# Find decision makers on LinkedIn by seniority

**Use case:** 

Filter by seniority instead of by job title, so you reach the people who sign rather than the people who use. Combine it with the company's industry, size, revenue or funding stage to land on one buying committee.

## Input

```json
{
  "maxResults": 100,
  "countOnly": false,
  "skipFirst": 0,
  "titleMatchMode": "SMART",
  "seniority": [
    "c_suite",
    "vp",
    "director"
  ],
  "personCountry": [
    "United States"
  ],
  "companyIndustry": [
    "software"
  ],
  "findEmail": false,
  "includeCompanyDetails": false
}
```

## Output

```json
{
  "full_name": {
    "label": "Full Name",
    "format": "string"
  },
  "title": {
    "label": "Job Title",
    "format": "string"
  },
  "company_name": {
    "label": "Company",
    "format": "string"
  },
  "email": {
    "label": "Business Email",
    "format": "string"
  },
  "email_status": {
    "label": "Email Status",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "linkedin_url": {
    "label": "LinkedIn URL",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "photo_url": {
    "label": "Photo",
    "format": "string"
  },
  "summary": {
    "label": "About",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "company_id": {
    "label": "Company ID",
    "format": "string"
  },
  "company_logo": {
    "label": "Company Logo",
    "format": "string"
  },
  "at_company_since": {
    "label": "At Company Since",
    "format": "string"
  },
  "in_role_since": {
    "label": "In Role Since",
    "format": "string"
  },
  "career_started": {
    "label": "Career Started",
    "format": "string"
  },
  "months_at_company": {
    "label": "Months At Company",
    "format": "integer"
  },
  "months_in_role": {
    "label": "Months In Role",
    "format": "integer"
  },
  "years_experience": {
    "label": "Years Experience",
    "format": "integer"
  },
  "open_to_work": {
    "label": "Open To Work",
    "format": "boolean"
  },
  "hiring": {
    "label": "Hiring",
    "format": "boolean"
  },
  "verified": {
    "label": "Verified",
    "format": "boolean"
  },
  "premium": {
    "label": "Premium",
    "format": "boolean"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "connections": {
    "label": "Connections",
    "format": "integer"
  },
  "twitter_url": {
    "label": "Twitter / X",
    "format": "string"
  },
  "facebook_url": {
    "label": "Facebook",
    "format": "string"
  },
  "github_url": {
    "label": "GitHub",
    "format": "string"
  },
  "last_updated": {
    "label": "Source Last Updated",
    "format": "string"
  },
  "company_details": {
    "label": "Company Details",
    "format": "object"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "reason": {
    "label": "Reason",
    "format": "string"
  },
  "total_matches": {
    "label": "Total Matches",
    "format": "integer"
  },
  "error_kind": {
    "label": "Error Kind",
    "format": "string"
  },
  "raw": {
    "label": "Full Profile",
    "format": "object"
  },
  "_metadata": {
    "label": "Metadata",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Profile Search + Email ✅ No Cookies](https://apify.com/atomus/linkedin-profile-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/atomus/linkedin-profile-search.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/atomus/linkedin-profile-search.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`).