LinkoMate - LinkedIn Job Scraper

A Python-based LinkedIn job scraper that uses Selenium with undetected-chromedriver to extract job listings while maintaining your browser session.

Features

• Uses your existing Chrome profile to maintain login sessions
• Scrapes job listings including:
  • Job Title
  • Company Name
  • Location
  • Job Description
• Saves results to CSV file
• Human-like delays to avoid detection
• Clean command-line interface

Requirements

• Python 3.12+
• Chrome Browser
• Required Python packages (see requirements.txt)

Installation

1. Clone the repository:

git clone https://github.com/CreatorGhost/LinkoMate.git
cd LinkoMate

2. Install required packages:

pip install -r requirements.txt

Usage

Run the script:

python linkedin_job_scraper.py

Follow the prompts to:

1. Enter job keyword (e.g., "Python Developer")
2. Enter location (optional)
3. Specify number of pages to scrape

The script will:

• Launch Chrome with your profile
• Navigate to LinkedIn Jobs
• Search for the specified job
• Scrape the listings
• Save results to a CSV file

Output

Results are saved to a CSV file with the format: linkedin_jobs_YYYYMMDD_HHMMSS.csv

Notes

• The script uses a dedicated Chrome profile directory (linkmate_chrome_profile/) to maintain session data
• First run will require LinkedIn login
• Subsequent runs will use the saved session