# LinkedIn Post Scraper - Text, Reactions, Comments (`gio21/linkedin-post-scraper`) Actor

Scrape public LinkedIn posts by URL or profile: full text, reactions, comment count, top comments, author and follower count. No login or cookie required.

- **URL**: https://apify.com/gio21/linkedin-post-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 20 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 linkedin post scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **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 usage examples, see the [API](#api) section below.

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).

# README

## LinkedIn Post Scraper - Text, Reactions, Comments

Scrape public LinkedIn posts and get clean, structured data: the full post text, reaction count, comment count, top comments, the author's name, profile URL, and follower count. No LinkedIn login or cookie required.

Works two ways: paste specific **post URLs**, or give a **profile URL** and the actor discovers and scrapes that person's recent public posts.

### Why this actor

Many LinkedIn post scrapers break whenever LinkedIn rewrites its page layout, because they read the visible timeline HTML. This actor reads LinkedIn's structured `SocialMediaPosting` data, which is served for SEO and stays stable across layout changes. That makes it far more resilient.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `mode` | String (required) | `posts` to scrape specific post URLs, or `profile` to scrape a profile's recent posts. |
| `postUrls` | Array | Post URLs (mode = `posts`). Example: `https://www.linkedin.com/posts/USERNAME_slug-activity-1234567890-abcd` |
| `profileUrls` | Array | Profile URLs (mode = `profile`). Example: `https://www.linkedin.com/in/username/` |
| `maxPosts` | Integer | In profile mode, recent posts to scrape per profile. Default 20. |
| `maxComments` | Integer | Top comments to include per post. Default 10. Set 0 to skip. |
| `maxRetries` | Integer | Retries per request. Default 3. |

#### Example input (post URLs)

```json
{
    "mode": "posts",
    "postUrls": [
        "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"
    ],
    "maxComments": 10
}
```

#### Example input (profile)

```json
{
    "mode": "profile",
    "profileUrls": ["https://www.linkedin.com/in/williamhgates/"],
    "maxPosts": 20
}
```

### Output

Each post is one dataset record:

```json
{
    "url": "https://www.linkedin.com/posts/williamhgates_...-activity-7142740845631365120-Mx61",
    "postId": "7142740845631365120",
    "headline": "The road ahead reaches a turning point in 2024",
    "text": "As 2023 comes to a close, I find myself thinking more than ever about...",
    "datePublished": "2023-12-19T05:02:03.268Z",
    "authorName": "Bill Gates",
    "authorUrl": "https://www.linkedin.com/in/williamhgates",
    "authorFollowers": 40385125,
    "reactions": 4447,
    "commentCount": 368,
    "shares": null,
    "postImage": "https://media.licdn.com/dms/image/...",
    "comments": [
        { "text": "Great read.", "authorName": "Jane Doe", "datePublished": "2023-12-19T05:31:28.875Z", "likes": 9 }
    ],
    "scrapedAt": "2026-06-04T12:00:00.000Z"
}
```

### How to get a post URL

Open any LinkedIn post, click the three dots in the top-right of the post, and choose **Copy link to post**. Paste that into `postUrls`.

### Pricing

Pay per result. You are charged for each post record returned.

### Free Apify users

Free users receive one mock sample record so they can preview the output shape. Real scraping requires a paid Apify plan, because the actor uses a paid unblocking proxy upstream.

### Notes and limits

- Only **public** posts are accessible. Private posts, or posts from accounts that hide activity, cannot be scraped.
- Comment extraction returns the top comments LinkedIn renders publicly (typically up to 10), not the entire comment thread.
- This actor does not require, ask for, or store your LinkedIn credentials.

If this actor helped you, please leave a review on the Apify Store.

# Actor input Schema

## `mode` (type: `string`):

posts = scrape specific post URLs. profile = discover and scrape recent public posts from a profile.

## `postUrls` (type: `array`):

LinkedIn post URLs (mode = posts). Format: https://www.linkedin.com/posts/USERNAME\_slug-activity-1234567890-abcd

## `profileUrls` (type: `array`):

LinkedIn profile URLs (mode = profile). Format: https://www.linkedin.com/in/username/

## `maxPosts` (type: `integer`):

In profile mode, how many recent posts to scrape per profile.

## `maxComments` (type: `integer`):

Top comments to include per post (0 to skip comments).

## `maxRetries` (type: `integer`):

Retries per request on transient failures.

## Actor input object example

```json
{
  "mode": "posts",
  "postUrls": [
    "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"
  ],
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates/"
  ],
  "maxPosts": 20,
  "maxComments": 10,
  "maxRetries": 3
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped LinkedIn post records.

# 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 = {
    "postUrls": [
        "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"
    ],
    "profileUrls": [
        "https://www.linkedin.com/in/williamhgates/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("gio21/linkedin-post-scraper").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 = {
    "postUrls": ["https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"],
    "profileUrls": ["https://www.linkedin.com/in/williamhgates/"],
}

# Run the Actor and wait for it to finish
run = client.actor("gio21/linkedin-post-scraper").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 '{
  "postUrls": [
    "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"
  ],
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates/"
  ]
}' |
apify call gio21/linkedin-post-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gio21/linkedin-post-scraper"
        }
    }
}

```

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/4anecsVXi7GREXW5v/builds/pzvmSF8Tg0CtPwQ3Q/openapi.json