# initstring/linkedin2username

OSINT Tool: Generate username lists for companies on LinkedIn

Repository: https://github.com/initstring/linkedin2username
Canonical: https://ross.abutalabs.com/products/linkedin2username
Language: Python
License: MIT
License Family: permissive
Topics: hacking, pentesting, osint, penetration-testing
Last push: 2026-05-20T23:16:42+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 52, longevity 100
- inputs: {"age_days": 3114, "days_push": 105, "days_rel": 105, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1825, forks 222 (observed 2026-08-28T04:05:41.282892+00:00)

## What it is
A Python OSINT tool that scrapes LinkedIn employee lists for a target company and generates multiple probable username formats (e.g., first.last, flast) as text files, optionally appending an email domain. It uses Selenium with a real browser login and requires no API key.

## Use cases
- generate username lists for a company from LinkedIn
- build email candidate lists for penetration testing
- OSINT reconnaissance on a target organization's employees
- create probable corporate email formats like jsmith@company.com
- enumerate employees of a company for security assessments

## When to choose
- you need probable username/email formats for a company during an authorized pentest
- you want a simple scraper without API keys
- you need multiple username convention variants and metadata output

## When to avoid
- you cannot risk your LinkedIn account being rate limited or banned
- you need guaranteed up-to-date scraping since LinkedIn changes may break it
- you are not doing authorized security research

## Facets
- artifact type: cli-tool
- maturity: active
- function: web-scraping, osint, security, cli
- domain: security, penetration-testing, osint, crawlers
- platform: python, cli, cross-platform
- tags: linkedin, username-enumeration, selenium, pentesting, recon

## Member repositories
- initstring/linkedin2username (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.282892+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:19:41.599251+00:00, confidence not recorded.
  - readme: https://github.com/initstring/linkedin2username (fetched 2026-08-28T04:05:41.282892+00:00, sha 527c3da5d3e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.