torontodeveloper/job-application-agent — explained in plain English
Analysis updated 2026-05-18
Automatically tailor a resume PDF to a specific job description before applying.
Fill out an ATS application form like Greenhouse or Lever without typing every field by hand.
Queue up multiple job URLs and process applications one after another, resuming if it crashes.
| torontodeveloper/job-application-agent | 100/awesome-machine-learning | adam-s/car-diagnosis | |
|---|---|---|---|
| Stars | 8 | 8 | 8 |
| Language | Python | Python | Python |
| Last pushed | — | 2024-08-07 | — |
| Maintenance | — | Stale | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 1/5 | 3/5 |
| Audience | general | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires an LLM API key and manually filling out a profile.yaml file with personal details before first use.
Job Application Agent is a tool that automates most of the work involved in applying for jobs, while still leaving the final decision to you. It finds open roles, rewrites your resume to fit each specific job description, turns that into a PDF, and fills out the online application form on sites like Greenhouse, Ashby, and Lever, including dropdown menus and open ended questions such as why you want to work at the company. Once the form is filled in, the agent stops and waits for you to look it over and click submit yourself. It never sends an application on its own. The tool works by first reading a file called profile.yaml, which holds your personal facts, work history, and notes about how you like to write, acting as the single source of truth the agent draws from. It then opens each job listing in its own separate browser window using Playwright, so your regular browser is not tied up, and that window keeps your logins and cookies saved between runs. It reads the structure of the application form directly from the page, and an AI model matches each field to an answer, filling in factual details exactly as given and drafting open ended answers in a voice meant to sound like you. If it does not know an answer, it skips that field rather than guessing. Setup requires Python, installing dependencies through pip, installing a Chromium browser through Playwright, creating your own profile.yaml file, and setting an API key for the AI model you want to use. The README specifically warns against pointing the tool at LinkedIn's Easy Apply feature or any application flow protected by a CAPTCHA, since that goes against those platforms' rules. It also notes that any browser profile data, resumes, or saved applications should stay out of version control, since they contain private session information.
An AI agent that finds jobs, tailors your resume per listing, and fills out application forms in a browser, then pauses so you review and submit it yourself.
Mainly Python. The stack also includes Python, Playwright, Chromium.
License terms are not stated in the README.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
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