This project contains a set of Python scripts that automate the process of searching for LinkedIn profiles based on the names provided in an input CSV file, extracting specific information from the profiles, and storing the results in an output CSV file.

The project consists of the following files and directories:

linkedin-profile-crawler/
├── constants.py                 # Contains credentials and constants
├── crawler.py                   # Main script for crawling LinkedIn profiles
├── input_data.csv               # CSV file containing names to search for
├── notfound_data.csv            # CSV file for profiles that couldn't be found
├── output_data.csv              # CSV file containing the crawled data
├── README.md                    # This README file
├── requirements.txt             # List of Python package dependencies
└── utils/
    ├── department_separator.py  # Utility script for department separation
    ├── extracted_content.json   # JSON file with extracted content
    ├── __init__.py              # Makes utils a Python package
    ├── students_separator.py    # Utility script for student separation
    └── teacher_separator.py     # Utility script for teacher separation

1. Create a LinkedIn account if you do not already have one.

2. Clone this repository to your local machine.

3. Create a constants.py file with your LinkedIn credentials and other constants.

   Example constants.py:

   email = '[email protected]'
   password = 'your_password'

4. Install the required Python packages using the requirements.txt file:

   pip install -r requirements.txt
   

   The most important packages are selenium and beautifulsoup4.

1. Ensure you have a input_data.csv file in the root directory with the names you wish to search on LinkedIn.
2. Run the crawler.py script:

   python crawler.py
   

3. After the script finishes, check the output_data.csv for successfully found profiles and notfound_data.csv for profiles that could not be found on LinkedIn.

• 📂: Indicates a directory or file
• 🛠️: Represents the setup process
• 🚀: Denotes the action of running the script

If you encounter any problems or have questions, feel free to contact me by email at [email protected] or reach out on Telegram at navid_falah.