# Enrich a LinkedIn profile from public search data

**Use case:** 

Extract the public name, headline, company, summary, and source links for Satya Nadella's LinkedIn profile without cookies.

## Input

```json
{
  "profiles": [
    {
      "url": "https://www.linkedin.com/in/satyanadella",
      "fullName": "Satya Nadella"
    }
  ],
  "enrichCompanyContacts": false,
  "maxItems": 1
}
```

## Output

```json
{
  "linkedinUrl": {
    "label": "LinkedIn URL",
    "format": "string"
  },
  "fullName": {
    "label": "Full name",
    "format": "string"
  },
  "headline": {
    "label": "Public headline",
    "format": "string"
  },
  "currentCompany": {
    "label": "Current company",
    "format": "string"
  },
  "publicWorkEmails": {
    "label": "Attributed public work emails",
    "format": "array"
  },
  "companyContacts": {
    "label": "Company contact routes",
    "format": "array"
  },
  "sources": {
    "label": "Source attribution",
    "format": "array"
  },
  "enrichedAt": {
    "label": "Enriched at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Profile Contact Enricher](https://apify.com/automation-lab/linkedin-profile-contact-enricher) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/linkedin-profile-contact-enricher) 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/automation-lab/linkedin-profile-contact-enricher.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).
