Web Scrapping with Python 🌐 🖥️ 🛜

Description:

This Python script extracts data on Asian countries from the Wikipedia page "List of Asian Countries by Area" (https://en.wikipedia.org/wiki/List_of_Asian_countries_by_area). It utilizes the requests and BeautifulSoup libraries to retrieve and parse the HTML content, then extracts country names and creates a Pandas DataFrame for further analysis.  

Features:

• Fetches data from the specified Wikipedia page.
• Extracts country names from the table.
• Creates a Pandas DataFrame with a column named "Country".

Installation:

This script requires the following Python libraries:

• requests
• beautifulsoup4
• pandas

You can install them using pip:

pip install requests beautifulsoup4 pandas

Usage:

• Save the code as a Python file (e.g., asian_countries_data.py).
• Run the script from your terminal.

python asian_countries_data.py

This will print a Pandas DataFrame containing the extracted country names.

Output:

The output will be a Pandas DataFrame with a single column named "Country" containing the list of Asian countries retrieved from the Wikipedia page.

Note:

This script assumes the Wikipedia page structure is consistent. Any changes to the page layout might require adjustments to the code for accurate data extraction.

Additional Notes:

• You can enhance this script by adding error handling to gracefully handle network issues or unexpected HTML changes.
• Consider filtering the extracted data based on specific criteria or adding additional columns to the DataFrame based on your needs.
• Feel free to modify and extend this code to suit your specific data extraction requirements.