LinkedIn Email Scraper

A Python automation script that extracts email addresses from comments on any LinkedIn post and saves them to a CSV file.

📌 Features

• 🔍 Extracts email addresses from public LinkedIn post comments
• 💬 Captures full comment text (with optional commenter name)
• ✅ Skips duplicates and plain email-only comments (optional)
• 🗂️ Auto-versioned output files (no overwriting)
• 🖥️ Uses your own Chrome session (no headless or login automation)

⚙️ Requirements

• macOS or Linux (tested)
• Python 3.8 or higher
• Google Chrome (installed)
• ChromeDriver (must match your Chrome version)

🔧 Install Python packages:

pip install selenium pandas

🚀 How to Use

1. Clone or download this repository.

2. Update the post URL in linkedin_scraper.py:

POST_URL = 'https://www.linkedin.com/feed/update/urn:li:activity:YOUR_POST_ID/'

3. Run the script:

python3 linkedin_scraper.py

4. A Chrome window will open:
   • Log in to LinkedIn if needed
   • The script will scroll and extract all visible comments

📂 Output

You’ll get a CSV file like:

linkedin_emails_with_comments.csv

If that file already exists, it auto-generates:

linkedin_emails_with_comments_1.csv
linkedin_emails_with_comments_2.csv

Output Columns:

Author (optional)	Email	Comment
Saurav Mehta	[email protected]	Please connect at saurav@...
—	[email protected]	[email protected]

🛡️ Disclaimer

This script is intended for personal use only.
Scraping LinkedIn at scale may violate their Terms of Service.
Use responsibly and ethically.

🙌 Acknowledgements

• Built with ❤️ by Suraj Verma
• Inspired by creators, mentors, and productivity tools
• Connect on LinkedIn