# Competitor Google Ads - Nike's Ads on Google

**Use case:** 

See the ads Nike runs on Google, straight from the Google Ads Transparency Center: ad format, first and last shown dates, advertiser, domain, image and preview links. No API key. This example returns 100 Nike ads; swap in any competitor's domain or brand name to monitor their Google ads.

## Input

```json
{
  "queries": [
    "nike.com"
  ],
  "domains": [],
  "advertiserIds": [],
  "startUrls": [],
  "region": "ANYWHERE",
  "adFormat": "ALL",
  "maxAdsPerSearch": 100,
  "maxAdvertisersPerQuery": 3,
  "includeDetails": false,
  "onlyNewAds": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "concurrency": 5
}
```

## Output

```json
{
  "advertiser_name": {
    "label": "Advertiser name"
  },
  "format": {
    "label": "Format"
  },
  "first_shown": {
    "label": "First shown"
  },
  "last_shown": {
    "label": "Last shown"
  },
  "domain": {
    "label": "Domain"
  },
  "image_url": {
    "label": "Image url"
  },
  "ad_url": {
    "label": "Ad url"
  },
  "impressions_max": {
    "label": "Impressions max"
  },
  "region_count": {
    "label": "Region count"
  }
}
```

## How it works

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

The Google Ads Library & Transparency Center Scraper Actor is ready to run with the inputs already set for "Competitor Google Ads - Nike's Ads on Google". [Sign up or log in](https://console.apify.com/create-task-from-example/M9oAcYFa2dQsh7RMq) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Competitor Google Ads - Nike's Ads on Google" task

The Google Ads Library & Transparency Center Scraper Actor will start running based on the input automatically. You can also change all the input fields, like brands or domains, domains, and more, to match your specific use case.

### 3. Receive the "Competitor Google Ads - Nike's Ads on Google" 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 advertiser name, format, first shown, 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 "Competitor Google Ads - Nike's Ads on Google" task via API](https://apify.com/reportable_broth/google-ads-transparency-scraper.md).

## About this Actor

This example demonstrates how to use [Google Ads Library & Transparency Center Scraper](https://apify.com/reportable_broth/google-ads-transparency-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/reportable_broth/google-ads-transparency-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/reportable_broth/google-ads-transparency-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`).