# LinkedIn ads: HubSpot, Germany, last 30 days

**Use case:** 

Export HubSpot's LinkedIn Ad Library ads shown in Germany in the last 30 days: ad copy, CTA, landing page, impressions by country and location/language targeting.

## Input

```json
{
  "keywords": [
    "cybersecurity"
  ],
  "advertisers": [
    "HubSpot"
  ],
  "maxAdsPerSearch": 30,
  "countries": [
    "DE"
  ],
  "dateRange": "last-30-days",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "imageUrls": {
    "label": "Images",
    "format": "array"
  },
  "advertiserName": {
    "label": "Advertiser",
    "format": "text"
  },
  "adFormat": {
    "label": "Format",
    "format": "text"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "commentary": {
    "label": "Ad text",
    "format": "text"
  },
  "callToAction": {
    "label": "CTA",
    "format": "text"
  },
  "destinationUrl": {
    "label": "Landing page",
    "format": "link"
  },
  "ranFrom": {
    "label": "Ran from",
    "format": "date"
  },
  "ranTo": {
    "label": "Ran to",
    "format": "date"
  },
  "totalImpressions": {
    "label": "Impressions",
    "format": "text"
  },
  "targeting": {
    "label": "Targeting"
  },
  "adUrl": {
    "label": "Ad link",
    "format": "link"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Ad Library Scraper — Accurate Targeting & Locations](https://apify.com/engineertsaistudio/linkedin-ad-library-scraper-targeting.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/engineertsaistudio/linkedin-ad-library-scraper-targeting.md) 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/engineertsaistudio/linkedin-ad-library-scraper-targeting.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).