webtable2json v1.0.0 - Initial Release

🎉 Initial Release
A powerful Python library for extracting HTML tables from webpages and converting them to structured JSON format.

✨ Features
Universal Table Extraction: Extract tables from any URL or HTML content
Smart Data Cleaning: Automatically cleans and normalizes table data
Complex Table Support: Handles thead, tbody, colspan, rowspan, and nested structures
Link Preservation: Maintains links and metadata from table cells
Flexible Output: Get all tables or target specific ones by index
Type Safety: Full type hints for better development experience
Error Handling: Comprehensive error handling with meaningful messages

🚀 Key Functions
convert_url_to_json() - Extract tables directly from URLs
convert_html_to_json() - Process HTML content
get_main_table() - Get the largest/main table automatically
get_clean_ranking_data() - Specialized function for ranking websites
WebTableToJSON class - Full control with custom headers and options

📊 Perfect For
Web scraping projects
Data extraction from ranking websites (NIRF, university rankings, etc.)
Converting tabular web data to structured formats
Research and data analysis
API development requiring table data

🛠 Requirements
Python 3.7+
requests >= 2.25.0
beautifulsoup4 >= 4.9.0

📦 Installation
pip install webtable2json
🔧 Quick Start
from webtable2json import convert_url_to_json

Extract all tables from a webpage

tables = convert_url_to_json("https://example.com/data")
print(f"Found {len(tables)} tables")

This initial release provides a solid foundation for HTML table extraction with clean, intuitive APIs and robust error handling.