This project demonstrates web scraping using Selenium WebDriver to extract data from an HTML table on a Wikipedia page. Specifically, it retrieves the list of countries and territories by total population, presenting a real-world example of data extraction and automation using Selenium.

• Automates navigation to a Wikipedia page on country populations.
• Extracts data from an HTML table, including:
  • Location (Country or territory)
  • Population
  • Percentage of world population
  • Date of population data
  • Source of the data
  • Notes
• Processes table rows dynamically to handle updates to the table structure or content.
• Uses JavaScript for smooth scrolling to the target table.

Ensure you have the following before running the project:

1. Java Development Kit (JDK) - Version 8 or above.
2. Google Chrome - Latest stable version.
3. ChromeDriver - Version compatible with your Chrome browser.
4. Selenium WebDriver - Included in the project dependencies.

• Java - The programming language for the project.
• Selenium WebDriver - For web element interaction and automation.
• Google Chrome & ChromeDriver - For browser-based automation.
• JavaScript Executor - For advanced browser interactions like scrolling.