# Quick Linkedln Profile Search

**Use case:** 

Quick Linkedln Profile Search

## Input

```json
{
  "searchQuery": "software engineer",
  "maxItems": 10
}
```

## Output

```json
{
  "linkedinUrl": {
    "label": "LinkedIn URL",
    "format": "string"
  },
  "resultType": {
    "label": "Result type",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "publicIdentifier": {
    "label": "Public identifier",
    "format": "string"
  },
  "fullName": {
    "label": "Full name",
    "format": "string"
  },
  "firstName": {
    "label": "First name",
    "format": "string"
  },
  "lastName": {
    "label": "Last name",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "jobTitle": {
    "label": "Job title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "currentCompany": {
    "label": "Current company",
    "format": "string"
  },
  "currentTitle": {
    "label": "Current title",
    "format": "string"
  },
  "locationText": {
    "label": "Location",
    "format": "string"
  },
  "location": {
    "label": "Location object",
    "format": "object"
  },
  "about": {
    "label": "About",
    "format": "string"
  },
  "profileSummary": {
    "label": "Profile summary",
    "format": "string"
  },
  "experienceSummary": {
    "label": "Experience summary",
    "format": "string"
  },
  "educationSummary": {
    "label": "Education summary",
    "format": "string"
  },
  "profilePicture": {
    "label": "Profile picture",
    "format": "object"
  },
  "photo": {
    "label": "Photo URL",
    "format": "string"
  },
  "currentPosition": {
    "label": "Current position",
    "format": "array"
  },
  "profileTopEducation": {
    "label": "Top education",
    "format": "array"
  },
  "experience": {
    "label": "Experience",
    "format": "array"
  },
  "education": {
    "label": "Education",
    "format": "array"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "confidence": {
    "label": "Confidence",
    "format": "integer"
  },
  "matchedFields": {
    "label": "Matched fields",
    "format": "array"
  },
  "resultRank": {
    "label": "Result rank",
    "format": "integer"
  },
  "sourceProvider": {
    "label": "Source provider",
    "format": "string"
  },
  "dataSource": {
    "label": "Data source",
    "format": "string"
  },
  "searchQuery": {
    "label": "Search query",
    "format": "string"
  },
  "searchTitle": {
    "label": "Search title",
    "format": "string"
  },
  "searchSnippet": {
    "label": "Search snippet",
    "format": "string"
  },
  "_meta": {
    "label": "Metadata",
    "format": "object"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Profile Search – Leads & Recruiting (No Login)](https://apify.com/fabri-lab/linkedin-public-search-lead-extractor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fabri-lab/linkedin-public-search-lead-extractor) 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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/fabri-lab/linkedin-public-search-lead-extractor.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).