# Compare Competitors: Several Brands in One Run

**Use case:** 

Scrapes the active US ads of three skincare brands, The Ordinary, La Roche-Posay and Olay, side by side into one dataset. Built for agencies and brand teams benchmarking a category: replace the names with your own competitor set. Then connect Claude through Apify's MCP server for a side-by-side summary of each brand's messaging.

## Input

```json
{
  "pageIDs": [
    "The Ordinary",
    "La Roche-Posay",
    "Olay"
  ],
  "pageID": "15087023444",
  "searchType": "keyword_unordered",
  "activeStatus": "active",
  "country": "US",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxConcurrency": 3,
  "maxAds": 300,
  "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?

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/jmlp/meta-ad-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`).
