# Scrape a company's LinkedIn employees with decision maker flags

**Use case:** 

Example run: every public employee of one LinkedIn company page, with decision maker flag, seniority band and department on each billed row. No login, no cookies. Swap the company URL for yours.

## Input

```json
{
  "companies": [
    "https://www.linkedin.com/company/apify-technologies/"
  ],
  "targetTitles": [
    "CEO",
    "CTO",
    "CFO",
    "COO",
    "CMO",
    "President",
    "Founder",
    "Co-Founder",
    "Owner",
    "Managing Director",
    "Director General",
    "Presidente",
    "Vicepresidente",
    "Gerente General",
    "Fundador",
    "Socio",
    "Dueño",
    "Propietario"
  ],
  "profileDepth": "short",
  "maxEmployees": 25,
  "seniorityFilter": [],
  "maxConcurrency": 3,
  "maxResidentialMb": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  },
  "verificationProxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "acceptDiscoveryFallback": true,
  "compareWithPreviousRun": false,
  "decisionMakersOnly": false
}
```

## Output

```json
{
  "fullName": {
    "label": "Full Name",
    "format": "text"
  },
  "firstName": {
    "label": "First Name",
    "format": "text"
  },
  "lastName": {
    "label": "Last Name",
    "format": "text"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "matchedTitles": {
    "label": "Matched Titles",
    "format": "text"
  },
  "titleMatchType": {
    "label": "Title Match",
    "format": "text"
  },
  "profileUrl": {
    "label": "Profile URL",
    "format": "link"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "company": {
    "label": "Company",
    "format": "text"
  },
  "isDecisionMaker": {
    "label": "Decision Maker",
    "format": "text"
  },
  "seniorityBand": {
    "label": "Seniority Band",
    "format": "text"
  },
  "department": {
    "label": "Department",
    "format": "text"
  },
  "profileDepth": {
    "label": "Depth",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Company Employees Scraper With Decision Makers](https://apify.com/george.the.developer/linkedin-company-employees-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/george.the.developer/linkedin-company-employees-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/george.the.developer/linkedin-company-employees-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).