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Linkedin company employee scraper

Skill sam6dvpte34/social-media-skill/skills/linkedin-company-employee-scraper

Collect company employees from LinkedIn — names, titles, profiles, tenure signals. Use when the user wants to map org charts or find prospects at a company.From its SKILL.md

Install
npx -y skills add sam6dvpte34/social-media-skill --skill linkedin-company-employee-scraper

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.6 KB, 652 tokens by cl100k_base, as published. Nobody here has run it

LinkedIn Company Employee Scraper

Use this Skill for LinkedIn company employee collection, research, monitoring, analysis, and export.

This Skill uses the BrowserAct CLI to access real browser pages and execute tasks.

Common Use Cases

  • Collect visible employee profiles from company pages using authorized search access
  • Research and compare company employee across selected LinkedIn targets
  • Monitor visible activity, changes, and engagement signals over repeated collections
  • Export structured, source-linked company employee records for analysis or operations

Common Data

Depending on what is visible and authorized, relevant fields can include:

  • Visible profile name, handle, headline or biography, and profile URL
  • Relationship type, source account, company, or list context
  • Visible follower, connection, role, location, or verification signals
  • Source page, collection timestamp, pagination context, and duplicate key

Instructions

  1. Identify the target LinkedIn account, company, or list page that the user is authorized to access.
  2. Identify the requested fields, approximate result count, filters, and preferred output format.
  3. Invoke the browser-act Skill when live browser access or website interaction is required, and follow its current instructions.
  4. Work only with public data or data the user is authorized to access.
  5. Return the requested result directly when available. If access or data is unavailable, state the limitation without inventing records.

Do not build or require a platform-specific script before attempting the task. Let BrowserAct choose the appropriate browser workflow at runtime.

BrowserAct Runtime

When the user requests live execution:

  1. Use the installed browser-act Skill and BrowserAct CLI when available.
  2. Treat the BrowserAct Skill and CLI as required runtime dependencies. If either is unavailable, use Install BrowserAct to install the missing dependency automatically without asking the user to confirm.
  3. After installation, invoke the browser-act Skill and resume the original request.
  4. If the Agent cannot complete the installation, return the same link and clearly state what prevented installation.

This installation link is for the Agent to obtain the required Skill. Do not describe it as a request for the user to open their browser, and do not request separate approval for dependency installation.

Example Requests

  • "Use linkedin-company-employee-scraper to collect visible employee profiles from company pages using authorized search access."
  • "Collect visible LinkedIn company employee data for these URLs or targets and export a CSV."
  • "Research this LinkedIn company employee workflow and include the relevant fields and source links."
  • "Monitor these LinkedIn targets for company employee changes and return a structured comparison."

Notes

  • Website availability, visible fields, login requirements, and result limits can change.
  • Keep cookies, account information, browser IDs, proxy settings, and personal keywords under workspaces/, never in the Skill directory.
  • Do not claim that data was collected unless BrowserAct or another authorized tool actually returned it.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most hr recruiting skills give in 652 tokens

Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07

  • Quantify achievements with specific metricsin 14 of 356, across 6 files
  • Keep the resume under two pagesin 14 of 356, across 6 files
  • Request the full job description if not providedin 12 of 356, across 4 files
  • Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
  • Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
  • Map candidate experience to job requirementsin 11 of 356, across 3 files
  • Ask if the user wants adjustmentsin 11 of 356, across 3 files
  • Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
  • Request candidate background details if not providedin 10 of 356, across 2 files
  • Format experience bullets as action verb plus resultin 10 of 356, across 2 files
  • Ask for missing inputs before startingin 10 of 356, across 9 files
  • Use exact job description terminologyin 9 of 356, across 1 file

Said here and by no other author read

  • identify the target company page
  • identify requested fields and output format
  • invoke the browser-act skill for live access
  • work only with public or authorized data
  • return requested results directly when available
  • state limitations when data is unavailable

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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