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https://github.com/xenoswarlocks/profiletracker
An automated tool for tracking and validating LinkedIn profile changes using Python and Selenium WebDriver.
https://github.com/xenoswarlocks/profiletracker
Last synced: 27 days ago
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An automated tool for tracking and validating LinkedIn profile changes using Python and Selenium WebDriver.
- Host: GitHub
- URL: https://github.com/xenoswarlocks/profiletracker
- Owner: XenosWarlocks
- License: other
- Created: 2024-10-23T15:05:43.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-24T05:15:54.000Z (3 months ago)
- Last Synced: 2024-10-29T16:00:03.972Z (3 months ago)
- Language: Python
- Size: 25.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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
```bash
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
```csv
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:
```python
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