# dchrastil/ScrapedIn

A tool to scrape LinkedIn without API restrictions for data reconnaissance

Repository: https://github.com/dchrastil/ScrapedIn
Canonical: https://ross.abutalabs.com/products/scrapedin
Language: Python
License Family: other
Last push: 2024-04-11T22:54:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3079, "days_push": 874, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1235, forks 161 (observed 2026-08-28T04:04:04.921444+00:00)

## What it is
A Python CLI tool that scrapes LinkedIn without API restrictions to enumerate employees of a target company for red team or social engineering reconnaissance. It exports results to an XLSX file formatted for Google Spreadsheets with a dataset sheet and a visual report sheet.

## Use cases
- scrape LinkedIn employee lists for a company
- gather employee data for a red team engagement
- enumerate LinkedIn profiles for social engineering reconnaissance
- export LinkedIn search results to a spreadsheet
- find LinkedIn company ID and pull staff details

## When to choose
- you need employee reconnaissance data for authorized security engagements
- you want to bypass LinkedIn API restrictions with a simple Python script
- you need results in a spreadsheet-friendly format with profile pictures

## When to avoid
- you need a compliant or TOS-respecting data source
- you require large-scale scraping beyond the 1,000-result search cap
- you cannot risk your LinkedIn account being flagged or banned
- you need maintained software with a license or active support

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: web-scraping, osint, cli
- domain: osint, security, crawlers, hr
- platform: python, cli, cross-platform
- tags: linkedin, reconnaissance, red-team, social-engineering, employee-enumeration, xlsx-report, linux

## Member repositories
- dchrastil/ScrapedIn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.921444+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 2026-08-30T08:22:04.478877+00:00, confidence not recorded.
  - readme: https://github.com/dchrastil/ScrapedIn (fetched 2026-08-28T04:04:04.921444+00:00, sha 9471ef8d1b59)
- Data as of 2026-08-30T08:39:29.467469+00:00.
