insite 0.1.0

A fasttool for crawling websites and compiling PDFs of their pages

InSite

by Bloom Research

InSite is a Python module for crawling websites and compiling PDFs of their pages. It's primarily intended for crawling code documentation websites to download PDFs for offline knowledge supplementation and RAG implementations in LLMs.

Features

• Efficient parallel web crawling with Playwright
• Smart link discovery even for non-standard link formats
• Content filtering with positive and negative filter patterns
• Proper media rendering before PDF conversion
• Hierarchical PDF organization based on URL structure
• PDF merging capability for creating comprehensive documentation

Installation

pip install insite

Requirements

• Python 3.7+
• Playwright
• pypdf

After installation, you'll need to install the Playwright browsers:

playwright install

Usage Examples

Basic Web Crawling

import asyncio
from insite import InsiteScraper

async def main():
    # Create a scraper for a documentation site
    scraper = InsiteScraper("https://docs.python.org/3/")
    
    # Get all links on the site
    links = await scraper()
    
    print(f"Found {len(links)} links")
    
asyncio.run(main())

Converting Pages to PDFs

import asyncio
from insite import InsiteScraper, InsiteProcessor

async def main():
    # First, get all links from a site
    scraper = InsiteScraper("https://docs.python.org/3/library/")
    links = await scraper()
    
    # Then convert them to PDFs
    processor = InsiteProcessor(output_dir="python_docs")
    successes, failures = await processor.process_links(links)
    
    print(f"Successfully created {successes} PDFs")
    
    # Optionally create a single merged PDF
    master_file = processor.merge_to_masterfile("python_library_docs.pdf")
    print(f"Created master file: {master_file}")
    
asyncio.run(main())

Filtering Content

import asyncio
import re
from insite import InsiteScraper, InsiteProcessor

async def main():
    # Only include specific sections and exclude others
    positive_filters = ['/library/']  # Only library documentation 
    negative_filters = [
        '/archives/',                 # Skip archived content
        re.compile(r'\.(jpg|gif)$'),  # Skip images
    ]
    
    scraper = InsiteScraper(
        "https://docs.python.org/3/",
        max_concurrent=10,  # Use 10 concurrent workers
        debug=True,         # Enable debug output
        positive_filters=positive_filters,
        negative_filters=negative_filters
    )
    
    links = await scraper()
    
    # Process the filtered links
    processor = InsiteProcessor(output_dir="python_library_docs")
    await processor.process_links(links)
    
asyncio.run(main())

Command-Line Usage

The module includes a command-line tool for quick documentation scraping:

python -m insite.cli --url https://docs.python.org/3/ --output python_docs --max-pages 100 --create-master

License

GNU General Public License - GPLv3