content-extraction 0.4.1

Project dedicated to content extraction from unstructured files that contain some useful information.

HTML Content Extraction Tool

A powerful command-line tool for extracting structured content from HTML documents. Converts HTML sections into hierarchical JSON data while preserving formatting, links, and semantic structure.

Features

• Hierarchical Parsing: Automatically detects heading levels and creates nested section structures
• HTML Preservation: Maintains original formatting, links, and semantic elements
• Smart Element Filtering: Includes meaningful content while filtering out irrelevant elements
• Flexible Input/Output: Read from files or stdin, output to files or stdout
• Section Support: Works with existing <section>, <article>, and <main> elements
• Custom Headings: Supports both standard headings (h1-h6) and custom headings with aria-level

Installation

# Install dependencies
pip install beautifulsoup4

# Clone or download this repository
git clone <repository-url>
cd content-extraction

Usage

Basic Usage

# Parse HTML file and output to stdout
python main.py example.html

# Parse with pretty-printed JSON
python main.py --pretty example.html

# Save output to file
python main.py example.html -o output.json

# Read from stdin
cat example.html | python main.py --pretty

# Verbose mode with debug information
python main.py --verbose example.html

Command Line Options

usage: main.py [-h] [-o FILE] [--pretty] [-v] [--version] [input_file]

Extract structured content from HTML documents

positional arguments:
  input_file         Input HTML file (if not provided, reads from stdin)

options:
  -h, --help         show this help message and exit
  -o, --output FILE  Output JSON file (if not provided, writes to stdout)
  --pretty           Pretty-print JSON output with indentation
  -v, --verbose      Show verbose output and debug information
  --version          show program's version number and exit

Output Format

The tool outputs JSON with the following structure:

{
  "title": "Section Title",
  "text": "<p>HTML content preserved</p>",
  "level": 1,
  "subsections": [
    {
      "title": "Subsection Title",
      "text": "<p>Subsection content</p>",
      "level": 2,
      "subsections": []
    }
  ]
}

Fields

• title: Text content of the highest-level heading in the section
• text: All content except headings, with HTML formatting preserved
• level: Aria level of the main heading (1-6, or custom levels)
• subsections: Array of nested subsections with the same structure

Examples

Simple Section

Input HTML:

<section>
    <h2>Getting Started</h2>
    <p>Welcome to our <a href="/api">API</a>!</p>
    <ul>
        <li>Step 1: Register</li>
        <li>Step 2: Get API key</li>
    </ul>
</section>

Output:

{
  "title": "Getting Started",
  "text": "<p>Welcome to our <a href=\"/api\">API</a>!</p>\n<ul>\n<li>Step 1: Register</li>\n<li>Step 2: Get API key</li>\n</ul>",
  "level": 2,
  "subsections": []
}

Nested Sections

Input HTML:

<main>
    <h1>Documentation</h1>
    <p>Introduction text.</p>
    <h2>Installation</h2>
    <p>Installation instructions.</p>
    <h3>Requirements</h3>
    <p>System requirements.</p>
    <h2>Usage</h2>
    <p>Usage examples.</p>
</main>

Output:

{
  "title": "Documentation",
  "text": "<p>Introduction text.</p>",
  "level": 1,
  "subsections": [
    {
      "title": "Installation",
      "text": "<p>Installation instructions.</p>",
      "level": 2,
      "subsections": [
        {
          "title": "Requirements",
          "text": "<p>System requirements.</p>",
          "level": 3,
          "subsections": []
        }
      ]
    },
    {
      "title": "Usage",
      "text": "<p>Usage examples.</p>",
      "level": 2,
      "subsections": []
    }
  ]
}

Supported HTML Elements

Included Elements

• Paragraphs (<p>)
• Lists (<ul>, <ol>, <li>)
• Links (<a>)
• Formatting (<strong>, <em>, <code>, etc.)
• Semantic elements (<section>, <article>, <aside>, etc.)
• Tables (<table>, <tr>, <td>, etc.)
• Media (<img>, <figure>)
• Code blocks (<pre>, <code>)
• Quotes (<blockquote>, <q>)
• All other content elements with meaningful text

Excluded Elements

• Headings (processed separately as section titles)
• Script and style tags
• Meta elements
• Empty elements
• Elements containing headings (processed as subsections)

Smart Root Element Detection

The tool automatically detects the best root element in this priority order:

1. <main> - Primary content area
2. <article> - Standalone article content
3. <section> - Document section
4. <body> - Document body
5. First substantial <div> - Fallback for div-based layouts
6. Entire document - Last resort

Advanced Features

Custom Headings

Supports custom headings with ARIA attributes:

<div role="heading" aria-level="2">Custom Heading</div>

Aria Level Overrides

Standard headings can have their levels overridden:

<h3 aria-level="1">This is treated as level 1</h3>

Mixed Content

Handles complex layouts with mixed content types:

<div>
    <h1>Main Title</h1>
    <p>Introduction</p>
    <section>
        <h2>Section in Section</h2>
        <p>Section content</p>
    </section>
    <h2>Regular Heading</h2>
    <p>Regular content</p>
</div>

Testing

Run the test suite:

python -m pytest tests/ -v

The project includes comprehensive tests covering:

• Basic parsing functionality
• Heading level detection
• Content extraction
• Section handling
• Edge cases and error conditions

License

This project is open source. See LICENSE file for details.

Contributing

Contributions are welcome! Please submit pull requests with tests for any new features.