# Get insurance ads with advertiser details

**Use case:** 

Scrape US insurance ads and open each detail pane for advertiser
context. This task runs searchQueries ["insurance"], country US,
includeAdDetails true, and maxItems 50, returning ad copy plus
Instagram username, followers, page verification, about text, and
creative variants as JSON, CSV, or Excel. Ads are $1.70 per 1,000;
Ad Details add $1.50 per 1,000 enriched ads.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=US&is_targeted_country=false&media_type=all&q=Nike&search_type=keyword_unordered"
    }
  ],
  "searchQueries": [
    "insurance"
  ],
  "searchType": "keyword_unordered",
  "country": "US",
  "category": "all",
  "activeStatus": "active",
  "mediaType": "all",
  "sortBy": "most_recent",
  "impressionWindow": "any",
  "isTargetedCountry": false,
  "includeAdDetails": true,
  "detailsConcurrency": 8,
  "uniqueAdvertisersOnly": false,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "page_name": {
    "label": "Page name",
    "format": "text"
  },
  "ad_archive_id": {
    "label": "Archive ID",
    "format": "text"
  },
  "advertiser_about": {
    "label": "About",
    "format": "text"
  },
  "ig_username": {
    "label": "Instagram",
    "format": "text"
  },
  "ig_followers": {
    "label": "IG followers",
    "format": "number"
  },
  "ig_verified": {
    "label": "IG verified",
    "format": "boolean"
  },
  "page_verification": {
    "label": "Verification",
    "format": "text"
  },
  "page_cover_photo": {
    "label": "Cover",
    "format": "image"
  },
  "page_like_count": {
    "label": "Likes",
    "format": "number"
  },
  "variant_count": {
    "label": "Variants",
    "format": "number"
  },
  "ads_library_url": {
    "label": "Ads Library",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Ads Scraper](https://apify.com/rigelbytes/facebook-ads-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigelbytes/facebook-ads-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rigelbytes/facebook-ads-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
