Applymatic — Automate Your Job Applications

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Applymatic is a Python job application automation tool that scrapes job listings and automatically submits applications on your behalf. Built with Playwright and Streamlit, it currently supports LinkedIn Easy Apply — handling multi-page forms, caching answers, and matching your profile to form fields so you never type the same answer twice. If you've been looking for a Playwright LinkedIn scraper or a reliable way to automate job applications at scale, Applymatic is built for that, with more platforms on the way. It runs cross-platform across Windows, Mac, and Linux.

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What Applymatic Does

• Scrapes job listings — currently supports LinkedIn; searches by keyword, location, distance, date posted, and Easy Apply filter
• Auto-fills and submits Easy Apply forms — handles text inputs, dropdowns, radio buttons, location autocomplete, and multi-page applications
• Caches your answers — saves responses to questions.json so repeated questions are answered automatically
• Matches your profile — maps profile.json fields (name, phone, salary, work authorization, years of experience by technology) directly to form fields
• Three operating modes:
  • Scrape only — find and save jobs to CSV without applying
  • Scrape and apply — search then immediately apply in one run
  • Apply from CSV — apply to a saved list of jobs at any time

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Bot Detection Avoidance

Applymatic supports two browser connection modes to reduce the chance of platforms flagging your activity:

• Connect to existing browser (recommended) — attach to an already logged-in Chrome or Edge instance via Chrome DevTools Protocol (CDP). LinkedIn sees your normal browser profile, cookies, and session history.
• Launch new Chromium instance — Playwright launches a fresh browser with a realistic user agent. Sessions are saved to session.json after first login so subsequent runs skip the login step.

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Setup

Requirements: Python 3.8+ installed on your machine.

1. Clone the repo:

git clone https://github.com/yourusername/applymatic.git
cd applymatic

2. Create and activate a virtual environment:

Windows:

python -m venv venv
venv\Scripts\activate

Mac / Linux:

python3 -m venv venv
source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Install the Chromium browser:

playwright install chromium

5. Run the app:

streamlit run app.py

Open your browser at http://localhost:8501

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How to Automate Job Applications

Set Up Your Profile

On first run, Applymatic automatically creates a profile.json file in the project folder. Open it and fill in your details — this is what gets mapped to application form fields:

{
  "first_name": "Jane",
  "last_name": "Doe",
  "email": "jane@example.com",
  "phone": "5551234567",
  "phone_country_code": "1",
  "location": "New York, NY",
  "linkedin": "https://linkedin.com/in/janedoe",
  "desired_salary": "100000",
  "work_authorization": "Yes",
  "requires_sponsorship": "No",
  "notice_period": "2 weeks",
  "gender": "Prefer not to say",
  "veteran_status": "No",
  "disability_status": "No",
  "years_experience_default": "2",
  "years_experience_technologies": {
    "python": "3",
    "javascript": "2"
  },
  "default_answer": "No"
}

Find Your Geo ID

LinkedIn uses a numeric Geo ID to identify locations. To find yours:

1. Go to linkedin.com/jobs
2. Type your city in the Location bar and select it
3. Copy the number after geoId= in the URL

Example:

https://www.linkedin.com/jobs/search/?geoId=90000070

→ Geo ID for New York City is 90000070

Paste this into the Geo ID field in the app's Search Parameters section.

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Project Structure

applymatic/
├── app.py            # Core logic, browser management, Playwright orchestration
├── ui.py             # Streamlit UI
├── applyClass.py     # Batch apply logic with stall detection
├── formFiller.py     # Form detection and field filling
├── loginClass.py     # Login handler with session persistence
├── questionCache.py  # Caches Q&A and manages profile.json
├── toolbox.py        # URL builder, scraper, CSV utilities, human delay
└── requirements.txt  # Python dependencies

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Security Notes

The following files are in .gitignore and are never committed to the repo:

File	Contents
cred.json	Login credentials
profile.json	Your personal info
jobs.csv	Scraped job listings
questions.json	Cached application answers
locations.json	Geo ID cache
session.json	Saved browser session

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Tech Stack

• Python 3
• Streamlit
• Playwright for Python

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⚠️ Disclaimer

This tool interacts with LinkedIn in ways that may violate their Terms of Service. Your account could be restricted or banned. Use at your own risk. The author is not responsible for any consequences resulting from its use.

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GitHub Topics

linkedin-automation job-search playwright python streamlit easy-apply job-bot career-automation linkedin-scraper job-application-bot