:

1. Find all documentation links (using sitemap or recursive discovery)
2. Display the first 10 URLs as a preview
3. Ask for your confirmation before saving
4. Save URLs to a file named {subdomain}_urls.txt (e.g., example_urls.txt)

3. List Mode

Crawl from a list of URLs in a text file.

# Crawl from URL list
poetry run docs-crawler --mode list --file urls.txt

# Specify custom output folder
poetry run docs-crawler --mode list --file urls.txt --folder my-docs

Common Options

# Custom output directory
--output-dir custom-output

# Custom folder name
--folder my-docs

# Path filter for link discovery (default: /docs/)
--path-filter /documentation/

# Maximum URLs to discover (default: 100)
--max-depth 500

# Starting URL for recursive discovery
--start-url https://example.com/docs/

Python API

from docs_crawler import Crawler

# Create crawler instance
crawler = Crawler(
    base_url="https://antigravity.google",
    output_dir="output",
    custom_folder="antigravity"
)

# Run with automatic link discovery (sitemap first, then recursive)
crawler.run()

# Discover links only
urls = crawler.discover_links(
    start_url="https://example.com/docs/",
    path_filter="/docs/",
    max_depth=100
)
print(f"Found {len(urls)} URLs")

# Run with custom URLs
crawler.run(urls=[
    "https://example.com/docs/page1",
    "https://example.com/docs/page2"
])

# Run with custom discovery settings
crawler.run(
    start_url="https://example.com/docs/intro",
    path_filter="/documentation/",
    max_depth=200
)

Output

• The downloaded Markdown files will be saved in the output/ directory (or custom directory).
• An index of all downloaded pages is available at output/{folder}/index.md.
• Files are organized by domain or custom folder name.

Development

# Install development dependencies
poetry install --with dev

# Run tests
poetry run pytest

# Format code
poetry run black .

# Lint code
poetry run flake8

# Type checking
poetry run mypy docs_crawler

Configuration

The crawler can be configured through:

• Command-line arguments
• Python API parameters
• Environment variables (coming soon)

How It Works

Link Discovery

The crawler uses a smart two-step approach:

1. Sitemap First: Attempts to fetch URLs from the sitemap.xml file
2. Recursive Discovery Fallback: If sitemap is unavailable or empty, automatically discovers links by:
   • Starting from a base URL (e.g., /docs/)
   • Extracting all internal links matching the path filter
   • Recursively crawling pages to find more documentation links
   • Respecting the max-depth limit to avoid excessive crawling

Workflow Example

# Step 1: Discover links and save for review
poetry run docs-crawler --mode discover --base-url https://example.com
# Output: example_urls.txt

# Step 2: Review and edit urls.txt if needed
# (Remove unwanted URLs, add missing ones, etc.)

# Step 3: Crawl the URLs
poetry run docs-crawler --mode list --file example_urls.txt

Notes

• The crawler uses Playwright to handle JavaScript-rendered content, making it suitable for modern SPAs.
• Default path filter is /docs/ but can be customized with --path-filter
• Respects retry limits and timeouts to be polite to servers.
• Auto-detects domain-based folder structure or uses custom folder names.
• Recursive discovery avoids infinite loops by tracking visited URLs
• URL files are named using the subdomain for easy identification (e.g., github_urls.txt, example_urls.txt)

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.