devtools

Auto_job_applier_linkedIn: Automate Job Applications

Name: Auto_job_applier_linkedIn: Automate Job Applications
Author: GodsScion

Simplify job hunting with Auto_job_applier_linkedIn.

2,656 stars741 forksPythonGuide quality 8/10Updated 4/13/2026100% free · open source

What it does

Auto_job_applier_linkedIn automates the process of applying for jobs on LinkedIn based on user-defined filters and criteria.

When to use it

•You're a founder looking to recruit talent for your startup and want to automate the initial application screening process.
•You're a busy professional looking to transition into a new role and want to quickly apply to multiple job openings on LinkedIn.
•You're a recruiting agency looking to streamline your job application process for multiple clients.

Ready-to-paste prompt

python auto_applier.py --job-title 'Software+Engineer' --location 'New+York' --experience '5+'

Heads up: You need to have a LinkedIn API token and a Python environment installed on your system, with the required libraries and dependencies installed, including selenium and linkedin-api.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/auto-job-applier-linkedin && curl -fsSL https://workflowstacks.com/api/skills/auto-job-applier-linkedin/claude-skill -o ~/.claude/skills/auto-job-applier-linkedin/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Auto_job_applier_linkedIn: Automate Job Applications works

Codeflow

Free to inspect

Auto_job_applier_linkedIn: Automate Job Applications is a medium Python project (~5.7k lines across 25 code files, plus 5 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit a month ago, MIT license, has a test suite.

Size

Medium codebase

~5.7k lines · 25 code files · 48 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

No API keys detected

Python 76%HTML 16%Shell 4%Batchfile 2%PowerShell 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
app.py
Where the program starts running
3
requirements.txt
Dependencies and the commands it exposes

What's in each folder

modules/Sub-packages / plugins17 files

templates/Templates2 files

docs/Documentation1 files

config/Configuration7 files

setup/Folder3 files

tests/Tests — proof it works5 files

.github/CI / automation (GitHub Actions)1 files

READMEHas testsDocumentedNo CIMIT licenseUpdated this month