# Director and executive jobs in the United Kingdom

**Use case:** 

Export UK leadership roles filtered to Director and Executive seniority on LinkedIn. Each row includes the job title, hiring company, seniority level, employment type, location and the full description. On the roughly one in four postings where LinkedIn shows it, the recruiter who posted the role is included too. Built for executive-search pipelines and leadership-hiring intelligence.

## Input

```json
{
  "keywords": "director",
  "location": "United Kingdom",
  "startUrls": [],
  "datePosted": "any",
  "companyUrls": [],
  "sortBy": "relevant",
  "scrapeCompanyDetails": false,
  "maxResults": 200
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "postedAt": {
    "label": "Posted",
    "format": "text"
  },
  "applicantsCount": {
    "label": "Applicants",
    "format": "number"
  },
  "link": {
    "label": "Link",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper](https://apify.com/solidcode/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/solidcode/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/solidcode/linkedin-jobs-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).