# LinkedIn Post Engagement by URL - Reactions & Comments

**Use case:** 

Paste public LinkedIn post links and measure how each post performs without logging in. Each row has the post URL, author and follower count, reactions, comment count, top reaction types, engagement total and engagement rate, plus the top public comments, hashtags, links and the original post when the link is a repost.

## Input

```json
{
  "urls": [
    "https://www.linkedin.com/posts/williamhgates_this-book-clears-up-climate-change-bill-activity-7408723748973056001-lp_x",
    "https://www.linkedin.com/posts/linkedin_add-job-preferences-activity-7208418413906464769-P2hn"
  ],
  "max_comments": 10,
  "max_related_posts": 3,
  "resolve_short_links": true,
  "include_video_transcript": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "post_url": {
    "label": "Post URL",
    "format": "string"
  },
  "author_name": {
    "label": "Author",
    "format": "string"
  },
  "reactions_count": {
    "label": "Reactions",
    "format": "integer"
  },
  "comments_count": {
    "label": "Comments",
    "format": "integer"
  },
  "engagement_total": {
    "label": "Engagement total",
    "format": "integer"
  },
  "engagement_rate_pct": {
    "label": "Engagement rate %",
    "format": "number"
  },
  "top_reaction_types": {
    "label": "Top reaction types",
    "format": "array"
  },
  "author_followers": {
    "label": "Author followers",
    "format": "integer"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Post Reshares & Reposts Scraper for LinkedIn (No Cookies) Actor is ready to run with the inputs already set for "LinkedIn Post Engagement by URL - Reactions & Comments". [Sign up or log in](https://console.apify.com/create-task-from-example/hYXAM0w8rGvXKNspI) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "LinkedIn Post Engagement by URL - Reactions & Comments" task

The Post Reshares & Reposts Scraper for LinkedIn (No Cookies) Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 linkedin post links or ids, 💬 comments per post, and more, to match your specific use case.

### 3. Receive the "LinkedIn Post Engagement by URL - Reactions & Comments" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as post url, author, reactions, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "LinkedIn Post Engagement by URL - Reactions & Comments" task via API](https://apify.com/data_minds/post-reshares-reposts-scraper-for-linkedin-no-cookies.md).

## About this Actor

This example demonstrates how to use [Post Reshares & Reposts Scraper for LinkedIn (No Cookies)](https://apify.com/data_minds/post-reshares-reposts-scraper-for-linkedin-no-cookies.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_minds/post-reshares-reposts-scraper-for-linkedin-no-cookies.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data_minds/post-reshares-reposts-scraper-for-linkedin-no-cookies.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).