# Production export: cybersecurity engineer

**Use case:** 

LinkedIn Candidate Finder configured for production export around “cybersecurity engineer”. The saved input exposes role, skills, location, maxResults,...

## Input

```json
{
  "searchQueries": [],
  "personNames": [],
  "role": "Data Scientist",
  "jobTitles": [],
  "skills": [
    "machine learning"
  ],
  "skillsMatch": "all",
  "keywords": [
    "cybersecurity engineer"
  ],
  "excludeKeywords": [],
  "location": "Bangalore",
  "locations": [],
  "currentCompanies": [],
  "pastCompanies": [],
  "excludeCompanies": [],
  "schools": [],
  "industries": [],
  "maxExperienceYears": 40,
  "maxResults": 250,
  "maxResultsPerQuery": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}
```

## Output

```json
{
  "fullName": {
    "label": "Name",
    "format": "text"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "currentCompany": {
    "label": "Matched Company",
    "format": "text"
  },
  "school": {
    "label": "Matched School",
    "format": "text"
  },
  "industry": {
    "label": "Matched Industry",
    "format": "text"
  },
  "matchedSkills": {
    "label": "Matched Skills",
    "format": "array"
  },
  "visibleEvidenceScore": {
    "label": "Visible Evidence %",
    "format": "number"
  },
  "profileUrl": {
    "label": "Profile URL",
    "format": "link"
  },
  "searchQuery": {
    "label": "People Query",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn People Search & Candidate Finder - No Cookies](https://apify.com/thirdwatch/linkedin-candidate-finder-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/linkedin-candidate-finder-scraper) 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/thirdwatch/linkedin-candidate-finder-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).