# LinkedIn Scraper (Zero-Auth, Profiles, Companies, Posts) (`signalqub/linkedin-scraper-zero-auth-profiles-companies-posts`) Actor

Extract comprehensive LinkedIn data without logging in or risking bans. Instantly scrape user profiles, company pages, specific posts, and global keyword searches into clean, structured data.

- **URL**: https://apify.com/signalqub/linkedin-scraper-zero-auth-profiles-companies-posts.md
- **Developed by:** [OluwaNifemi Jacob](https://apify.com/signalqub) (community)
- **Stats:** 2 total users, 1 monthly users, 92.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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

## 🚀 Ultimate LinkedIn Scraper (Zero-Auth)

[![Powered by SignalQub](https://img.shields.io/badge/Powered%20By-SignalQub%20API-blue?style=flat-square)](https://signalqub.com)
[![Status](https://img.shields.io/badge/Status-Active%20%26%20Maintained-green?style=flat-square)](https://signalqub.com)

Scraping LinkedIn is notoriously difficult. Accounts get banned, session cookies expire constantly, and anti-bot systems block headless browsers. **This scraper solves all of that.**

Powered by the **[SignalQub API](https://signalqub.com/endpoints/linkedin)**, this Actor provides lightning-fast, zero-authentication LinkedIn data extraction. Simply supply a profile URL, company handle, or search keyword to extract clean, structured data in seconds. No proxies to configure, no cookies to manage, and zero risk to your personal LinkedIn account.

***

### 🌟 Key Features

- **Zero Authentication Required:** No login credentials, browser session cookies, or proxy pools required.
- **Bypass Anti-Bot Protections:** Automatic IP rotation and fingerprint management via the **[SignalQub Data Engine](https://signalqub.com)**.
- **Unified 5-Column Output:** Normalized schema makes datasets immediately ready for Google Sheets, Airtable, or CRM imports.
- **High-Speed Infrastructure:** Enterprise-grade scraping endpoints engineered for sub-second response times.

***

### 🎯 What Can You Scrape?

Select from 5 extraction modes:

1. **User Profile (`profile`)**: Extract names, headlines, bios, follower counts, connection counts, and avatar links from any public LinkedIn profile URL or handle.
2. **Company Profile (`company`)**: Pull complete corporate metadata including employee size, industry classification, headquarters location, website URLs, and company logos.
3. **Company Posts (`company_posts`)**: Extract chronological posts, updates, and announcements published by target companies.
4. **Search Posts (`search_posts`)**: Perform global keyword searches across LinkedIn public posts. Pull author details, post text, media attachments, like counts, and comment counts.
5. **Single Post (`post`)**: Pass a direct post URL to extract full post copy, engagement analytics, author profiles, and sample comments.

***

### 🛠️ Input Configuration

| Parameter | Type | Required | Description |
| :--- | :--- | :--- | :--- |
| `mode` | Select | **Yes** | Extraction mode (`profile`, `company`, `company_posts`, `search_posts`, `post`). |
| `target` | String | **Yes** | The LinkedIn URL, profile/company handle, or search keyword. |
| `cursor` | String | *No* | Page number (`1`-`7`) for company posts, or cursor string for search pagination. |
| `date_posted` | String | *No* | Date filter for searches (e.g. `past-24h`, `past-week`, `past-month`). |

***

### 📊 Sample Output (5-Column Normalized Schema)

All endpoints output to a clean 5-column schema:

````json
[
  {
    "author": "Satya Nadella",
    "content": "Excited to share our latest breakthroughs in AI infrastructure...",
    "metrics": "Likes: 14230 | Comments: 890",
    "url": "[https://www.linkedin.com/posts/satyanadella_ai-infrastructure](https://www.linkedin.com/posts/satyanadella_ai-infrastructure)...",
    "media": "[https://media.licdn.com/dms/image/](https://media.licdn.com/dms/image/)..."
  }
]

# Actor input Schema

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

Select the LinkedIn API endpoint you want to call.
## `target` (type: `string`):

Enter the target handle, full LinkedIn URL, or search query.
## `cursor` (type: `string`):

Optional pagination cursor (for search) or page number (for company posts).
## `date_posted` (type: `string`):

Optional date filter for searches (e.g., past-24h, past-week).

## Actor input object example

```json
{
  "mode": "profile",
  "target": "satyanadella"
}
````

# Actor output Schema

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

The mapped LinkedIn data stored in the default 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 = {
    "target": "satyanadella"
};

// Run the Actor and wait for it to finish
const run = await client.actor("signalqub/linkedin-scraper-zero-auth-profiles-companies-posts").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 = { "target": "satyanadella" }

# Run the Actor and wait for it to finish
run = client.actor("signalqub/linkedin-scraper-zero-auth-profiles-companies-posts").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 '{
  "target": "satyanadella"
}' |
apify call signalqub/linkedin-scraper-zero-auth-profiles-companies-posts --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,signalqub/linkedin-scraper-zero-auth-profiles-companies-posts"
        }
    }
}
```

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/TwfbdQI8tPUWYLVfZ/builds/lUa7PSxH690gxM4GK/openapi.json