Automate Job Applications the Right Way: Fit Scoring with n8n
"Automating job applications" usually means bots that spray résumés, and those often break site terms and produce weak applications. The automation that actually helps is triage: deciding in seconds which jobs deserve your effort.
The workflow
- Form Trigger: paste company, title, URL and the full job description.
- Code: load your master resume and preferences (titles, locations, minimum salary, dealbreakers).
- HTTP Request: the LLM returns JSON with match %, must-haves, matched and missing keywords, red flags and posted salary.
- Code: apply your thresholds (for example, GO at 70 or more, STRETCH at 50–69). Don't let the model decide.
- Gmail plus Google Sheets: email yourself the result and log it.
Free fit-score prompt
Compare this job to my resume. Never invent resume facts; score conservatively. Return JSON: match_pct, method, must_haves, matched_keywords, missing_keywords (must-haves first), red_flags, salary_posted, why. JOB: [ ] RESUME: [ ]
A free lite version of this workflow is being submitted to the n8n template library.
Free: AI Prompt Pack for Wholesalers & Job Seekers
10 copy-paste prompts from our paid packs: seller lead triage, underwriting, objection replies, job fit scoring, honest cover notes and interview prep. Free download (PDF); Gumroad asks for your email so it can send you the file.
Get the free prompt packWant the full system?
The AI Job Search Autopilot scores each job against your real resume, drafts a tailored cover note and bullets (no invented facts), builds interview prep, logs everything to a tracker and reminds you to follow up. No auto-apply and no LinkedIn bots.
See the Job Autopilot: $29FAQ
Does fit scoring replace reading the job?
No. It flags must-haves and red flags quickly so you spend your reading time on the jobs worth it.