# Scrape LinkedIn Ads Shown in Germany

**Use case:** 

Extract LinkedIn Ad Library ads shown in Germany. Get advertiserName, headline, body, format, imageUrl and adLibraryUrl in CSV or JSON.

## Input

```json
{
  "keywords": [
    "digitalisierung"
  ],
  "advertisers": [],
  "includeRelatedAdvertisers": false,
  "startUrls": [],
  "countries": [
    "DE"
  ],
  "dateOption": "last-30-days",
  "startDate": "",
  "endDate": "",
  "fetchDetails": false,
  "maxResults": 300
}
```

## Output

```json
{
  "advertiserName": {
    "label": "Advertiser",
    "format": "text"
  },
  "format": {
    "label": "Format",
    "format": "text"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "body": {
    "label": "Ad copy",
    "format": "text"
  },
  "imageUrl": {
    "label": "Image",
    "format": "image"
  },
  "adLibraryUrl": {
    "label": "Ad URL",
    "format": "link"
  },
  "query": {
    "label": "Search",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Ads Scraper](https://apify.com/solidcode/linkedin-ads-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/solidcode/linkedin-ads-scraper) 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-ads-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).