# Focused research: artificial intelligence

**Use case:** 

LinkedIn Comments & Reactions Scraper configured for focused research around “artificial intelligence”. The saved input exposes postUrls, maxPosts,...

## Input

```json
{
  "postUrls": [
    "artificial intelligence"
  ],
  "maxPosts": 10,
  "maxComments": 10
}
```

## Output

```json
{
  "url": {
    "label": "Post URL",
    "format": "link"
  },
  "post_id": {
    "label": "Post ID",
    "format": "text"
  },
  "reactions_count": {
    "label": "Reactions",
    "format": "number"
  },
  "comments_count": {
    "label": "Comments",
    "format": "number"
  },
  "comments_extracted": {
    "label": "Comments Extracted",
    "format": "number"
  },
  "comments_available": {
    "label": "Comment Bodies Available",
    "format": "boolean"
  },
  "reaction_types": {
    "label": "Reaction Types",
    "format": "text"
  },
  "post_text_preview": {
    "label": "Post Preview",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Comments & Reactions Scraper - No Cookies](https://apify.com/thirdwatch/linkedin-comments-reactions-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/linkedin-comments-reactions-scraper) 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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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/thirdwatch/linkedin-comments-reactions-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).