# 🚀 LinkedIn Profile Scraper ⚡ No Login Required (`vulnv/linkedin-profile-scraper`) Actor

Extract comprehensive data from public LinkedIn user profiles including work experience, education, skills, connections, and activity. Bulk processing supported. No LinkedIn authentication needed - just provide profile URLs and get structured JSON data.

- **URL**: https://apify.com/vulnv/linkedin-profile-scraper.md
- **Developed by:** [VulnV](https://apify.com/vulnv) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Features:** Limited permissions
- **Stats:** 1,324 total users, 88 monthly users, 100.0% runs succeeded, 19 bookmarks
- **User rating**: 2.08 out of 5 stars

## Pricing

from $0.0026 / result

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

## 🚀 LinkedIn Profile Scraper ⚡ No Login Required

### Overview

The **LinkedIn Profile Scraper** is an Apify Actor that extracts structured data from **public LinkedIn profiles** at scale. It’s ideal for professionals in lead generation, recruitment, research, or CRM enrichment — with **no LinkedIn login, cookies, or browser automation required**.

✅ No LinkedIn login required | ✅ Bulk profile processing | ✅ Structured JSON output | ✅ High success rate

***

#### **Complete Profile Data**

- **Basic Information** — Profile ID, name, headline, location
- **Professional Summary** — About section content
- **Current Position** — Company name, role, company LinkedIn page
- **Work Experience** — Complete employment history with dates and descriptions
- **Education** — Schools, degrees, years attended
- **Skills & Certifications** — Professional skills and certifications
- **Network Data** — Follower and connection counts
- **Profile Images** — Avatar and banner image URLs
- **Recent Activity** — Liked posts and engagement data
- **Related Profiles** — "People also viewed" suggestions

#### **Key Features**

- **No Authentication Required** — Works without LinkedIn cookies or login
- **Bulk Processing** — Handle multiple profile URLs in one run
- **Clean JSON Output** — Structured, ready-to-use data format
- **Real-time Processing** — Monitor extraction progress
- **High Reliability** — Built-in retry mechanisms and error handling

***

### 🧾 Input Configuration

Submit an array of LinkedIn profile URLs via Apify’s input:

```json
{
  "urls": [
    "https://www.linkedin.com/in/williamhgates/",
    "https://www.linkedin.com/in/mark-cuban-06a0755b/"
  ]
}
```

***

### 📤 Output Format

Each profile will return structured fields such as:

```json
{
  "id": "jordan-smith-12345678",
  "name": "Jordan Smith",
  "city": "San Francisco",
  "country_code": "US",
  "about": "Technology leader with a passion for building scalable web platforms. Over 10 years of experience in SaaS startups.",
  "current_company": {
    "name": "Nimbus Cloud",
    "link": "https://www.linkedin.com/company/nimbus-cloud/",
    "company_id": "nimbus-cloud"
  },
  "people_also_viewed": [
    { "name": "Taylor Evans", "profile_link": "https://linkedin.com/in/taylor-evans", "location": "Los Angeles, CA" },
    { "name": "Morgan Lee", "profile_link": "https://linkedin.com/in/morgan-lee", "location": "New York, NY" }
  ],
  "education": [
    {
      "title": "University of California, Berkeley",
      "start_year": "2010",
      "end_year": "2014"
    }
  ],
  "courses": [
    { "title": "Machine Learning Fundamentals" },
    { "title": "Product Management Bootcamp" }
  ],
  "followers": 912,
  "connections": 500,
  "projects": [
    {
      "title": "Launched Nimbus Sync Platform",
      "start_date": "Jan 2022",
      "end_date": "Present",
      "description": "Developed a real-time data sync engine used by over 100,000 users."
    }
  ],
  "activity": [
    {
      "interaction": "Liked by Jordan Smith",
      "link": "https://linkedin.com/posts/example123",
      "title": "Excited to announce our new funding round!",
      "img": "https://media.licdn.com/example123.jpg"
    }
  ],
  "avatar": "https://media.licdn.com/avatars/jordan-smith.jpg",
  "banner_image": "https://media.licdn.com/banners/banner123.jpg",
  "timestamp": "2025-08-02T16:50:01.333Z",
  "input_url": "https://www.linkedin.com/in/jordan-smith-12345678/"
}
```

***

### 📊 Output & Export

#### **Dataset Storage**

- All extracted data is stored in your Apify dataset
- Each profile becomes one dataset item
- Failed extractions are logged with error details

#### **Export Formats**

- **JSON** — Raw structured data for API integration
- **CSV** — Spreadsheet-compatible format
- **Excel** — Formatted spreadsheet with multiple sheets

***

### 💼 Common Use Cases

#### **Lead Generation & Sales**

- Extract prospect information for outreach campaigns
- Enrich existing lead databases with professional details
- Build comprehensive contact lists with work history

#### **Recruitment & Talent Sourcing**

- Research candidate backgrounds and experience
- Build talent pipelines with detailed professional profiles
- Analyze skills and career progression patterns

#### **Market Research**

- Study industry professionals and career trends
- Analyze competitor team structures and expertise
- Research target market demographics and backgrounds

#### **CRM Data Enrichment**

- Automatically update contact records with LinkedIn data
- Fill missing profile information in bulk
- Maintain current professional information for contacts

***

### ✅ Example Use

```json
{
  "urls": [
    "https://www.linkedin.com/in/sample-profile/"
  ]
}
```

After execution, the dataset will contain a full snapshot of the profile(s) with structured fields.

***

📬 **Custom fields, higher volume, or a managed data pipeline?** Email us at <apify@vulnv.com> — we build bespoke scrapers and managed feeds for teams. Questions and feature requests welcome too, or visit our [Apify profile](https://apify.com/vulnv).

# Actor input Schema

## `urls` (type: `array`):

Enter the Linkedin URLs of the people, you want to enrich data.

## `resolveEmails` (type: `boolean`):

Enable email resolution to find email addresses for LinkedIn profiles.

## Actor input object example

```json
{
  "urls": [
    "https://www.linkedin.com/in/williamhgates/",
    "https://www.linkedin.com/in/mark-cuban-06a0755b/"
  ],
  "resolveEmails": false
}
```

# 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 = {
    "urls": [
        "https://www.linkedin.com/in/williamhgates/",
        "https://www.linkedin.com/in/mark-cuban-06a0755b/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("vulnv/linkedin-profile-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 = { "urls": [
        "https://www.linkedin.com/in/williamhgates/",
        "https://www.linkedin.com/in/mark-cuban-06a0755b/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("vulnv/linkedin-profile-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 '{
  "urls": [
    "https://www.linkedin.com/in/williamhgates/",
    "https://www.linkedin.com/in/mark-cuban-06a0755b/"
  ]
}' |
apify call vulnv/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vulnv/linkedin-profile-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/EacyHlzi4GOX8oMge/builds/TNmK1FixzkWEwcLyq/openapi.json