# LinkedIn Company Posts Scraper – No Cookies (`datadoping/linkedin-company-posts-scraper`) Actor

For just $1.2 per 1,000 posts, scrape LinkedIn posts of a company 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 companies and 100 posts per company per run (12 companies in total)

- **URL**: https://apify.com/datadoping/linkedin-company-posts-scraper.md
- **Developed by:** [Data Doping](https://apify.com/datadoping) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 366 total users, 56 monthly users, 100.0% runs succeeded, 12 bookmarks
- **User rating**: 2.86 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?

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

🔍 What is LinkedIn Company Posts Scraper?

LinkedIn Company Posts Scraper automates the process of gathering publicly available posts from LinkedIn companies. Simply provide one or more LinkedIn usernames or company 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 company
- Efficient data collection with rate limiting

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

💡 Why Scrape LinkedIn Company 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 companies. 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 company 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 company (minimum 10)

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

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

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

📊 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 personal 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 LinkedIn companies are supported (personal profile 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 companies per run with maximum 100 posts per company
- Premium users have no limits
- Minimum 10 posts per company (configurable maximum)

# Actor input Schema

## `companies` (type: `array`):

List of LinkedIn company identifiers, URLs, or URNs to scrape posts from. Enter one identifier/URL per line. URLs will be automatically converted to identifiers.

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

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

## Actor input object example

```json
{
  "companies": [
    "google"
  ],
  "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 = {
    "companies": [
        "google"
    ],
    "max_posts": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadoping/linkedin-company-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 = {
    "companies": ["google"],
    "max_posts": 100,
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadoping/linkedin-company-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/dRMwHz7Yx7Q4LGVFM/builds/a0PDHPbdemPywgJ5X/openapi.json