# LinkedIn Profile Details Scraper 👤 \[No Cookies] — $3/1K 💰 (`viralanalyzer/linkedin-profile-scraper-pro`) Actor

Extract rich LinkedIn profiles without cookies or login: name, headline, experience, education, skills, about summary, and contact links. Only $3/1K profiles.

- **URL**: https://apify.com/viralanalyzer/linkedin-profile-scraper-pro.md
- **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 profile scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## LinkedIn Profile Details Scraper 👤 \[No Cookies Required] — Only $3/1K 💰

Scrape comprehensive public LinkedIn profile data instantly without logging in, without exporting session cookies, and with zero risk to your LinkedIn account.

***

### ⚡ Key Advantages over Competitors

- **No Cookies / No Login Required**: Never risk your personal or company LinkedIn accounts.
- **Ultra-Affordable**: Only **$0.003 per profile** ($3.00 per 1,000 profiles) — 40% cheaper than API Maestro ($5/1K).
- **Fast HTTP Execution**: Runs in 2–5 seconds per profile with lightweight compute.
- **Rich Structured Output**: Extracts full work history, company affiliations, education, public contact links, and posts.

***

### 📊 Extracted Data Fields

Each profile result contains clean, normalized JSON fields:

```json
{
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "jobTitle": "Chairman and CEO",
  "currentCompany": "Microsoft",
  "companyUrl": "https://www.linkedin.com/company/microsoft",
  "location": "Greater Seattle Area, US",
  "address": {
    "locality": "Redmond",
    "region": "Washington",
    "country": "US"
  },
  "summary": "Every company has a mission. What's ours? To empower every person...",
  "profilePicture": "https://media.licdn.com/dms/image/...",
  "experience": [
    {
      "company": "Microsoft",
      "companyUrl": "https://www.linkedin.com/company/microsoft",
      "location": "Greater Seattle Area"
    }
  ],
  "education": [
    {
      "school": "The University of Chicago Booth School of Business",
      "startDate": "1994",
      "endDate": "1996"
    }
  ],
  "recentPosts": [
    {
      "headline": "...",
      "datePublished": "2026-08-15T...",
      "url": "https://www.linkedin.com/posts/..."
    }
  ],
  "profileUrl": "https://www.linkedin.com/in/satyanadella",
  "scrapedAt": "2026-08-19T03:55:00.000Z"
}
```

***

### 🚀 How to Use

1. Paste one or more LinkedIn profile URLs (e.g. `https://www.linkedin.com/in/satyanadella` or `williamhgates`).
2. Set your desired `maxProfiles` limit.
3. Run the actor and download data as **JSON, CSV, Excel, or export directly to Zapier / Make / Clay**.

# Actor input Schema

## `profileUrls` (type: `array`):

List of LinkedIn public profile URLs or usernames (e.g. \['https://www.linkedin.com/in/satyanadella', 'williamhgates']).

## `maxProfiles` (type: `integer`):

Maximum number of LinkedIn profiles to process in this run.

## `proxyConfiguration` (type: `object`):

Select Apify Proxy groups (Residential recommended for high volume scraping).

## Actor input object example

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella"
  ],
  "maxProfiles": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Dataset containing scraped LinkedIn profile details.

# 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 = {
    "profileUrls": [
        "https://www.linkedin.com/in/satyanadella"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("viralanalyzer/linkedin-profile-scraper-pro").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 = { "profileUrls": ["https://www.linkedin.com/in/satyanadella"] }

# Run the Actor and wait for it to finish
run = client.actor("viralanalyzer/linkedin-profile-scraper-pro").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 '{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella"
  ]
}' |
apify call viralanalyzer/linkedin-profile-scraper-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,viralanalyzer/linkedin-profile-scraper-pro"
        }
    }
}

```

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/BFArC6tgw0bnNbg6W/builds/43IKMGrfSYSVPyOQC/openapi.json