# Post Reactions Scraper for LinkedIn (`apimaestro/linkedin-post-reactions`) Actor

Scrape all reactions data for a given post

- **URL**: https://apify.com/apimaestro/linkedin-post-reactions.md
- **Developed by:** [API Maestro](https://apify.com/apimaestro) (community)
- **Categories:** Automation, Social media, Lead generation
- **Features:** Limited permissions
- **Stats:** 2,275 total users, 191 monthly users, 100.0% runs succeeded, 84 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## LinkedIn Post Reactions Scraper

### 🚀 Extract LinkedIn Post Reactions in Seconds

This powerful LinkedIn scraper extracts detailed information about reactions to any LinkedIn post. Get comprehensive data including reaction type, reactor details, and more - all without needing a LinkedIn account.

#### For other LinkedIn actors, check: https://apify.com/apimaestro

### ✨ Key Features

- **No account needed**: No risk of account restrictions or bans
- **Detailed reaction data**: Get all reactions on any LinkedIn post
- **Reaction types**: Filter by specific reaction types (Like, Praise, Empathy, etc.)
- **Reactor details**: Names, headlines, profile URLs, and profile pictures
- **Pagination support**: Access all reactions for highly-engaged posts
- **Structured data**: Clean JSON format for easy analysis

### 🔧 Simple Usage

Simply provide a LinkedIn post URL or post ID to extract all reactions. The actor supports pagination to get all reactions for posts with high engagement.

#### Input Parameters

- **post_url**: LinkedIn post URL or ID (required)
- **page_number**: Page number for pagination (default: 1)
- **reaction_type**: Filter reactions by type (ALL, LIKE, PRAISE, EMPATHY, APPRECIATION, INTEREST)
- **limit**: Maximum number of results to return (1-100, default: 50)

### Pagination Support

Each run returns up to 100 reactions per page.

Page Number is the field used for pagination. It's 1 by default.

- Page 1: Returns reactions 1-100
- Page 2: Returns reactions 101-200
- Page 3: Returns reactions 201-300
- And so on...

#### How to use pagination:

1. Start with page_number=1 to get the first 100 results
2. To see the next 100 results, set page_number=2
3. Continue incrementing the page number to see more results

### Output Preview

```json
{
  "reaction_type": "LIKE",
  "reactor": {
    "urn": "ACoAAANJH5ABQBGTZESH7RCoKqp5Cgb...",
    "name": "Himanshu Shek...",
    "headline": "Digital Transformation Leader | IT Strategy | BPM | Low Code No Code | Financial Services",
    "profile_url": "https://www.linkedin.com/in/ACoAAANJH5ABQBGTZESH7RCoKqp5Cgbqr...",
    "profile_pictures": {
      "small": "https://media.licdn.com/dms/image/v2/C5603AQH6Vnzpzl62eQ/profile-displayphoto-shrink_100_100/0/166080930484...",
      "medium": "https://media.licdn.com/dms/image/v2/C5603AQH6Vnzpzl62eQ/profile-displayphoto-shrink_200_200/0/16608093048...",
      "large": "https://media.licdn.com/dms/image/v2/C5603AQH6Vnzpzl62eQ/profile-displayphoto-shrink_400_400/0/1660809304...",
      "original": "https://media.licdn.com/dms/image/v2/C5603AQH6Vnzpzl62eQ/profile-displayphoto-shrink_800_800/0/16608..."
    }
  },
  "_metadata": {
    "post_url": "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-73023469261...",
    "page_number": 1,
    "reaction_type": "ALL"
  }
}
```

<br>

***

**Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.

# Actor input Schema

## `post_urls` (type: `array`):

List of LinkedIn post identifiers. You can use either:

- Full post URLs (e.g., 'https://www.linkedin.com/posts/satyanadella_activity-7302346926123798528')
- Post IDs (e.g., '7302346926123798528')
- Comma-separated values will be split automatically

## `page_number` (type: `integer`):

Page number for pagination (starts from 1). Same page number applies to all posts in batch mode.

## `reaction_type` (type: `string`):

Filter reactions by type (ALL returns all reaction types)

## `limit` (type: `integer`):

Limit the number of reactions per post (1-100)

## Actor input object example

```json
{
  "post_urls": [
    "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu",
    "7302346926123798528"
  ],
  "page_number": 1,
  "reaction_type": "ALL",
  "limit": 100
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "post_urls": [
        "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu",
        "7302346926123798528"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apimaestro/linkedin-post-reactions").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "post_urls": [
        "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu",
        "7302346926123798528",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("apimaestro/linkedin-post-reactions").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "post_urls": [
    "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu",
    "7302346926123798528"
  ]
}' |
apify call apimaestro/linkedin-post-reactions --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apimaestro/linkedin-post-reactions"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/J9UfswnR3Kae4O6vm/builds/GRe691CuRf1DXY6oi/openapi.json