# Internships in the United Kingdom

**Use case:** 

Export UK internship listings from LinkedIn, filtered to the Internship employment type. Every row has the job title, hiring company, employment type, posting age and the full description, so students and university careers teams can track placements in one sheet.

## Input

```json
{
  "keywords": "internship",
  "location": "United Kingdom",
  "startUrls": [],
  "datePosted": "any",
  "companyUrls": [],
  "sortBy": "relevant",
  "scrapeCompanyDetails": false,
  "maxResults": 150
}
```

## 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).