Profile Tracker

Profile Tracker helps you monitor changes in job titles and company affiliations for a list of LinkedIn profiles. It compares current profile data against your records and generates reports of any changes detected.

Features

• 🔍 Automated profile validation against LinkedIn
• 📊 CSV-based input and output
• 🖥️ User-friendly GUI for file selection
• 🔐 Secure credential handling
• 📝 Detailed change tracking
• 🐞 Debug mode for troubleshooting

Prerequisites

• Python 3.7+
• Chrome browser installed
• ChromeDriver matching your Chrome version
• LinkedIn account with login credentials

  pip install pandas selenium tkinter

Input CSV Format

Your input CSV must contain the following columns:

• Company Name
• First Name
• Last Name
• Job Title
• LinkedIn URL

Examples

First Name,Last Name,Company Name,Job Title,LinkedIn URL
John,Doe,Tech Corp,Software Engineer,https://www.linkedin.com/in/johndoe
Jane,Smith,Data Inc,Data Scientist,https://www.linkedin.com/in/janesmith

Usage

1. Clone the repository:

https://github.com/XenosWarlocks/ProfileTracker.git

2. Run the script:

python linkedin_validator.py

3. Follow the GUI prompts to:

• Select your input CSV file
• Enter LinkedIn credentials
• Wait for the validation process
• Review the generated report

Output

The tool generates a timestamped CSV file (linkedin_updates_YYYYMMDD_HHMMSS.csv) containing:

• First Name
• Last Name
• Original Company
• Original Job Title
• New Company
• New Job Title
• LinkedIn URL
• Update Date

Debug Mode

Enable debug mode for detailed logging:

validator = LinkedInValidator()
validator.enable_debug()
validator.run()

Key Classes and Methods

LinkedInValidator

• __init__(): Initializes the validator and GUI components
• validate_csv_file(): Handles CSV file selection and validation
• verify_profiles(): Performs the profile verification process
• save_updates(): Generates the output report
• cleanup(): Handles resource cleanup

Best Practices

• Rate Limiting: Add delays between profile checks to avoid - LinkedIn's rate limits
• Error Handling: Enable debug mode when troubleshooting issues
• Data Privacy: Never commit LinkedIn credentials to version control
• CSV Backup: Keep backups of your input CSV files