🎥 IMDb Web Scraping Project 📖 Overview This project demonstrates the use of Python to scrape data from the IMDb website. The main goal is to gather movie-related information, such as titles, release dates, ratings, and more. The project also addresses challenges such as handling HTTP 403 Forbidden errors and ensuring that the data is clean and ready for analysis.

🛠 Technologies Used Python 3.x 🐍 BeautifulSoup (for HTML parsing) Requests (for sending HTTP requests) Pandas (for data manipulation) Jupyter Notebook (for writing and running the project)

📂 Files in the Repository Webscrapping_IMDB.ipynb: Jupyter notebook containing the code for scraping IMDb data and performing analysis. requirements.txt: A list of required libraries to install to run this project.

Here's an oriented README specifically designed for your IMDb web scraping project, which you can use when uploading to GitHub:

🎥 IMDb Web Scraping Project 📖 Overview This project demonstrates the use of Python to scrape data from the IMDb website. The main goal is to gather movie-related information, such as titles, release dates, ratings, and more. The project also addresses challenges such as handling HTTP 403 Forbidden errors and ensuring that the data is clean and ready for analysis.

🛠 Technologies Used Python 3.x 🐍 BeautifulSoup (for HTML parsing) Requests (for sending HTTP requests) Pandas (for data manipulation) Jupyter Notebook (for writing and running the project) 📂 Files in the Repository Webscrapping_IMDB.ipynb: Jupyter notebook containing the code for scraping IMDb data and performing analysis. requirements.txt: A list of required libraries to install to run this project.