# LinkedIn Profile LIKE Reactions Scraper

**Use case:** 

Collect public LIKE reactions made by this LinkedIn profile in the last 180 days. It sets a limit of 20 rows for the profile and 100 rows for the whole run. Each row includes the profile, post context, dates, links, engagement, and available attachments.

## Input

```json
{
  "resultType": "reactions",
  "profileTargets": [
    "satyanadella"
  ],
  "reactionTypes": [
    "LIKE"
  ],
  "timeWindow": {
    "lastDays": 180
  },
  "maxItemsPerProfile": 20,
  "maxItems": 100
}
```

## Output

```json
{
  "activityType": {
    "label": "Activity type",
    "format": "string"
  },
  "activityAt": {
    "label": "Activity time",
    "format": "string"
  },
  "activityUrl": {
    "label": "Activity link",
    "format": "string"
  },
  "profile": {
    "label": "Profile",
    "format": "object"
  },
  "post": {
    "label": "Original post",
    "format": "object"
  },
  "comment": {
    "label": "Comment",
    "format": "object"
  },
  "reaction": {
    "label": "Reaction",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn User Comments & Reactions Scraper No Cookies](https://apify.com/maximedupre/linkedin-profile-comments-reactions-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/linkedin-profile-comments-reactions-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.
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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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- **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/maximedupre/linkedin-profile-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).