Linkedin intelligence to scrap employee profiles for further password guessing or phishing attacks.
Original Scraper - @DisK0nn3ct (https://github.com/DisK0nn3cT/linkedin-gatherer)
Updated Scraper - @vysecurity (https://github.com/vysecurity/LinkedInt/blob/master/LinkedInt.py)
Modified by @bigb0ss
- Simplified and cleaned up some script outputs.
- Added random delays (0-3) between scraping pages.
- Modified only output file to .csv.
- Auto companyID search seemed to be unrealiable for some companies that have multiple IDs --> Modified to provide exact companyID from Linkedin. Go to the target company's "See all employees" page and use the "facetCurrentCompany=" values at a time.
git clone https://github.com/bigb0sss/LinkedinMama.git
pip install -r requirements.txt$ python LinkedinMama.py -h
usage: LinkedinMama.py [-h] [-k KEYWORDS] [-c COMPANYID] [-e EMAIL]
[-n NAMING]
[*] Linkedin User Scraper
optional arguments:
-h, --help show this help message and exit
-k KEYWORDS, --keywords KEYWORDS
Keywords to search & create output to file
-c COMPANYID, --companyid COMPANYID
facetCurrentCompany= parameter value
-e EMAIL, --email EMAIL
Company email domain
-n NAMING, --naming NAMING
User naming scheme: [0] Auto (hunter.io) [1] FirstLast
[2] FirstMiddleLast [3] FLast [4] FirstL [5]
First.Last [6] Last.First- Add your Linkedin credentials and Hunter.io API keys into LinkedinMama.cfg file.
- Run the script
python LinkedinMama.py
_ _____ _ _ _ ________ _____ _____ _ _ __ __ __ __
| | |_ _| \ | | |/ / ____| __ \_ _| \ | | \/ | /\ | \/ | /\
| | | | | \| | ' /| |__ | | | || | | \| | \ / | / \ | \ / | / \
| | | | | . ` | < | __| | | | || | | . ` | |\/| | / /\ \ | |\/| | / /\ \
| |____ _| |_| |\ | . \| |____| |__| || |_| |\ | | | |/ ____ \| | | |/ ____ \
|______|_____|_| \_|_|\_\______|_____/_____|_| \_|_| |_/_/ \_\_| |_/_/ \_\
[bigb0ss]
[*] Linkedin Intelligence
[*] Original Scraper by @DisK0nn3ct
[*] Updated Scraper by @vysecurity
[*] This Scraper by @bigb0ss
[*] Enter Linkedin Search Keyword (eg. "google"): optiv <-- Providing the keyword to search
[+] Creating Output File: optiv.csv
[*] Provide "facetCurrentCompany=" ID: 9291 <-- Providing the companyID
[+] Using CompanyID: 9291
[*] Enter Email Domain (eg. gmail.com): optiv.com <-- Providing the email domain
[*] Naming Scheme for the Company
[0] Auto (hunter.io)
[1] FirstLast
[2] FirstMiddleLast
[3] FLast
[4] FirstL
[5] First.Last
[6] Last.First
[!] Select: 0. <-- Selecting the naming scheme used for the email addresses
[*] Hunter.io is doing the job for you
[+] {first}.{last}
[+] Found first.last Naming Scheme
[+] Welcome to Linkedin!
[+] Login Success as <YOUR LINKEDIN USER>
[+] Auth Cookie: AQED...<REDACTED>...SvJxf
[+] 145 Results Found
[*] Fetching 4 Pages
[+] Fetching page 0 with 40 results
[+] Fetching page 1 with 40 results
[+] Fetching page 2 with 40 results
[+] Fetching page 3 with 25 results
[+] Linkedin Scrapping Completed.OR
python LinkedinMama.py -k optiv -c 9291 -e optiv.com -n 0
_ _____ _ _ _ ________ _____ _____ _ _ __ __ __ __
| | |_ _| \ | | |/ / ____| __ \_ _| \ | | \/ | /\ | \/ | /\
| | | | | \| | ' /| |__ | | | || | | \| | \ / | / \ | \ / | / \
| | | | | . ` | < | __| | | | || | | . ` | |\/| | / /\ \ | |\/| | / /\ \
| |____ _| |_| |\ | . \| |____| |__| || |_| |\ | | | |/ ____ \| | | |/ ____ \
|______|_____|_| \_|_|\_\______|_____/_____|_| \_|_| |_/_/ \_\_| |_/_/ \_\
[bigb0ss]
[*] Linkedin Intelligence
[*] Original Scraper by @DisK0nn3ct
[*] Updated Scraper by @vysecurity
[*] This Scraper by @bigb0ss
[+] Creating Output File: optiv.csv
[+] Using CompanyID: 9291
[*] Hunter.io is doing the job for you
[+] {first}.{last}
[+] Found first.last Naming Scheme
[+] Welcome to Linkedin!
[+] Login Success as <YOUR LINKEDIN USER>
[+] Auth Cookie: AQED...<REDACTED>...SvJxf
[+] 145 Results Found
[*] Fetching 4 Pages
[+] Fetching page 0 with 40 results
[+] Fetching page 1 with 40 results
[+] Fetching page 2 with 40 results
[+] Fetching page 3 with 25 results
[+] Linkedin Scrapping Completed.
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