LinkedIn Data Scraper

This Python script uses Selenium to scrape data from LinkedIn company pages. It logs into LinkedIn with provided credentials, navigates to a specified company's main page, scrolls to load all employees, saves the HTML source to a file, and extracts relevant data into an Excel spreadsheet.

Prerequisites

• Python 3.x
• Selenium WebDriver
• Chrome WebDriver (included for Chrome browser automation)
• openpyxl library for Excel file handling

Installation

1. Clone the repository:

   git clone https://github.com/llsohrabll/LinkedIn-Scrapper
   cd LinkedIn-Scrapper

2. Install dependencies:

   pip install selenium openpyxl

3. Download Chrome WebDriver:

   • Visit ChromeDriver - WebDriver for Chrome and download the appropriate version for your Chrome browser.

4. Place the chromedriver.exe in the same directory as your script.

Usage

1. Run the script:

   python linkedin_scraper.py

2. Follow the prompts to enter your LinkedIn credentials and the company's main page URL.

3. After execution, the script will generate an output.xlsx file containing extracted data.

Notes

• Ensure that you comply with LinkedIn's terms of service and data usage policies when using this script.
• This script assumes you have a valid LinkedIn account and proper permissions to access the company's page.

License

This project is licensed under the MIT License - see the LICENSE file for details.