# Meta Ad Library Scraper Nike Example Task

**Use case:** 

Example task that scrapes Nike's ads from the Meta (Facebook & Instagram) Ad Library for competitor analysis. Extracts ad creatives, copy, start dates, platforms, and reach — ready to adapt for any brand or advertiser page.

## Input

```json
{
  "pageID": "15087023444",
  "searchType": "keyword_unordered",
  "activeStatus": "active",
  "country": "ALL",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxConcurrency": 4,
  "maxAds": 100,
  "delayMs": 300,
  "pageSize": 30,
  "raw": false,
  "proxyRotations": 3,
  "resume": true,
  "continueFromLastRun": false,
  "shardSplitThreshold": 1500,
  "impersonate": "chrome146"
}
```

## Output

```json
{
  "page_name": {
    "label": "Page name",
    "format": "string"
  },
  "is_active": {
    "label": "Active",
    "format": "boolean"
  },
  "snapshot.display_format": {
    "label": "Format",
    "format": "string"
  },
  "snapshot.title": {
    "label": "Headline",
    "format": "string"
  },
  "snapshot.body.text": {
    "label": "Ad copy text",
    "format": "string"
  },
  "snapshot.cta_text": {
    "label": "Button text",
    "format": "string"
  },
  "snapshot.link_url": {
    "label": "Landing page",
    "format": "string"
  },
  "start_date": {
    "label": "Start date",
    "format": "integer"
  },
  "end_date": {
    "label": "End date",
    "format": "integer"
  },
  "publisher_platform": {
    "label": "Platforms",
    "format": "array"
  },
  "collation_count": {
    "label": "Variant count",
    "format": "integer"
  },
  "ad_archive_id": {
    "label": "Ad ID",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Meta (Facebook & Instagram) Ads Library Scraper](https://apify.com/jmlp/meta-ad-library-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/jmlp/meta-ad-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`.
- **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/jmlp/meta-ad-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).