Jupyter Notebooks are a versatile tool for web scraping, offering an interactive environment that integrates code execution, data visualization, and documentation within a single platform. This server-client application can run locally or on a remote server, leveraging the ipython kernel for executing Python code. Jupyter Notebooks are particularly advantageous for web scraping due to their support for modular code development through cells, easy integration with data analysis libraries like pandas and seaborn, and their capability to produce shareable documents. While they facilitate debugging and exploratory data analysis, they may not be suitable for large-scale projects or automated tasks due to performance limitations and their design for manual execution. Nevertheless, Jupyter Notebooks serve as a valuable tool for educational tutorials, scientific research, and data exploration, allowing users to perform web scraping and data analysis seamlessly in one environment.