# Analyze Apple X Ads in DACH Markets

**Use case:** 

Inspect 25 real Apple ad records from X's public Ads Repository across Germany, Austria, and Switzerland, including reach, impressions, targeting, and enriched creative text.

## Input

```json
{
  "advertisers": [
    "Apple"
  ],
  "countries": [
    "FR",
    "DE"
  ],
  "marketPreset": "dach",
  "startDate": "2023-01-01",
  "outputMode": "snapshot",
  "maxAdsPerAdvertiser": 25,
  "searchTerms": [],
  "minImpressions": 0,
  "minReach": 0,
  "sortBy": "impressions-desc",
  "concurrency": 1,
  "requestDelayMs": 750,
  "maxRetries": 4,
  "enrichCreatives": true,
  "includeCreativeHtml": false,
  "includeDebugFields": false
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "changeType": {
    "label": "Change type",
    "format": "string"
  },
  "advertiserHandle": {
    "label": "Advertiser handle",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "creativeText": {
    "label": "Creative text",
    "format": "string"
  },
  "tweetUrl": {
    "label": "Tweet url",
    "format": "string"
  },
  "tweetCreatedAt": {
    "label": "Tweet created at",
    "format": "string"
  },
  "approvalStatus": {
    "label": "Approval status",
    "format": "string"
  },
  "impressions": {
    "label": "Impressions",
    "format": "number"
  },
  "reach": {
    "label": "Reach",
    "format": "number"
  },
  "targetingSummary": {
    "label": "Targeting summary",
    "format": "array"
  },
  "firstSeen": {
    "label": "First seen",
    "format": "string"
  },
  "lastSeen": {
    "label": "Last seen",
    "format": "string"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  },
  "fetchedAt": {
    "label": "Fetched at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [X Ads Repository Scraper & Competitor Monitor](https://apify.com/lexxer/x-ads-repository-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lexxer/x-ads-repository-monitor.md) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
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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/lexxer/x-ads-repository-monitor.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).
