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WebScrapperNBA

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Overview

WebScrapperNBA is a Python-based web scraping tool designed to collect and analyze data from the NBA website. This project aims to provide users with easy access to historical franchise data and statistics.

Features

  • Scrapes NBA franchise history and statistics.
  • Outputs data in a CSV format for easy analysis.

Getting Started

Prerequisites

  • Python 3.x
  • Libraries: requests, beautifulsoup4, pandas

Installation

  1. Clone the repository:
    git clone https://github.com/bishos123/WebScrapperNBA.git
    cd WebScrapperNBA
  2. Install Requirements:
    pip install requests beautifulsoup4 pandas
  3. Run script:
    python Web_scrapper_NBA.py
    

The scraped data will be saved in df_franchise_history.csv, at same directory.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

BeautifulSoup for HTML parsing. Pandas for data manipulation.

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