# nicolomantini/LinkedIn-Easy-Apply-Bot

Automate the application process on LinkedIn

Repository: https://github.com/nicolomantini/LinkedIn-Easy-Apply-Bot
Canonical: https://ross.abutalabs.com/products/linkedin-easy-apply-bot
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-11-28T10:22:05+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 54, release rhythm 35, longevity 100
- inputs: {"age_days": 2825, "days_push": 278, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1143, forks 418 (observed 2026-08-28T04:03:44.913007+00:00)

## What it is
A Python bot that automates applying to jobs on LinkedIn using the Easy Apply feature. It reads search preferences, resume uploads, and blacklists from a config file and submits applications automatically.

## Use cases
- automatically apply to hundreds of LinkedIn jobs
- bulk apply with Easy Apply while I sleep
- auto-fill job applications with my resume and cover letter
- filter out blacklisted companies when applying on LinkedIn
- search jobs by position, location, and salary automatically

## When to choose
- you want hands-off bulk applications on LinkedIn Easy Apply postings
- you prefer a simple config-file-driven Python script
- you need custom document uploads matched to application form fields

## When to avoid
- you need a GUI or managed SaaS job-application service
- you are concerned about violating LinkedIn's terms of service or account restrictions
- you need support for non-Easy-Apply external application flows

## Facets
- artifact type: application
- maturity: active
- function: workflow-automation, web-scraping
- domain: hr, developer-tools
- platform: python, cross-platform
- tags: linkedin, job-search, selenium-bot, easy-apply, automation, linux

## Member repositories
- nicolomantini/LinkedIn-Easy-Apply-Bot (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.913007+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:34:56.581932+00:00, confidence not recorded.
  - readme: https://github.com/nicolomantini/LinkedIn-Easy-Apply-Bot (fetched 2026-08-28T04:03:44.913007+00:00, sha a1fd1643a4ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.