Sponsor Open Source Tooling

• Feel free to sponsor me for maintaining the tool: https://github.com/sponsors/vysecurity

Disclaimer

• The project is to be used for educational and testing purposes only.

Authors

• LinkedInt by Vincent Yiu (@vysecurity): https://www.vincentyiu.com | https://vysecurity.rocks
• Original Scraper by Danny Chrastil (@DisK0nn3cT): https://github.com/DisK0nn3cT/linkedin-gatherer

Contributors:

• Leesoh
• harshil-shah004

Installation

git clone https://github.com/vysecurity/LinkedInt
cd LinkedInt
pip install -r requirements.txt

Change Log

[v1.1 27-03-2021]

Fixes: * Fixed the authentication flow * Fixed hunter API demo key - removed

Additions: * Added better looking missing image value for the profiles with no photo. * Embedded all images into the HTML file to allow for offline viewing. * Added credits

[v0.1 BETA 12-07-2017]

Additions: * UI Updates * Constrain to company filters * Addition of Hunter for e-mail prediction

Usage

1. Put in LinkedIn credentials in LinkedInt.cfg
2. Put Hunter.io API key in LinkedInt.cfg
3. Run LinkedInt.py and follow instructions (example below).

Example

Using General Motors as the target as they have a bug bounty program.

██╗     ██╗███╗   ██╗██╗  ██╗███████╗██████╗ ██╗███╗   ██╗████████╗
██║     ██║████╗  ██║██║ ██╔╝██╔════╝██╔══██╗██║████╗  ██║╚══██╔══╝
██║     ██║██╔██╗ ██║█████╔╝ █████╗  ██║  ██║██║██╔██╗ ██║   ██║
██║     ██║██║╚██╗██║██╔═██╗ ██╔══╝  ██║  ██║██║██║╚██╗██║   ██║
███████╗██║██║ ╚████║██║  ██╗███████╗██████╔╝██║██║ ╚████║   ██║
╚══════╝╚═╝╚═╝  ╚═══╝╚═╝  ╚═╝╚══════╝╚═════╝ ╚═╝╚═╝  ╚═══╝   ╚═╝

Providing you with Linkedin Intelligence
Author: Vincent Yiu (@vysec, @vysecurity)
Original version by @DisK0nn3cT
[*] Enter search Keywords (use quotes for more precise results)
"General Motors"
[*] Enter filename for output (exclude file extension)
generalmotors
[*] Filter by Company? (Y/N):
Y
[*] Specify a Company ID (Provide ID or leave blank to automate):
[*] Enter e-mail domain suffix (eg. contoso.com):
gm.com
[*] Select a prefix for e-mail generation (auto,full,firstlast,firstmlast,flast,first.last,fmlast):
auto
[*] Automatically using Hunter IO to determine best Prefix
[!] {first}.{last}
[+] Found first.last prefix

Output (HTML):