The LinkedIn Job Scraper is a powerful tool for extracting job information from LinkedIn. To make it more user-friendly, we can create a GUI executable that can be run on a Linux system. This guide will walk you through the steps to create an executable GUI for the LinkedIn scraper using Git Clone and PyInstaller.

Creating an Executable GUI for LinkedIn Scraper on Linux

Prerequisites

• Ensure Python and pip are installed on your system.
• Install Git if you haven't already: sudo apt-get install git (for Ubuntu-based systems) or sudo yum install git (for RPM-based systems).

Step 1: Clone the Repository

• Open a terminal and run: git clone https://github.com/fa5tworm/linkedin-job-scraper.git
• Navigate to the cloned repository: cd linkedin-job-scraper

Step 2: Install Required Packages

• Install the required packages using pip: pip install tkinter pandas requests beautifulsoup4 geonamescache

Step 3: Freeze the Script using PyInstaller

• Install PyInstaller: pip install pyinstaller pyinstaller-hooks-contrib
• Freeze the script using PyInstaller: pyinstaller --onefile --windowed linkedin.py This will create a dist folder containing the executable file.

Step 4: Run the Executable

• Navigate to the dist folder and run the executable file: cd dist and then ./linkedin The GUI should now appear, and you can interact with it to extract LinkedIn job info.

Tips and Variations

• Add an Icon to Your Executable: Use the --icon option with PyInstaller: pyinstaller --onefile --windowed --icon=icon.ico linkedin.py
• Create a Standalone Executable: Use the --bundle option: pyinstaller --onefile --windowed --bundle linkedin.py
• Create a 32-bit Executable on a 64-bit System: Use the --platform option: pyinstaller --onefile --windowed --platform=linux32 linkedin.py Remember to adjust the script and PyInstaller options according to your specific needs.

Note: Make sure to replace linkedin.py with the actual script file name if it's different.