Browse / Job hunt / job-search-automation
job-search-automation
mehbul
AI-powered job search pipeline — automatically scrapes LinkedIn daily via Apify, scores roles against my CV using career-ops + Claude, and generates tailored resume PDFs.
Open mehbul/job-search-automation → Matched by file structure only.
Works with any agent
ships AGENTS.md, the cross-tool instruction file.
In its own words
Zero manual searching.
AI-powered end-to-end job search pipeline — scrapes LinkedIn daily via Apify, scores every role A–F against your CV using career-ops + Claude, generates tailored resume PDFs, finds recruiters, preps you for interviews, and tracks every application. Zero manual searching.
What This Does
Instead of manually checking LinkedIn every day, this system does it for you:
You only see roles worth your time. Anything below 4.0/5 gets flagged — the system tells you not to apply.
How It All Connects
This is the full picture — how GitHub Actions, Apify, and Claude Code career-ops work together:
**The handoff file is data/pipeline.md** — GitHub Actions writes job URLs into it every morning, career-ops reads and processes them when you're ready.
Your Daily Routine
Once set up, this is all you do each day:
That's it. The boring part (finding jobs) runs automatically. You only spend time on the interesting part (deciding which ones to pursue).
Full Command Reference
All commands run inside Claude Code (claude) from your project folder.
How the Scoring Works
career-ops evaluates each job across 6 dimensions and assigns a global score from 1–5:
The system never submits an application. You always review before clicking Apply.
What I Added on Top of career-ops
career-ops by @santifer is the AI evaluation engine. I built the automated scraping layer on top:
The repository's own description, then 27% of its README. Read the rest on GitHub ↗
Where it came from
Read from the repository's git tree on 2026-08-17.