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site2markdown

A robust Python utility to convert web pages into clean, structured Markdown. Optimized for generating high-quality context for Large Language Models (LLMs).

Installation

pip install site2markdown

Usage

site2markdown usage example

Quick Start

from site2markdown import UrlToMarkdown

converter = UrlToMarkdown()

# Convert URL to Markdown
markdown = converter.convert(
    url="https://www.example.com",
    inline_title=True,        # Include the page title as an H1
    ignore_links=False,       # Preserve hyper-links
    improve_readability=True  # Use readability algorithm to filter boilerplate
)

print(markdown)

Converting HTML Content

from site2markdown import UrlToMarkdown

converter = UrlToMarkdown()
html_content = "<html><body><h1>Example</h1><p>Text content.</p></body></html>"

markdown = converter.convert_html(
    html=html_content,
    url="https://www.example.com",  # Optional: base URL for resolving relative paths
    inline_title=True,
    improve_readability=True
)

print(markdown)

Core Features

  • LLM Optimized: Produces clean text with minimal noise, ideal for RAG and LLM context.
  • Smart Filtering: Automatic removal of scripts, styles, and non-content elements.
  • Specialized Handling: Custom parsing logic for sites like Stack Overflow, Wikipedia, and Medium.
  • Readability Engine: Integration with Mozilla's Readability algorithm to extract the main article body and skip navigation/sidebars.
  • Structure Preservation: Reliable conversion of code blocks, tables, and nested lists.
  • URL Resolution: Automatically converts relative links and image paths to absolute URLs.

Configuration Options

Option Type Description Default
inline_title bool Includes the page title as an H1 heading at the top. True
ignore_links bool Removes all hyperlinks from the output. False
improve_readability bool Processes the page through a readability filter before conversion. True

License

This project is licensed under the MIT License.

Metadata

Release files for site2markdown 1.0.2

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