# Linkedin Profile Scraper with Email & Company Data (No Cookie) (`datadoping/linkedin-profile-scraper`) Actor

For just $3 per 1,000 profiles, LinkedIn Profile with Email & Company Data and get complete lead information, including verified emails, using their username, URL, or URN.

This advanced scraper integrates with tools like Apollo, Hunter, Lusha etc. to ensure accurate and up-to-date email data.

- **URL**: https://apify.com/datadoping/linkedin-profile-scraper.md
- **Developed by:** [Data Doping](https://apify.com/datadoping) (community)
- **Categories:** Automation, Social media, Lead generation
- **Features:** Limited permissions
- **Stats:** 5,917 total users, 1,185 monthly users, 100.0% runs succeeded, 62 bookmarks
- **User rating**: 3.45 out of 5 stars

## Pricing

from $3.00 / 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.
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

🔍 What is LinkedIn Profile Scraper?

LinkedIn Profile Scraper automates the process of gathering publicly available profile information from LinkedIn. Simply provide one or more LinkedIn usernames or profile URLs, and the scraper will fetch comprehensive details such as:

**Basic Information:**

- Full name and username
- Professional headline
- Profile picture and background image
- About section
- Location information

**Professional Details:**

- Current company and position
- Work experience history
- Education background
- Connection and follower counts
- Premium status indicators

**Additional Data:**

- Creator and influencer status
- Profile verification status
- Contact information (when available)
- Company logos and URLs

All extracted data is limited strictly to public information—nothing private or sensitive is collected.

💡 Why Scrape LinkedIn Profiles?

LinkedIn profiles provide valuable insights for professionals and businesses:

🔎 **Professional Networking**: Identify potential business partners, clients, or employees in your industry.

🧠 **Competitive Analysis**: Research competitors' team members and their professional backgrounds.

📈 **Lead Generation**: Find decision-makers and key contacts for B2B outreach campaigns.

🤝 **Recruitment**: Source candidates with specific skills and experience.

📊 **Market Research**: Analyze industry trends and professional patterns.

🎯 **Sales Intelligence**: Gather insights about prospects before reaching out.

⚖️ Is it Legal to Scrape LinkedIn Data?

We prioritize ethical scraping practices.

This scraper only extracts information that users have chosen to display publicly on their LinkedIn profiles. It does not access private data, restricted content, or information behind login walls. All data collection follows LinkedIn's robots.txt guidelines and respects rate limits.

🚀 How to Use

1. **Input Format**: Provide LinkedIn usernames or full profile URLs
   - Username: `aviv-tal-75b81`
   - URL: `https://linkedin.com/in/aviv-tal-75b81`
   - URL: `linkedin.com/in/aviv-tal-75b81`

2. **Rate Limits**: The scraper respects LinkedIn's rate limits

3. **Error Handling**: Invalid usernames, company profiles, or malformed URLs will be logged as errors in the dataset

📊 Output Data Structure

The scraper returns comprehensive profile data including:

- **Personal Info**: Name, headline, location, about section
- **Professional Info**: Current company, experience history, education
- **Social Metrics**: Follower count, connection count, premium status
- **Media**: Profile pictures, background images, company logos
- **Metadata**: Input tracking, success status, error messages

🔧 Technical Features

- **URL Processing**: Automatically converts LinkedIn URLs to usernames
- **Input Validation**: Validates usernames and detects company profiles
- **Error Handling**: Comprehensive error reporting for failed requests
- **Rate Limiting**: Built-in delays to respect API limits
- **Resume Capability**: Can resume interrupted scraping sessions
- **Concurrent Processing**: Multiple workers for efficient data collection

⚠️ Important Notes

- Only personal LinkedIn profiles are supported (company pages will return errors)
- All data is publicly available information only
- Respects LinkedIn's terms of service and rate limits

# Actor input Schema

## `profiles` (type: `array`):

List of LinkedIn vanity names or profile URLs (with or without https://, with or without a trailing slash). Company URLs are rejected.

## `isEmailRequired` (type: `boolean`):

When enabled, the scraper tries harder to find and validate a public email address (may take longer).

## Actor input object example

```json
{
  "profiles": [
    "williamhgates"
  ],
  "isEmailRequired": 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 = {
    "profiles": [
        "williamhgates"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadoping/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 = { "profiles": ["williamhgates"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadoping/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/oJMZe85C0opC0xcx2/builds/99cxzFvmEqgTfrJ7M/openapi.json