# Scrape Linkedin Post Reactions No Cookies

**Use case:** 

Use LinkedIn Post Reactions Scraper - [✅ No Cookies] for linkedin post with structured, source-linked results for AI-agent research, comparison, monitoring,.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/"
    }
  ],
  "postUrls": [],
  "maxPosts": 15,
  "maxReactors": 15,
  "outputMode": "summaries",
  "providerOrder": "scrapecreators-first",
  "includeRawData": false
}
```

## Output

```json
{
  "recordType": {
    "label": "Record Type",
    "format": "string"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "string"
  },
  "postAuthorName": {
    "label": "Post Author",
    "format": "string"
  },
  "postPublishedAt": {
    "label": "Published",
    "format": "string"
  },
  "reactionCount": {
    "label": "Reactions",
    "format": "integer"
  },
  "likeCount": {
    "label": "Likes",
    "format": "integer"
  },
  "commentCount": {
    "label": "Comments",
    "format": "integer"
  },
  "shareCount": {
    "label": "Shares",
    "format": "integer"
  },
  "engagementCount": {
    "label": "Engagement",
    "format": "integer"
  },
  "reactionType": {
    "label": "Reaction Type",
    "format": "string"
  },
  "name": {
    "label": "Reactor Name",
    "format": "string"
  },
  "profileUrl": {
    "label": "Reactor Profile URL",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "string"
  }
}
```

## About this Actor

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