LinkedIn Auto-Apply Bot

Setup & Usage Guide — Jayesh Jain

1. Install dependencies

pip install -r requirements.txt playwright install chromium

2. Run now (one-time)

python bot.py --now

3. OR run with daily 9 AM scheduler

python bot.py

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📁 Files in this folder

File	Purpose
bot.py	Main automation script
config.py	All your personal settings & CTC details
requirements.txt	Python dependencies
dashboard.html	Visual log viewer (open in browser)
answers_memory.json	Auto-created — stores remembered answers
application_log.json	Auto-created — log of every application
linkedin_cookies.json	Auto-created — saved login session
bot_debug.log	Auto-created — detailed debug log

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⚙️ One-Time Setup

1. Install Python 3.10+

Download from https://python.org if not installed.

2. Install dependencies

Open a terminal in this folder and run:

pip install -r requirements.txt
playwright install chromium
OR
python -m playwright install chromium

3. Verify your resume path

Open config.py and confirm:

RESUME_PATH = r"D:\Personal\My Resumes\Resume - Jayesh Jain - 11092025.pdf"

Change it if your resume is in a different location.

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🚀 Running the Bot

Option A — Run now (one-time)

python bot.py --now

Option B — Run with daily scheduler (recommended)

python bot.py

This starts the scheduler. The bot will:

1. Run immediately on launch
2. Then run every day at 9:00 AM IST

Leave the terminal open (or run in background).

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🔐 First-Time Login

On first run, a browser window opens. Log into LinkedIn manually, then press ENTER in the terminal. Cookies are saved — you won't need to log in again unless they expire (~30 days).

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❓ Unknown Field Prompts

If the bot encounters a field it doesn't recognise (e.g. "What is your notice period in days?"), it will:

1. Pause and ask you in the terminal
2. Remember your answer in answers_memory.json
3. Reuse that answer automatically for all future similar questions

You can also pre-add answers to answers_memory.json manually:

{
  "what is your notice period in days?": "60",
  "do you have a degree in computer science?": "No, but I have 9 years experience"
}

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📊 Viewing Your Dashboard

1. Open dashboard.html in any browser
2. Click Load Log File and select application_log.json
3. See stats + searchable table of all applications

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📋 Your Pre-configured Profile

Field	Value
Name	Jayesh Jain
Phone	08087528912
Email	jayeshjain32@gmail.com
Experience	9 years
Current CTC	29.18 LPA Fixed
Expected CTC	42 LPA Fixed
Notice Period	60 days
Location	Pune, India
Work Auth	Authorized to work in India

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⚠️ Important Notes

• LinkedIn may detect bots — the script uses human-like delays (SLOW_MO = 50ms) and a real browser, reducing this risk
• If LinkedIn shows a CAPTCHA, complete it manually in the open browser window
• For External Apply jobs, the bot does a best-effort form fill; complex multi-page company portals are logged as manual_review
• Run config.py changes take effect on the next bot run
• To change schedule time, edit RUN_TIME = "09:00" in config.py

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🛠 Customising Known Answers

Open bot.py and find the KNOWN dictionary (~line 85). Add more keyword → answer pairs:

"java":      "Yes, 9 years Java experience",
"spring":    "Yes, 7 years Spring Boot",
"aws":       "Familiar — 1 year Azure AKS equivalent",

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📞 Support

For issues, check bot_debug.log for detailed error traces.