🎬 Highest-Grossing Japanese Films Web Scraper

This project is a simple Python web scraping script that extracts data from the Wikipedia page on highest-grossing Japanese films. The script collects movie-related data such as titles, gross revenue, release year, and more, and stores it in a structured format using pandas.

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📌 Features

• ✅ Scrapes movie data from Wikipedia using requests and BeautifulSoup.
• ✅ Extracts table headers and rows into a clean pandas DataFrame.
• ✅ Drops unnecessary columns (e.g., notes or references).
• ✅ Optional: Save the final DataFrame to a .csv file for analysis or visualization.

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🧠 How It Works

1. Sends a GET request to the Wikipedia page using a custom User-Agent.
2. Parses the page with BeautifulSoup and locates the first HTML <table>.
3. Extracts column headers and row values.
4. Cleans the data by dropping the last column.
5. Saves or prints the result.

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🛠️ Requirements

Install the required packages:

pip install requests beautifulsoup4 pandas