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https://github.com/initstring/linkedin2username
OSINT Tool: Generate username lists for companies on LinkedIn
https://github.com/initstring/linkedin2username
hacking osint penetration-testing pentesting
Last synced: about 1 month ago
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OSINT Tool: Generate username lists for companies on LinkedIn
- Host: GitHub
- URL: https://github.com/initstring/linkedin2username
- Owner: initstring
- License: mit
- Created: 2018-02-22T21:21:15.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-01-15T23:06:39.000Z (8 months ago)
- Last Synced: 2024-07-25T04:36:16.667Z (about 2 months ago)
- Topics: hacking, osint, penetration-testing, pentesting
- Language: Python
- Size: 265 KB
- Stars: 1,176
- Watchers: 33
- Forks: 178
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-hacking-tools - linkedin2username - OSINT Tool: Generate username lists for companies on LinkedIn (Asset Discovery / Email Discovery)
- Awesome-Asset-Discovery - linkedin2username
README
# linkedin2username
OSINT Tool: Generate username lists from companies on LinkedIn.
This is a pure web-scraper, no API key required. You use your valid LinkedIn username and password to login, it will create several lists of possible username formats for all employees of a company you point it at.
Here's what you get:
- first.last.txt: Usernames like Joe.Schmoe
- f.last.txt: Usernames like J.Schmoe
- flast.txt: Usernames like JSchmoe
- firstl.txt: Usernames like JoeS
- first.txt Usernames like Joe
- lastf.txt Usernames like SchmoeJ
- rawnames.txt: Full name like Joe Schmoe
- metadata.txt CSV file which is full_name,occupation
Optionally, the tool will append @domain.xxx to the usernames.
## Warnings
Do not blame me if your LinkedIn account gets rate limited, or even banned. This is a security research tool - use it only after reading the code and fully understanding what it is doing.
I have not heard of any account bans since the tool was written, but rate limiting does occasionally kick in when the "commercial search limit" is hit. That has been temporary so far (measured monthly).
## Using the tool
### Pre-requisites
Install the Python dependencies with `pip3 install -r ./requirements.txt`.
You'll also need Chrome, Chromium, or Firefox installed in typical paths that can be discovered by Selenium. A web browser will be spawned temporarily to handle the login.
### Full usage
```
usage: linkedin2username.py [-h] -c COMPANY [-n DOMAIN] [-d DEPTH]
[-s SLEEP] [-x PROXY] [-k KEYWORDS] [-g] [-o OUTPUT]
OSINT tool to generate lists of probable usernames from a given company's LinkedIn page.
This tool may break when LinkedIn changes their site.
Please open issues on GitHub to report any inconsistencies.
optional arguments:
-h, --help show this help message and exit
-c COMPANY, --company COMPANY
Company name exactly as typed in the company linkedin profile page URL.
-n DOMAIN, --domain DOMAIN
Append a domain name to username output.
[example: "-n targetco.com" would output [email protected]]
-d DEPTH, --depth DEPTH
Search depth (how many loops of 25). If unset, will try to grab them
all.
-s SLEEP, --sleep SLEEP
Seconds to sleep between search loops. Defaults to 0.
-x PROXY, --proxy PROXY
Proxy server to use. WARNING: WILL DISABLE SSL VERIFICATION.
[example: "-p https://localhost:8080"]
-k KEYWORDS, --keywords KEYWORDS
Filter results by a a list of command separated keywords.
Will do a separate loop for each keyword,
potentially bypassing the 1,000 record limit.
[example: "-k 'sales,human resources,information technology']
-g, --geoblast Attempts to bypass the 1,000 record search limit by running
multiple searches split across geographic regions.
-o OUTPUT, --output OUTPUT
Output Directory, defaults to li2u-output
```
### Examples
You'll need to provide the tool with LinkedIn's company name. You can find that by looking at the URL for the company's page. It should look something like `https://linkedin.com/company/targetco`. It may or may not be as simple as the exact name of the company.
Here's an example to pull all employees of targetco:
```
$ python linkedin2username.py -c targetco
```
Here's an example to pull a shorter list and append the domain name @targetco.com to them:
```
$ python linkedin2username.py -c targetco -d 5 -n 'targetco.com'
```
### Tips
Use an account with a lot of connections, otherwise you'll get crappy results. Adding a couple connections at the target company should help - this tool will work up to third degree connections. Note that [LinkedIn will cap search results](https://www.linkedin.com/help/linkedin/answer/129/what-you-get-when-you-search-on-linkedin?lang=en) to 1000 employees max. You can use the features '--geoblast' or '--keywords' to bypass this limit. Look at help below for more details.
## Toubleshooting
When LinkedIn changes things, the tool may break. The API used here is not documented, and it may take some fiddling around to get it working again. Please open issues if you notice something weird.
You can verify Selenium works on your machine like this:
```
$ python3
from selenium import webdriver
driver = webdriver.Firefox() # or webdriver.Chrome()
driver.get("https://linkedin.com/login")
```
You can try the `--proxy` flag to inspect traffic with Burp. Right now, it is not inspecting the logins from the Selenium browser as you can see pretty clearly what is happening there.
*This is a security research tool. Use only where granted explicit permission from the network owner.*