# Audit a brand's Meta advertising transparency

**Use case:** 

Enrich a Facebook Page's Meta ads with advertiser, payer, beneficiary, audience, verification and regional transparency data while preserving the original ad snapshot and creative.

## Input

```json
{
  "query": "",
  "country": "ES",
  "pageId": "",
  "pageUrl": "IKEASpain",
  "activeStatus": "ALL",
  "mediaType": "ALL",
  "adType": "ALL",
  "publisherPlatforms": [],
  "contentLanguages": [],
  "maxAds": 10,
  "maxPages": 10,
  "includeDetails": true,
  "detailsLimit": 5
}
```

## Output

```json
{
  "ad_archive_id": {
    "label": "Ad archive ID",
    "format": "string"
  },
  "snapshot": {
    "label": "Raw ad snapshot",
    "format": "object"
  },
  "creative": {
    "label": "Normalized creative",
    "format": "object"
  },
  "details": {
    "label": "Advertiser details",
    "format": "object"
  },
  "enrichment": {
    "label": "Enrichment status",
    "format": "object"
  },
  "collection": {
    "label": "Collection metadata",
    "format": "object"
  },
  "sourceUrl": {
    "label": "Meta Ad Library URL",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Meta Ads Library Scraper | All Meta Platforms](https://apify.com/datascraperes/meta-ads-library-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datascraperes/meta-ads-library-scraper.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`.
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- **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/datascraperes/meta-ads-library-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).