# Mass Profile Posts Scraper for LinkedIn | No Cookies (`apimaestro/linkedin-batch-profile-posts-scraper`) Actor

Scrape in Batch LinkedIn posts from LinkedIn profiles including post content, reactions, comments count, and media attachments

- **URL**: https://apify.com/apimaestro/linkedin-batch-profile-posts-scraper.md
- **Developed by:** [API Maestro](https://apify.com/apimaestro) (community)
- **Categories:** Social media, Automation, Developer tools
- **Stats:** 3,441 total users, 185 monthly users, 100.0% runs succeeded, 127 bookmarks
- **User rating**: 4.61 out of 5 stars

## Pricing

$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.

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 Batch Profile Posts Scraper

##### -Scrape In Batch Profile Posts Data

##### -Get Most Recent 100 Posts for each Profile with their related data

##### -Up to 1000 profiles can be scraped on a single run in no time !

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

### ✨ Key Features

- No account needed:  Don't risk your account security by sharing your cookies and don't get your account restricted or banned!
- Recent posts and activity
- Post content and media
- Reaction counts by type (likes, comments, etc.)
- Post URLs for sharing
- Author details
- Media attachments (images, articles, etc.)
- Pagination support for older posts

### 🔧 Simple Usage

Provide a list of LinkedIn profiles by username or url to get their recent posts and activity. The username is the last part of a LinkedIn profile URL (e.g., 'satyanadella' from linkedin.com/in/satyanadella).

### Output Preview

```json
{
    "posts": [
        {
            "posted_at": "2 months ago",
            "text": "Post content here...",
            "url": "https://www.linkedin.com/posts/...",
            "author": {
                "first_name": "Satya",
                "last_name": "Nadella",
                "headline": "Chairman and CEO at Microsoft",
                "profile_url": "https://www.linkedin.com/in/satyanadella",
                "profile_picture": "https://.../"
            },
            "stats": {
                "total_reactions": 2508,
                "likes": 2048,
                "appreciations": 63,
                "empathy": 195,
                "interests": 20,
                "praises": 182,
                "comments": 159,
                "reposts": 159
            },
            "media": {
                "type": "article",
                "url": "https://.../",
                "thumbnail": "https://.../"
            }
        }
    ],
    "metadata": {
        "pagination_token": "dXJuOmxpOmFj..."
    }
}
```

<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

## `usernames` (type: `array`):

List of LinkedIn profile identifiers. You can use either:

- Usernames (e.g., 'satyanadella')
- Profile URLs (e.g., 'https://www.linkedin.com/in/satyanadella')
- Comma-separated values will be split automatically

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

Optional: Limit the number of posts returned per profile (1-100)

## `total_posts` (type: `integer`):

Enable automatic pagination: Set the total number of posts to scrape per profile. This will automatically paginate through multiple pages to collect the desired number of posts, overriding the Result limit setting above.

## Actor input object example

```json
{
  "usernames": [
    "satyanadella",
    "https://www.linkedin.com/in/williamhgates/"
  ],
  "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 = {
    "usernames": [
        "satyanadella",
        "https://www.linkedin.com/in/williamhgates/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apimaestro/linkedin-batch-profile-posts-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 = { "usernames": [
        "satyanadella",
        "https://www.linkedin.com/in/williamhgates/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("apimaestro/linkedin-batch-profile-posts-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 '{
  "usernames": [
    "satyanadella",
    "https://www.linkedin.com/in/williamhgates/"
  ]
}' |
apify call apimaestro/linkedin-batch-profile-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apimaestro/linkedin-batch-profile-posts-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/r4oNX7IHlW4RQAjKP/builds/2DTRGEoNvXPqFYeJs/openapi.json