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Web Word Extractor

A simple command-line tool to extract and count the most frequent words from a given webpage. The tool uses BeautifulSoup for HTML parsing and regular expressions to find words within the text.

Features

  • Fetches HTML content from a given URL.
  • Extracts words and counts their frequency.
  • Supports filtering words by minimum length.
  • Outputs the top N words and saves them to a file if desired.

Requirements

This project requires the following Python packages, specified in the requirements.txt file:

  • beautifulsoup4==4.12.3
  • click==8.1.7

You can install the required packages using pip:

pip install -r requirements.txt