# Linkedin Comapany Post Without Cookies (`getdataforme/linkedin-comapany-post-without-cookies`) Actor

Extract LinkedIn company posts without cookies for privacy and compliance. Offers high-quality, accurate data with fast processing and customizable output. User-friendly interface supports both technical and non-technical users....

- **URL**: https://apify.com/getdataforme/linkedin-comapany-post-without-cookies.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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

***

### README.md

## Linkedin Company Post Without Cookies

Welcome to "Linkedin Company Post Without Cookies," a powerful tool designed to extract valuable insights from LinkedIn company posts without the need for cookies. This Actor enables seamless data collection directly from LinkedIn, ensuring high-quality and reliable information that can drive informed business decisions.

### Features

- **Cookie-Free Extraction**: Operates without requiring cookies, enhancing privacy and compliance.
- **High Data Quality**: Provides accurate and up-to-date information from LinkedIn posts.
- **Efficient Performance**: Fast processing with minimal resource usage for large-scale data extraction.
- **Customizable Output**: Tailor the output format to suit your specific needs.
- **User-Friendly Interface**: Easy setup and execution, suitable for both technical and non-technical users.

### Input Parameters

| Parameter | Type   | Required | Description                                      | Example                     |
|-----------|--------|----------|--------------------------------------------------|-----------------------------|
| companyId | String | Yes      | The unique identifier of the LinkedIn company.    | "123456789"                 |
| postLimit | Number | No       | Maximum number of posts to retrieve (default: 10)| 20                          |

### Example Usage

#### Input JSON

```json
{
  "companyId": "123456789",
  "postLimit": 5
}
```

#### Output JSON

```json
{
  "status": {
    "message": "Success",
    "code": 200,
    "isRunning": false
  },
  "data": {
    "company_id": "123456789",
    "posts": [
      {
        "id": "VnRgY4W7lWdaJHTNk",
        "text": "Exciting news! We're launching a new product...",
        "created_at": "2023-10-01T12:00:00Z",
        "likes_count": 150,
        "comments_count": 20,
        "shares_count": 5
      }
    ],
    "actor_id": "VnRgY4W7lWdaJHTNk",
    "run_id": "s7NbSRygDYguqLAnR"
  }
}
```

### Use Cases

- **Market Research and Analysis**: Gain insights into industry trends and competitor activities.
- **Competitive Intelligence**: Monitor competitors' strategies and performance metrics.
- **Price Monitoring**: Track pricing changes and promotions in real-time.
- **Content Aggregation**: Collect and analyze content for strategic planning.
- **Academic Research**: Use data for studies on social media impact and business communication.
- **Business Automation**: Integrate with workflows to automate data-driven decision-making.

### Installation and Usage

1. Search for "Linkedin Company Post Without Cookies" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output data includes:

- **company\_id**: The unique identifier of the LinkedIn company.
- **posts**: An array of post objects containing:
  - **id**: Unique post identifier.
  - **text**: Content of the post.
  - **created\_at**: Timestamp of when the post was created.
  - **likes\_count**: Number of likes received.
  - **comments\_count**: Number of comments received.
  - **shares\_count**: Number of shares.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `SearchQuery` (type: `array`):

The search query for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "SearchQuery": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/linkedin-comapany-post-without-cookies").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/linkedin-comapany-post-without-cookies").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 '{}' |
apify call getdataforme/linkedin-comapany-post-without-cookies --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/linkedin-comapany-post-without-cookies"
        }
    }
}

```

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/VnRgY4W7lWdaJHTNk/builds/IOsb8nSPFFVS6UAdJ/openapi.json