# Export LinkedIn Profile Reactions for Activity Research

**Use case:** 

Explore up to 20 public reaction activities associated with a LinkedIn profile. Start with satyanadella or replace it with your target username. Export available event dates, actions, post links and post engagement counts to CSV, Excel or JSON. These are reactions made by the selected profile, not reactions received on its own posts. Public availability may reduce results.

## Input

```json
{
  "usernames": [
    "satyanadella"
  ],
  "type": "reactions",
  "maxItemsPerProfile": 20
}
```

## Output

```json
{
  "sourceType": {
    "label": "Type",
    "format": "text"
  },
  "inputUsername": {
    "label": "Profile",
    "format": "text"
  },
  "eventDate": {
    "label": "Event Date",
    "format": "text"
  },
  "actorName": {
    "label": "Actor",
    "format": "text"
  },
  "action": {
    "label": "Action",
    "format": "text"
  },
  "content": {
    "label": "Content",
    "format": "text"
  },
  "postUrl": {
    "label": "Post",
    "format": "link"
  },
  "postTotalReactions": {
    "label": "Reactions",
    "format": "number"
  },
  "postCommentsCount": {
    "label": "Comments",
    "format": "number"
  },
  "postRepostsCount": {
    "label": "Reposts",
    "format": "number"
  }
}
```

## How it works

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

The LinkedIn Profile Comments & Reactions Scraper ✅ No Cookies Actor is ready to run with the inputs already set for "Export LinkedIn Profile Reactions for Activity Research". [Sign up or log in](https://console.apify.com/create-task-from-example/Xp0j6zSK6XUVBskbF) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export LinkedIn Profile Reactions for Activity Research" task

The LinkedIn Profile Comments & Reactions Scraper ✅ No Cookies Actor will start running based on the input automatically. You can also change all the input fields, like linkedin usernames, what to scrape, and more, to match your specific use case.

### 3. Receive the "Export LinkedIn Profile Reactions for Activity Research" 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 type, profile, event date, 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 "Export LinkedIn Profile Reactions for Activity Research" task via API](https://apify.com/scraping_solutions/linkedin-profile-comments-reactions-scraper-no-cookies.md).

## About this Actor

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