# Linkedin Profile Posts Scraper (No Cookie) (`datadoping/linkedin-profile-posts-scraper`) Actor

For just $1.2 per 1,000 posts, scrape LinkedIn posts of a profile and extract full content, engagement stats, and author details using their profile URL.
Note: If you're on free tier you can only scrape 4 profile and 100 posts per profile per run (12 profiles in total)

- **URL**: https://apify.com/datadoping/linkedin-profile-posts-scraper.md
- **Developed by:** [Data Doping](https://apify.com/datadoping) (community)
- **Categories:** Social media, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 904 total users, 130 monthly users, 100.0% runs succeeded, 15 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.20 / 1,000 posts

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

🔍 What is LinkedIn Profile Posts Scraper?

LinkedIn Profile Posts Scraper automates the process of gathering publicly available posts from LinkedIn profiles. Simply provide one or more LinkedIn usernames or profile URLs, and the scraper will fetch comprehensive post details such as:

**Post Content:**

- Post text and content
- Post URLs and timestamps
- Author information (name, headline, profile picture)
- Post statistics (likes, comments, reposts, reactions)

**Media Content:**

- Images with dimensions and URLs
- Article links and titles
- Video content references

**Engagement Data:**

- Total reaction counts
- Individual reaction types (like, appreciation, empathy, interest, praise)
- Comment and repost counts
- Post timestamps (both absolute and relative)

**Pagination Support:**

- Automatic pagination handling
- Configurable maximum posts per profile
- Efficient data collection with rate limiting

All extracted data is limited strictly to public information—nothing private or sensitive is collected.

💡 Why Scrape LinkedIn Profile Posts?

LinkedIn posts provide valuable insights for professionals and businesses:

🔎 **Content Analysis**: Analyze what content performs well in your industry or niche.

🧠 **Competitive Intelligence**: Monitor competitors' content strategies and engagement patterns.

📈 **Lead Generation**: Identify potential clients through their content interests and engagement.

🤝 **Content Strategy**: Research trending topics and content formats in your field.

📊 **Engagement Research**: Study successful posts to improve your own content strategy.

🎯 **Social Listening**: Monitor industry discussions and trending topics.

⚖️ Is it Legal to Scrape LinkedIn Posts?

We prioritize ethical scraping practices.

This scraper only extracts information that users have chosen to display publicly on their LinkedIn profiles. It does not access private data, restricted content, or information behind login walls. All data collection follows LinkedIn's robots.txt guidelines and respects rate limits.

🚀 How to Use

1. **Input Format**: Provide LinkedIn usernames or full profile URLs
   - Username: `example-user`
   - URL: `https://linkedin.com/in/example-user`
   - URL: `linkedin.com/in/example-user`

2. **Posts Limit**: Set maximum number of posts to scrape per profile (minimum 10)

3. **Rate Limits**: The scraper respects LinkedIn's rate limits with 30 requests per minute

4. **Error Handling**: Invalid usernames, company profiles, or malformed URLs will be logged as errors in the dataset

5. **Freemium Limits**: Free users are limited to 4 profiles per run with maximum 100 posts per profile

📊 Output Data Structure

The scraper returns comprehensive post data including:

- **Post Content**: Text, URLs, timestamps, and metadata
- **Author Info**: Name, headline, profile picture, and profile URL
- **Engagement**: Reaction counts, comments, reposts, and interaction data
- **Media**: Images, articles, and other media attachments
- **Pagination**: Page numbers and pagination tokens for data organization

🔧 Technical Features

- **URL Processing**: Automatically converts LinkedIn URLs to usernames
- **Input Validation**: Validates usernames and detects company profiles
- **Pagination Handling**: Automatic pagination with configurable limits
- **Error Handling**: Comprehensive error reporting for failed requests
- **Rate Limiting**: Built-in delays to respect API limits
- **Resume Capability**: Can resume interrupted scraping sessions
- **Concurrent Processing**: Multiple workers for efficient data collection

⚠️ Important Notes

- Only personal LinkedIn profiles are supported (company pages will return errors)
- All data is publicly available information only
- Respects LinkedIn's terms of service and rate limits
- Free tier limited to 4 profiles per run with maximum 100 posts per profile
- Premium users have no limits
- Minimum 10 posts per profile (configurable maximum)

# Actor input Schema

## `profiles` (type: `array`):

List of LinkedIn usernames or profile URLs to scrape posts from. Enter one username/URL per line. URLs will be automatically converted to usernames.

## `max_posts` (type: `integer`):

Maximum number of posts to scrape from each profile. Minimum is 10 posts. Default is 10.

## Actor input object example

```json
{
  "profiles": [
    "aviv-tal-75b81"
  ],
  "max_posts": 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 = {
    "profiles": [
        "aviv-tal-75b81"
    ],
    "max_posts": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadoping/linkedin-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 = {
    "profiles": ["aviv-tal-75b81"],
    "max_posts": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("datadoping/linkedin-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 '{
  "profiles": [
    "aviv-tal-75b81"
  ],
  "max_posts": 100
}' |
apify call datadoping/linkedin-profile-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadoping/linkedin-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/RE0MriXnFhR3IgVnJ/builds/qCpHReR30ZEeAMDZ6/openapi.json