# Run a LinkedIn company employees scraper for GitLab recruiters

**Use case:** 

Staffing partners can look for GitLab recruiting and talent acquisition roles. Short rows include headlines, matched titles and seniority bands for a manual partner review. Public search coverage is partial and no contact email is supplied.

## Input

```json
{
  "companies": [
    "https://www.linkedin.com/company/gitlab-com/"
  ],
  "searchQuery": "",
  "targetTitles": [
    "Recruiter",
    "Talent Acquisition"
  ],
  "location": "",
  "profileDepth": "short",
  "maxEmployees": 1,
  "seniorityFilter": [],
  "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 "Run a LinkedIn company employees scraper for GitLab recruiters". [Sign up or log in](https://console.apify.com/create-task-from-example/EdeaXM5Iundq4KO9K) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Run a LinkedIn company employees scraper for GitLab recruiters" 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 "Run a LinkedIn company employees scraper for GitLab recruiters" 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 "Run a LinkedIn company employees scraper for GitLab recruiters" task via API](https://apify.com/george.the.developer/linkedin-company-employees-scraper.md).

## FAQ

### Can I target titles other than recruiting at GitLab?

Yes. Put up to 30 titles in targetTitles. The LinkedIn Company Employees Scraper reports matchedTitles and titleMatchType as exact, partial or none on every row, so you can see why each person was included.

### Does this staffing sample need a LinkedIn account?

No. The LinkedIn Company Employees Scraper finds public profiles through Google search and reads public pages. No LinkedIn login, cookies or session is used.

### What does a run of this task cost?

The LinkedIn Company Employees Scraper bills $0.05 per run plus $0.01 per profile tied to GitLab. Unmatched rows are free, and Apify's free plan covers about 10 runs of 40 profiles.

### Which fields does each profile row contain?

fullName, headline, profileUrl, location, matchedTitles, titleMatchType, isDecisionMaker, seniorityBand and department. Emails, phone numbers and full work history are not returned.

## 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`).