# Compare Nike and Adidas ads on Facebook and Instagram

**Use case:** 

Pulls the ads Nike and Adidas are running right now from their Facebook pages in the Meta Ad Library: ad text, images or video, start date, platforms and ad link. Swap in your own competitors to compare their creative side by side.

## Input

```json
{
  "pages": [
    "https://www.facebook.com/nike",
    "https://www.facebook.com/adidas"
  ],
  "country": "ALL",
  "activeStatus": "active",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "input": {
    "label": "Input"
  },
  "pageName": {
    "label": "Page Name"
  },
  "body": {
    "label": "Body"
  },
  "displayFormat": {
    "label": "Display Format"
  },
  "startDate": {
    "label": "Start Date"
  },
  "isActive": {
    "label": "Is Active"
  },
  "publisherPlatforms": {
    "label": "Publisher Platforms"
  },
  "linkUrl": {
    "label": "Link URL"
  },
  "adLibraryUrl": {
    "label": "Ad Library URL"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Facebook Page Ads Scraper Actor is ready to run with the inputs already set for "Compare Nike and Adidas ads on Facebook and Instagram". [Sign up or log in](https://console.apify.com/create-task-from-example/xUa3ccceDFboGmjB4) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare Nike and Adidas ads on Facebook and Instagram" task

The Facebook Page Ads Scraper Actor will start running based on the input automatically. You can also change all the input fields, like facebook pages, country, and more, to match your specific use case.

### 3. Receive the "Compare Nike and Adidas ads on Facebook and Instagram" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as input, page name, body, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare Nike and Adidas ads on Facebook and Instagram" task via API](https://apify.com/piotrv1001/facebook-page-ads-scraper.md).

## FAQ

### What does the Nike vs Adidas Facebook ads task return?

The Nike vs Adidas Facebook ads task returns each active ad's text, ad format, call to action, link, product cards with images, start date, platforms such as Facebook and Instagram, and Ad Library link.

### How do I get more ads from each brand?

The Nike vs Adidas Facebook ads task stops at 50 ads in total across both pages, not 50 per page. Raise max ads to collect more from each brand, Adidas included, in one run.

### Can I compare ads in one country only?

The Nike vs Adidas Facebook ads task uses country ALL; set it to a 2-letter code such as US, GB, DE or BR to see only the ads that ran in that country.

### Can I see ads that have already ended?

The Nike vs Adidas Facebook ads task keeps active ads only; set ad status to inactive for ended ads or all for both. Each row shows an active flag, start date and end date.

### How is the Nike vs Adidas Facebook ads task billed?

The Nike vs Adidas Facebook ads task is billed per ad saved, plus a tiny start fee per run. Lower max ads to cap the cost of each run; current rates are on the Actor's Pricing tab.

### How do I compare other brands, like Puma and New Balance?

The Nike vs Adidas Facebook ads task accepts Facebook page URLs, page IDs or Ad Library page links. Swap in any brands' pages and schedule the run weekly to follow their ad activity.

## About this Actor

This example demonstrates how to use [Facebook Page Ads Scraper](https://apify.com/piotrv1001/facebook-page-ads-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/piotrv1001/facebook-page-ads-scraper.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/piotrv1001/facebook-page-ads-scraper.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`).