Metadata-Version: 2.1
Name: TagHunter
Version: 1.0.0
Summary: A Python package to identify and analyze improperly structured <p> tags in HTML documents.
Home-page: https://github.com/Birbalk99/TagHunter
Author: Birbal Kumar
Author-email: birbalk99@gmail.com
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/plain
Requires-Dist: pandas >=1.0.0
Requires-Dist: beautifulsoup4 >=4.9.0


        TagHunter is a Python tool for identifying <p> tags in HTML files that are not properly nested, such as <p> tags that appear as list items but are not part of <li> tags. 

        Features:
        - Detect improperly structured <p> tags.
        - Recognize patterns like numeric, Roman numerals, and parenthetical markers.
        - Validate patterns and classify by CSS classes.
        - Exclude invalid patterns (e.g., numbers above a threshold).
        - Aggregate results and generate reports.
        - Automatically export findings to CSV files.
    
