# Find decision makers who engaged with a post

**Use case:** 

Usa headlineKeywords + excludeCompanies. E o caso de lead gen a partir de engajamento, que e o que diferencia o actor de um contador de curtidas.

## Input

```json
{
  "postUrls": [
    "https://www.linkedin.com/feed/update/urn:li:share:7404946870776868864/"
  ],
  "maxReactions": 0,
  "reactionType": "ALL",
  "headlineKeywords": [
    "CEO",
    "Founder",
    "Head of"
  ],
  "excludeCompanies": true,
  "metadataOnly": false,
  "includePostDetails": false
}
```

## Output

```json
{
  "reactor.name": {
    "label": "Name",
    "format": "text"
  },
  "reaction_type": {
    "label": "Reaction Type",
    "format": "text"
  },
  "is_company": {
    "label": "Company?",
    "format": "text"
  },
  "matches_filters": {
    "label": "Matches Filter?",
    "format": "text"
  },
  "is_new": {
    "label": "New?",
    "format": "text"
  },
  "_metadata.post_url": {
    "label": "Input",
    "format": "link"
  },
  "reactor": {
    "label": "Reactor",
    "format": "object"
  },
  "_metadata": {
    "label": "Metadata",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Reactions Scraper ✅ NO COOKIES](https://apify.com/atomus/linkedin-reactions-scraper-pro.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/atomus/linkedin-reactions-scraper-pro.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/atomus/linkedin-reactions-scraper-pro.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).