# Compare LinkedIn Post Reaction Types

**Use case:** 

Compare reactions on public LinkedIn posts for social media managers and communications analysts. Returns postId, reactionsTotal, reactionTypesPresent, postUrl, and scrapedAt; exact reactionCounts are included when LinkedIn exposes them. Set postUrls to choose the posts to summarize, and use reactionTypeFilter to keep posts with selected reactions.

## Input

```json
{
  "postUrls": [
    "https://www.linkedin.com/posts/microsoft_this-month-the-microsoft-atlanta-team-in-activity-7516505833061474305-T6ou",
    "https://www.linkedin.com/feed/update/urn:li:activity:7468769852581806080/",
    "https://www.linkedin.com/feed/update/urn:li:ugcPost:7513744817718218752/"
  ],
  "reactionTypeFilter": [],
  "emitNoResultsMarker": true
}
```

## Output

```json
{
  "postId": {
    "label": "Post ID",
    "format": "text"
  },
  "reactionsTotal": {
    "label": "Reactions",
    "format": "number"
  },
  "reactionTypesPresent": {
    "label": "Types present",
    "format": "text"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## How it works

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

The LinkedIn Post Reactor Identity & Reaction Type Scraper Actor is ready to run with the inputs already set for "Compare LinkedIn Post Reaction Types". [Sign up or log in](https://console.apify.com/create-task-from-example/m14NIiMrO2cwVnl1C) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare LinkedIn Post Reaction Types" task

The LinkedIn Post Reactor Identity & Reaction Type Scraper Actor will start running based on the input automatically. You can also change all the input fields, like linkedin post urls or ids, only posts with these reactions, and more, to match your specific use case.

### 3. Receive the "Compare LinkedIn Post Reaction Types" 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 id, reactions, types present, 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 "Compare LinkedIn Post Reaction Types" task via API](https://apify.com/vexaloom-labs/linkedin-post-reactor-identity-and-reaction-type.md).

## About this Actor

This example demonstrates how to use [LinkedIn Post Reactor Identity & Reaction Type Scraper](https://apify.com/vexaloom-labs/linkedin-post-reactor-identity-and-reaction-type.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/linkedin-post-reactor-identity-and-reaction-type.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/vexaloom-labs/linkedin-post-reactor-identity-and-reaction-type.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`).