LinkedIn Job Scraper

This project provides a Python script to automate searching for jobs on LinkedIn and scraping relevant data into a JSON file.

Table of Contents

• Features
• Requirements
• Installation
• Usage
• Video Demonstration
• Addtional Notes

Features

• Conducts job searches on LinkedIn based on user-specified keywords and city.
• Extracts essential job details (title, company name, location, and URL) from search results.
• Saves scraped data in a well-formatted JSON file.

Requirements

• Python 3 (tested with 3.x)
• Selenium WebDriver https://www.selenium.dev/documentation/
• ChromeDriver (download the appropriate version for your OS from https://chromedriver.chromium.org/downloads)
• A JSON file named config.json containing your LinkedIn login credentials and desired search parameters:

{
  "email": "your_linkedin_email",
  "password": "your_linkedin_password",
  "keyword": "your_desired_job_keyword",
  "city": "your_desired_city"
}

Installation

1. Download and install ChromeDriver for your operating system.

2. Install the required Python libraries:

   pip install selenium

Usage

1. Create a config.json file in the same directory as this script, filling in your LinkedIn credentials and search preferences.

2. Run the script:

   main.py  # Assuming the script is named main.py

Output

• The script will display job details (title, company, location, URL) on the console during scraping.
• A JSON file named python_job_applications.json will be created in the same directory, containing the scraped data in a structured format.

Video Demonstration

LinkedIN_Selenium_WebScraping.mp4

Additional Notes

• This script is for educational purposes only. Use it responsibly and in accordance with LinkedIn's terms of service.
• Consider adding error handling for potential issues during the scraping process.
• You may need to update the script for any significant changes in LinkedIn's website structure.

Feel free to contribute or ask questions!