# Count how many ads a page runs before you pay

**Use case:** 

Runs in count mode: for each advertiser you name, it returns the Ad Library's own total number of matching ads and no ad rows at all, which costs nothing beyond the start event. Use it to size a job, to compare share of voice between advertisers, or to check that a page has ads running before you spend on a full pull.

## Input

```json
{
  "searchTerms": [
    "nike"
  ],
  "searchType": "keyword_unordered",
  "advertiserNames": [
    "Gymshark",
    "Airbnb"
  ],
  "countries": [
    "US"
  ],
  "adType": "all",
  "activeStatus": "all",
  "mediaType": "all",
  "deliveredWithinDays": "any",
  "sortBy": "default",
  "isTargetedCountry": false,
  "onlyActiveNow": false,
  "maxAds": 20,
  "onlyTotalCount": true,
  "fetchAdDetails": false,
  "resolveLandingPages": false,
  "memoryName": "",
  "emitKnownAds": false,
  "resetMemory": false,
  "maxConcurrency": 3,
  "maxIpRetries": 6,
  "maxEmptyPages": 3,
  "maxKnownPages": 0
}
```

## Output

```json
{
  "adArchiveId": {
    "label": "Library ID",
    "format": "text"
  },
  "pageName": {
    "label": "Advertiser",
    "format": "text"
  },
  "isActive": {
    "label": "Active",
    "format": "boolean"
  },
  "startDate": {
    "label": "Started",
    "format": "date"
  },
  "daysRunning": {
    "label": "Days running",
    "format": "number"
  },
  "displayFormat": {
    "label": "Format",
    "format": "text"
  },
  "publisherPlatforms": {
    "label": "Platforms",
    "format": "array"
  },
  "adText": {
    "label": "Ad text",
    "format": "text"
  },
  "title": {
    "label": "Headline",
    "format": "text"
  },
  "ctaText": {
    "label": "CTA",
    "format": "text"
  },
  "landingDomain": {
    "label": "Landing domain",
    "format": "text"
  },
  "spendText": {
    "label": "Spend",
    "format": "text"
  },
  "impressionsText": {
    "label": "Impressions",
    "format": "text"
  },
  "collationCount": {
    "label": "Creative reuse",
    "format": "number"
  },
  "adLibraryUrl": {
    "label": "Ad Library URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Ads Library Scraper - Page Ads, No Login](https://apify.com/automation_craft/facebook-ads-library-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation_craft/facebook-ads-library-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/automation_craft/facebook-ads-library-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`).