# See Which Ads a Competitor Launched This Week

**Use case:** 

Run this weekly and it flags which ads went live in the last 7 and 30 days, so each run shows what is new rather than everything again. Turns a one-off competitor audit into ongoing tracking you can schedule and forget. Pairs with Apify scheduling and any integration you already use.

## Input

```json
{
  "searchMode": "company_ads",
  "searchTerms": [
    "Nike"
  ],
  "countries": [
    "US"
  ],
  "status": "ACTIVE",
  "mediaType": "ALL",
  "searchType": "keyword_unordered",
  "sortBy": "total_impressions",
  "languages": [],
  "adType": "all",
  "maxItems": 200,
  "maxItemsPerTerm": 0,
  "maxPagesPerQuery": 0,
  "enrichment": true,
  "longRunningDays": 30,
  "advertiserProfiles": false,
  "landingPageReport": false,
  "separateTables": false,
  "getTranscript": false,
  "trim": false,
  "llmAnalysis": false,
  "strategySummary": false,
  "llmModel": "claude-opus-5"
}
```

## Output

```json
{
  "ad_archive_id": {
    "label": "Ad ID",
    "format": "string"
  },
  "page_name": {
    "label": "Advertiser",
    "format": "string"
  },
  "creative.format": {
    "label": "Format",
    "format": "text"
  },
  "creative.headline": {
    "label": "Headline",
    "format": "text"
  },
  "creative.body": {
    "label": "Ad copy",
    "format": "text"
  },
  "creative.cta.text": {
    "label": "Button",
    "format": "text"
  },
  "creative.variant_count": {
    "label": "Variants",
    "format": "number"
  },
  "creative.media_count": {
    "label": "Assets",
    "format": "number"
  },
  "creative.collation_count": {
    "label": "Related ads",
    "format": "number"
  },
  "creative.partner.page_name": {
    "label": "Paid partner",
    "format": "text"
  },
  "landing.domain": {
    "label": "Destination",
    "format": "text"
  },
  "signals.days_running": {
    "label": "Days running",
    "format": "number"
  },
  "signals.long_running": {
    "label": "Long runner",
    "format": "boolean"
  },
  "signals.days_since_launch": {
    "label": "Days since launch",
    "format": "number"
  },
  "signals.launched_last_30_days": {
    "label": "New (30d)",
    "format": "boolean"
  },
  "signals.is_active": {
    "label": "Active",
    "format": "boolean"
  },
  "signals.platform_count": {
    "label": "Platforms",
    "format": "number"
  },
  "signals.page_like_count": {
    "label": "Page likes",
    "format": "number"
  },
  "enrichment.language": {
    "label": "Language",
    "format": "text"
  },
  "creative.copy_fingerprint": {
    "label": "Copy fingerprint",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Meta Ad Library Scraper - Facebook & Instagram [NO COOKIES] ✅](https://apify.com/unseenuser/meta-ads.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/meta-ads.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/unseenuser/meta-ads.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`).
