# LinkedIn company employees finder for Microsoft in Seattle

**Use case:** 

Recruiters can combine Microsoft as the employer with Engineering Manager as the title and Seattle as the location. The limited output contains profile URLs, headlines and rank labels for manual talent mapping. Search index records can lag employment changes.

## Input

```json
{
  "companies": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "searchQuery": "",
  "targetTitles": [
    "Engineering Manager"
  ],
  "location": "Seattle",
  "profileDepth": "short",
  "maxEmployees": 1,
  "seniorityFilter": [
    "manager"
  ],
  "industryFilter": "",
  "maxConcurrency": 1,
  "maxResidentialMb": 1,
  "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"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Company Employees Scraper With Decision Makers Actor is ready to run with the inputs already set for "LinkedIn company employees finder for Microsoft in Seattle". [Sign up or log in](https://console.apify.com/create-task-from-example/nVlTnI9Qs2isd1qLz) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "LinkedIn company employees finder for Microsoft in Seattle" task

The LinkedIn Company Employees Scraper With Decision Makers Actor will start running based on the input automatically. You can also change all the input fields, like company linkedin urls or names, target titles, and more, to match your specific use case.

### 3. Receive the "LinkedIn company employees finder for Microsoft in Seattle" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as full name, first name, last name, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "LinkedIn company employees finder for Microsoft in Seattle" task via API](https://apify.com/george.the.developer/linkedin-company-employees-scraper.md).

## FAQ

### How exact is the Seattle location filter?

The location value is added to the search, so the LinkedIn Company Employees Scraper returns profiles that list Seattle publicly. Check the location field on each row before relying on it.

### Do I need a LinkedIn account for this recruiting sample?

No. The LinkedIn Company Employees Scraper works from Google search results and public pages. No LinkedIn login, cookies or session is involved.

### How much does a run of this task cost?

The LinkedIn Company Employees Scraper bills $0.05 per run plus $0.01 per profile tied to Microsoft. This sample is capped at one profile, so a run costs about $0.06. Raise maxEmployees for a full list.

### What does the manager seniority band include?

seniorityBand manager covers manager level titles below director, classified from the public job title. Head of and Director titles land in the director band, so use director, vp or cxo in seniorityFilter for leadership.

## 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?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).