# ⚡️Linkedin Profile Scraper ✅ No cookie ✅ $2 per 1k profiles (`dataweave/linkedin-profile-scraper`) Actor

Scrape unlimited LinkedIn profiles at the lowest price on the market. Extract complete work history, education, skills & certifications without account risk. Live data, 99% success rate, enterprise-grade speed.

- **URL**: https://apify.com/dataweave/linkedin-profile-scraper.md
- **Developed by:** [Data Weave](https://apify.com/dataweave) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 265 total users, 6 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$2.00 / 1,000 profiles

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

## 🚀 LinkedIn Profile Scraper

Extract complete LinkedIn profile data without risking your account. Get work experience, education, skills, certifications, location data and more. Live extraction, enterprise speed, affordable pricing.

***

### ✨ Features

#### 👤 Complete Profile Extraction

Extract comprehensive professional data from any public LinkedIn profile:

- **Personal Information**: Full name, headline, summary, location, profile picture, URN identifiers
- **Work Experience**: Complete job history with company details, positions, descriptions, durations, skills used
- **Education**: Degrees, schools, fields of study, date ranges, duration details
- **Skills & Certifications**: Professional skills list and verified certifications with license numbers
- **Social Metrics**: Premium status, verified badge, creator/influencer flags, profile update timestamps
- **Languages**: Language proficiency levels (Native, Professional, Limited Working, etc.)
- **Company Data**: Current employer details including company URN, LinkedIn URL, and basic info
- **Profile Metadata**: Join date, open-to-work status, entity URNs, and last update information

#### 🔥 Why Choose This Scraper?

✅ **No LinkedIn Account Required** - Zero cookies, zero login, zero risk to your personal account\
✅ **Affordable Pricing** - Cost-effective solution for mass profile extraction\
✅ **Live Real-Time Data** - Fresh information pulled directly from active profiles\
✅ **99%+ Success Rate** - Enterprise-grade reliability with automatic error handling\
✅ **Lightning Fast** - High-speed concurrent processing for bulk operations\
✅ **Structured JSON Output** - Clean, organized data ready for immediate use

***

### 🛠️ How It Works

#### 1️⃣ Input

Provide LinkedIn profile URLs in an array:

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

#### 2️⃣ Run the Scraper

Start the actor to extract rich profile data in real time. Results will be available in Apify's Dataset tab within seconds.

#### 3️⃣ Get Results

Receive comprehensive structured data in JSON format, ready to use in your applications, CRM, or databases.

***

### 📥 Input Example

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

***

### 📤 Output Example

```json
{
  "objectUrn": 123456789,
  "locationName": "San Francisco, California, United States",
  "firstName": "John",
  "lastName": "Smith",
  "headline": "Senior Software Engineer | Tech Innovation | Building scalable solutions",
  "url": "https://www.linkedin.com/in/john-smith-sample",
  "publicIdentifier": "john-smith-sample",
  "summary": "Experienced software engineer passionate about building innovative products...",
  "picture": "https://media.licdn.com/dms/image/profile-photo.jpg",
  "entityUrn": "ACoAABxxxxxBxE_sample",
  "openToWork": false,
  "premium": true,
  "verified": true,
  "creator": false,
  "influencer": false,
  "contactInfoUpdated": "Updated 3 months ago",
  "joinedDate": "January 2015",
  "profilePhotoUpdated": "Updated 6 months ago",
  "certifications": [
    {
      "startYear": 2022,
      "startMonth": 6,
      "durationMonth": 0,
      "durationYear": 3,
      "name": "AWS Certified Solutions Architect",
      "authority": "Amazon Web Services",
      "setLicenseNumber": "AWS-SA-12345"
    },
    {
      "startYear": 2020,
      "startMonth": 3,
      "endYear": 2025,
      "endMonth": 3,
      "durationMonth": 1,
      "durationYear": 5,
      "name": "Google Cloud Professional",
      "authority": "Google Cloud",
      "url": "https://cloud.google.com/certification",
      "setLicenseNumber": "GCP-12345"
    }
  ],
  "educations": [
    {
      "startYear": 2010,
      "startMonth": 9,
      "endYear": 2014,
      "endMonth": 6,
      "durationMonth": 10,
      "durationYear": 3,
      "degreeName": "Bachelor of Science",
      "fieldOfStudy": "Computer Science",
      "schoolName": "Stanford University"
    },
    {
      "startYear": 2014,
      "startMonth": 9,
      "endYear": 2016,
      "endMonth": 6,
      "durationMonth": 10,
      "durationYear": 1,
      "degreeName": "Master of Science",
      "fieldOfStudy": "Artificial Intelligence",
      "schoolName": "Massachusetts Institute of Technology"
    }
  ],
  "positions": [
    {
      "startYear": 2023,
      "startMonth": 1,
      "durationMonth": 11,
      "durationYear": 2,
      "companyName": "Tech Solutions Inc",
      "companyUrn": 987654,
      "companyUrl": "https://www.linkedin.com/company/987654",
      "title": "Senior Software Engineer",
      "description": "- Leading development of cloud-based solutions\n- Mentoring junior developers\n- Architecture design and implementation",
      "locationName": "San Francisco, CA",
      "skills": "Skills: Python · JavaScript · AWS · Docker · Kubernetes",
      "current": true
    },
    {
      "startYear": 2020,
      "startMonth": 3,
      "endYear": 2023,
      "endMonth": 1,
      "durationMonth": 11,
      "durationYear": 2,
      "companyName": "Tech Solutions Inc",
      "companyUrn": 987654,
      "companyUrl": "https://www.linkedin.com/company/987654",
      "title": "Software Engineer",
      "description": "- Developed microservices architecture\n- Implemented CI/CD pipelines\n- Collaborated with cross-functional teams",
      "skills": "Skills: Node.js · React · MongoDB · Git",
      "current": false
    },
    {
      "startYear": 2016,
      "startMonth": 7,
      "endYear": 2020,
      "endMonth": 2,
      "durationMonth": 8,
      "durationYear": 3,
      "companyName": "StartupXYZ",
      "companyUrn": 123789,
      "companyUrl": "https://www.linkedin.com/company/123789",
      "title": "Full Stack Developer",
      "description": "- Built web applications from scratch\n- Managed database design and optimization\n- Participated in agile development process",
      "skills": "Skills: Ruby on Rails · PostgreSQL · Redis · HTML/CSS",
      "current": false
    }
  ],
  "skills": [
    {
      "skillName": "Python"
    },
    {
      "skillName": "JavaScript"
    },
    {
      "skillName": "AWS"
    },
    {
      "skillName": "Docker"
    },
    {
      "skillName": "Kubernetes"
    },
    {
      "skillName": "Node.js"
    },
    {
      "skillName": "React"
    },
    {
      "skillName": "MongoDB"
    },
    {
      "skillName": "System Design"
    },
    {
      "skillName": "Microservices"
    }
  ],
  "languages": [
    {
      "name": "English",
      "level": "NATIVE_OR_BILINGUAL"
    },
    {
      "name": "Spanish",
      "level": "PROFESSIONAL_WORKING"
    },
    {
      "name": "French",
      "level": "LIMITED_WORKING"
    }
  ]
}
```

***

### 📊 Output Data Structure

The scraper returns comprehensive profile data including:

- Personal Info: Name, headline, location, summary, profile URLs, URN identifiers
- Professional Info: Current company, complete experience history with descriptions and skills, education details
- Social Metrics: Premium status, verified badge, creator/influencer status, profile update timestamps
- Certifications: Certificates with authority, license numbers, URLs, and validity periods
- Languages: Language proficiency levels (Native, Professional, Limited Working, Elementary)
- Skills: Comprehensive list of professional skills
- Media: Profile pictures and company URLs
- Metadata: Join date, open-to-work status, entity URNs, contact info update dates

***

### 💡 Use Cases

#### 🔎 Lead Generation & Sales

- Find decision-makers and key contacts for B2B outreach
- Build targeted prospect lists with verified professional data
- Enrich CRM data with up-to-date LinkedIn information

#### 🤝 Recruitment & Talent Sourcing

- Source candidates with specific skills and experience
- Build talent pools for future hiring needs
- Research professional backgrounds before interviews

#### 📊 Market Research & Competitive Analysis

- Analyze industry trends and professional patterns
- Research competitors' team structures and key personnel
- Track workforce movements and hiring trends

#### 🌐 Professional Networking

- Identify potential business partners and collaborators
- Map industry connections and relationships
- Build contact databases for networking events

***

**Categories**: Developer tools | Lead generation | Social media

# Actor input Schema

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

List of linkedin URLs to send to your API

## Actor input object example

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

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dataweave/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"] }

# Run the Actor and wait for it to finish
run = client.actor("dataweave/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"
  ]
}' |
apify call dataweave/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dataweave/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/etiW1XfulkpulZA4D/builds/XKJ0x7Kf6vlmXN5aK/openapi.json