A Python web scraper using Selenium to extract global energy data from the IEA website. Collects data such as energy mix, electricity mix, CO2 emissions, and yearly statistics for countries. Saves results in a CSV file for analysis. Ideal for researchers and data enthusiasts interested in energy trends.

Program designed to extract public data from the Nord Pool energy manager through web scraping, this data contains information about the energy market in some Nordic countries.

In this project, web scraping was used to collect global data on various energy sources. Python and Tableau were then employed to analyze and visualize this data, comparing different energy sources and their usage across different countries.