I just landed a new job and it got me thinking: what if I could automate the entire job search? In this build, I walk through an intermediate n8n workflow that scrapes LinkedIn jobs with Apify, uses AI agents to decide whether I’m actually a fit, and then pushes the best matches straight to Telegram. The whole point is cutting out the daily “scroll + read + guess” loop and replacing it with a system that runs on a schedule (plus a manual trigger for testing or mid-day refreshes). We start with two triggers (scheduled at 8am and manual for testing), then run an Apify actor (official n8n node) to scrape jobs using filters like location, work type (remote/hybrid/on-site), job type, and “published in the last 24 hours.” After scraping, I clean the payload with an Edit Set node, compare against a Google Sheet using Compare Datasets (so we don’t re-process duplicates), and do a basic title filter (contains keywords like analyst/engineer/data). Then the fun part: two AI agents. The first agent is a cheap “yes/no” gatekeeper that checks the job description against my candidate profile and defaults to “no” if unsure. Only the “yes” jobs go to the second agent, which generates missing skills, a fit summary, and a cover letter draft (even though I think cover letters are pointless). Finally, we append the job to Google Sheets and send a structured Telegram message with the key details and links.