# Scrape Multi-Card and Carousel Ad Creatives

**Use case:** 

Carousel and multi-card ads pack several images or videos into one unit. This pulls the cards out so you can see each panel with its own image, headline, link and button rather than one flattened row. Turn on creative analysis to get the cards split into a clean variants array with their media normalised into one list.

## Input

```json
{
  "searchMode": "search_ads",
  "searchTerms": [
    "meal kit delivery",
    "subscription box"
  ],
  "countries": [
    "US"
  ],
  "status": "ACTIVE",
  "mediaType": "ALL",
  "searchType": "keyword_unordered",
  "sortBy": "total_impressions",
  "languages": [],
  "adType": "all",
  "maxItems": 30,
  "maxItemsPerTerm": 0,
  "maxPagesPerQuery": 0,
  "enrichment": true,
  "longRunningDays": 30,
  "advertiserProfiles": false,
  "landingPageReport": false,
  "separateTables": false,
  "getTranscript": false,
  "trim": false,
  "llmAnalysis": false,
  "strategySummary": false,
  "llmModel": "claude-opus-5"
}
```

## Output

```json
{
  "ad_archive_id": {
    "label": "Ad ID",
    "format": "string"
  },
  "page_name": {
    "label": "Advertiser",
    "format": "string"
  },
  "creative.format": {
    "label": "Format",
    "format": "text"
  },
  "creative.headline": {
    "label": "Headline",
    "format": "text"
  },
  "creative.body": {
    "label": "Ad copy",
    "format": "text"
  },
  "creative.cta.text": {
    "label": "Button",
    "format": "text"
  },
  "creative.variant_count": {
    "label": "Variants",
    "format": "number"
  },
  "creative.media_count": {
    "label": "Assets",
    "format": "number"
  },
  "creative.collation_count": {
    "label": "Related ads",
    "format": "number"
  },
  "creative.partner.page_name": {
    "label": "Paid partner",
    "format": "text"
  },
  "landing.domain": {
    "label": "Destination",
    "format": "text"
  },
  "signals.days_running": {
    "label": "Days running",
    "format": "number"
  },
  "signals.long_running": {
    "label": "Long runner",
    "format": "boolean"
  },
  "signals.days_since_launch": {
    "label": "Days since launch",
    "format": "number"
  },
  "signals.launched_last_30_days": {
    "label": "New (30d)",
    "format": "boolean"
  },
  "signals.is_active": {
    "label": "Active",
    "format": "boolean"
  },
  "signals.platform_count": {
    "label": "Platforms",
    "format": "number"
  },
  "signals.page_like_count": {
    "label": "Page likes",
    "format": "number"
  },
  "enrichment.language": {
    "label": "Language",
    "format": "text"
  },
  "creative.copy_fingerprint": {
    "label": "Copy fingerprint",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Meta Ad Library Scraper - Facebook & Instagram [NO COOKIES] ✅](https://apify.com/unseenuser/meta-ads.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/meta-ads.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/unseenuser/meta-ads.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
