# Compare recent LinkedIn ad activity across companies

**Use case:** 

Put a shortlist of competitors side by side to see who is currently running LinkedIn ads, how many each has, and how their ad activity compares.

## Input

```json
{
  "companies": [
    "Notion",
    "Brex",
    "Stripe"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "columns": [
    "advertiserName",
    "adCount",
    "adsLast30d",
    "activeLast30d",
    "adTypesInSample",
    "sampleAds",
    "adLibraryUrl"
  ],
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

## Output

```json
{
  "query": {
    "label": "Company or brand submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "advertiserName": {
    "label": "Advertiser",
    "format": "string"
  },
  "adCount": {
    "label": "Ads in library (exact)",
    "format": "number"
  },
  "adsLast30d": {
    "label": "Ads shown in last 30 days",
    "format": "number"
  },
  "activeLast30d": {
    "label": "Active in last 30 days?",
    "format": "boolean"
  },
  "adTypesInSample": {
    "label": "Ad types (sampled)",
    "format": "array"
  },
  "sampleAds": {
    "label": "Sample ads",
    "format": "array"
  },
  "adLibraryUrl": {
    "label": "Ad Library search page",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Ads Presence Lookup: ads checker from $12/1k](https://apify.com/accountable_eel/linkedin-ads-presence-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/linkedin-ads-presence-lookup.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`.
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- **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/accountable_eel/linkedin-ads-presence-lookup.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).