Original Scraper by Danny Chrastil (@DisK0nn3cT): https://github.com/DisK0nn3cT/linkedin-gatherer Original tool by Vincent Yiu (@vysec, @vysecurity): https://github.com/vysecurity/LinkedInt.git
pip install -r requirements.txt
[v0.1 BETA 28-08-2020] Additions:
- Properly removed special caracter from email
- Removing title from lastname to properly generate email
- Multiple Company ID supporter with ID choice if required
- Fetching occupation start date from profile
- Add Natural Language Processing techniques on titles to discover groups of similar titles to be stuck into same "department". A department column could be added to the csv and html.
Put in LinkedIn credentials in LinkedInt.cfg Put Hunter.io API key in LinkedInt.cfg Run LinkedInt.py and follow instructions
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Providing you with Linkedin Intelligence
Author: Gimpy
Original version by Vincent Yiu (@vysec, @vysecurity)
[*] Enter search Keywords (use quotes for more percise 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
[*] Automaticly using Hunter IO to determine best Prefix
[!] {first}.{last}
[+] Found first.last prefix