Prerequisites: Basic understanding of using a computer and internet browsing. Familiarity with spreadsheet software (like Google Sheets). A foundational grasp of JSON data structure (a crash course is recommended if you're a beginner). An OpenAI/ChatGPT account (paid subscription required). A n8n account (free to get started). An RSS feed reader app. Learning Sequence: Setting up the RSS Feed: Learn how to use an RSS app to create a feed for job listings on LinkedIn, specifying your search criteria (e.g., "SEO positions in Canada"). Understand how to copy the generated RSS feed URL. Integrating with n8n (Workflow Automation): Learn the basics of n8n workflow building. This includes adding nodes, connecting them, and understanding the flow of data. Import the RSS feed URL into n8n. Data Extraction and Google Sheets Integration: Learn to use n8n to pull data from the RSS feed (title, job description, link, date, etc.) and automatically populate a Google Sheet. Understand how to use unique identifiers (like the job URL) to prevent duplicate entries and update existing records. Leveraging OpenAI/ChatGPT for Enhanced Data Extraction: Learn how to connect your OpenAI account to n8n. Create prompts to use ChatGPT to extract additional information from the job descriptions (company name, location, job type, benefits, etc.) that wasn't available in the RSS feed. Format the output as JSON. Job Listing Rating System: Design a system within n8n and ChatGPT to rate job listings based on how well they match your skills and experience (using a 5-point scale). This involves defining clear criteria for scoring. Automated Cover Letter Generation: Use ChatGPT to generate customized cover letters based on the extracted job information and your resume. Structure the prompt to ensure consistent and predictable output. Integrating All Modules: Combine all the n8n modules (RSS feed, data extraction, ChatGPT for additional info, rating system, cover letter generation) to create a complete automated job application workflow. Learn how to handle errors and troubleshoot potential issues. Scaling the System (Advanced): Learn how to modify the workflow to handle multiple RSS feeds (e.g., for different job types or locations) by using arrays and looping through multiple feeds. Practice Suggestions: Start with a small number of job listings to test each module individually before integrating them. Experiment with different ChatGPT prompts to optimize data extraction and cover letter generation. Regularly review and refine your n8n workflow to improve efficiency and accuracy. Consider creating sample data (mock JSON) to test your workflow before applying it to real job listings. Don't be afraid to experiment and make mistakes—learning from errors is a crucial part of the process. Utilize the community resources if you get stuck. Gradually increase the complexity of your workflow as you gain confidence and experience.