Added data extraction script with CSV and Excel export

[Emmanuel10701]

Issue: Improve Data Extraction & Handling
Description
Currently, the data extraction script fetches revenue data from a webpage and stores it in CSV and Excel files. However, some improvements are needed:

✅ Enhancements Required:

🔍 Better Error Handling: Handle missing or inconsistent data to prevent script failures.
📊 Data Formatting: Convert revenue values into a standard numerical format (e.g., remove $ and B to store as billions).
🚀 Optimize Performance: Improve parsing logic for efficiency.
🛠 Add Logging: Provide meaningful error messages and logs for debugging.
🎨 Code Cleanup: Refactor code for readability and maintainability.
💡 Suggestions:

Use try-except to handle errors gracefully.
Implement regular expressions (re) for better data parsing.
Add logging (logging module) to track errors.
✨ Proposed Solution
A PR will be created to address these improvements and ensure the extracted data is accurate, formatted correctly, and efficiently stored.

🛠 Steps to Reproduce
1️⃣ Run the current script.
2️⃣ Check for any missing values or incorrectly formatted data.
3️⃣ Observe any performance issues or parsing errors.

🎯 Expected Outcome
✔ The script should extract clean, structured, and correctly formatted data without errors.
✔ The revenue should be stored as numerical values for analysis.
✔ The script should handle missing values smoothly.

📌 Priority: High 🔥
🎯 Goal: Improve reliability & efficiency of the script.

Would you like me to add a Pull Request (PR) template as well? 🚀😃