# Export Everyone Who Liked/Commented on a LinkedIn Post

**Use case:** 

Get every commenter on any LinkedIn post as a clean list with names, headlines and profile URLs. No login or cookies required. Export CSV or JSON.

## Input

```json
{
  "postUrls": [
    "https://www.linkedin.com/posts/google_milestone-alert-more-than-1-billion-people-activity-7492997498093936640-Edor?utm_source=share&utm_medium=member_desktop&rcm=ACoAABYd320BCGg8-BbH7WzpUiz0nbscHF7DmWE"
  ],
  "engagementTypes": [
    "reactions",
    "comments"
  ],
  "maxItemsPerPost": 10,
  "includeCommentReplies": true,
  "dedupePeople": true
}
```

## Output

```json
{
  "person": {
    "label": "Person"
  },
  "engagementTypes": {
    "label": "Engaged via"
  },
  "reactionValue": {
    "label": "Reaction"
  },
  "commentText": {
    "label": "Comment"
  },
  "postUrl": {
    "label": "Post",
    "format": "link"
  },
  "postAuthorName": {
    "label": "Post author"
  },
  "commentedAt": {
    "label": "Commented",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Reactions & Comments Scraper ✅ No Cookies](https://apify.com/data_pool/linkedin-post-engagement-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_pool/linkedin-post-engagement-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`.
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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/data_pool/linkedin-post-engagement-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).