# Scrape Facebook Ad Creatives & CTAs from Meta Ad Library

**Use case:** 

Ad creatives with landing pages: adSnapshotUrl, ctaText, ctaDomain, ctaUrl, ctaHeadline plus advertiser pageCategory and pageLikes, in CSV or JSON.

## Input

```json
{
  "searchTerms": [
    "online course"
  ],
  "pageUrls": [],
  "startUrls": [],
  "country": "US",
  "adActiveStatus": "ALL",
  "adType": "ALL",
  "mediaType": "ALL",
  "publisherPlatforms": [],
  "languages": [],
  "dateFrom": "",
  "dateTo": "",
  "includeAboutPage": true,
  "scrapeAdDetails": true,
  "onlyTotalCount": false,
  "maxResults": 60
}
```

## Output

```json
{
  "adArchiveID": {
    "label": "Ad ID",
    "format": "text"
  },
  "pageName": {
    "label": "Advertiser",
    "format": "text"
  },
  "pageCategory": {
    "label": "Category",
    "format": "text"
  },
  "pageLikes": {
    "label": "Likes",
    "format": "number"
  },
  "pageVerified": {
    "label": "Verified",
    "format": "boolean"
  },
  "pageCountry": {
    "label": "Country",
    "format": "text"
  },
  "adText": {
    "label": "Ad copy",
    "format": "text"
  },
  "ctaHeadline": {
    "label": "Headline",
    "format": "text"
  },
  "ctaDescription": {
    "label": "Description",
    "format": "text"
  },
  "ctaDomain": {
    "label": "CTA domain",
    "format": "text"
  },
  "adStatus": {
    "label": "Status",
    "format": "text"
  },
  "publisherPlatforms": {
    "label": "Platforms",
    "format": "array"
  },
  "startDate": {
    "label": "Started",
    "format": "text"
  },
  "endDate": {
    "label": "Ended",
    "format": "text"
  },
  "spend": {
    "label": "Spend",
    "format": "text"
  },
  "reachEstimate": {
    "label": "Audience reached",
    "format": "text"
  },
  "adSnapshotUrl": {
    "label": "Snapshot",
    "format": "link"
  },
  "adLibraryURL": {
    "label": "View ad",
    "format": "link"
  }
}
```

## About this Actor

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