Overview

The Job Application Automation project is an ongoing initiative designed to streamline and automate job applications using Python. The system leverages web scraping, automated form filling, and AI-based content customization to enhance efficiency and reduce manual effort.

Repository Structure

GitHub Repository: Job Application Automation

Core Directories & Files:

• config/config.yaml: Contains system configuration settings.
• data/: Stores job-related datasets and scraped listings.
• scripts/: Houses automation scripts for job search, application submission, and data processing.

Dependencies & Installation

This project requires the following dependencies:

pip install selenium playwright beautifulsoup4 pandas openai pyyaml

Key Technologies:

• Selenium & Playwright – For web scraping and automated form submission.
• BeautifulSoup – Parsing job listings from HTML pages.
• GPT-4 (OpenAI API) – AI-generated cover letters and resume tailoring.
• SQLite/Pandas – Managing job application data.
• PyYAML – Handling configuration files.

Configuration

The config.yaml file contains user preferences and automation parameters:

job_sites:
  linkedin: true
  indeed: false
  glassdoor: true
keywords:
  - "Product Manager"
  - "Data Scientist"
location: "Remote"
resume_path: "data/resume.pdf"
cover_letter_template: "data/cover_letter.txt"