# LinkedIn Profile Scraper 💼 - Cheap (`contactminerlabs/linkedin-profile-scraper---cheap`) Actor

🔍 Scrape Mass/Bulk LinkedIn Profiles

Enter a keyword & extract relevant LinkedIn profiles, including username, full name, headline, company, bio & URL 📊
Perfect for lead generation, recruitment, B2B outreach, talent sourcing & enriching your data pipelines across Google Sheets & automation tools

- **URL**: https://apify.com/contactminerlabs/linkedin-profile-scraper---cheap.md
- **Developed by:** [ContactMinerLabs](https://apify.com/contactminerlabs) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Stats:** 39 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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 – Fast, Accurate & Simple 🚀

The LinkedIn Profile Scraper is a powerful and efficient tool that extracts clean, structured data from public LinkedIn profiles based on a keyword search.
Perfect for lead generation, recruitment, B2B outreach, market research, and competitor analysis.

### 🔍 What This Scraper Does

Provide a keyword and the number of profiles you want to extract — the scraper will automatically search LinkedIn for matching profiles and return structured, high-quality data.

✅ It extracts:

| Field         | Description                                             |
| ------------- | ------------------------------------------------------- |
| `username`    | The LinkedIn profile handle / unique identifier         |
| `profileName` | Full name of the person                                 |
| `profileUrl`  | Direct link to the LinkedIn profile                     |
| `headline`    | Professional headline (job title, position, or tagline) |
| `company`     | Current company (if publicly available)                 |
| `location`    | Profile location                                        |
| `connections` | Number of connections (if visible: 500+, 1000+, etc.)   |
| `bio`         | About section / summary                                 |
| `snippet`     | Preview text combining headline + about summary         |
| `platform`    | Always `"LinkedIn"`                                     |
| `thumbnail`   | Profile picture URL                                     |

### 🛠 How to Use the Scraper

Using the LinkedIn Profile Scraper is extremely simple:

Enter a keyword (e.g. “software engineer”, “CEO”, “AI researcher”)

Set the maximum number of profiles you want to scrape

Run the scraper

Export your structured results

💾 Export options:

```
📦 JSON
📊 CSV
📑 Excel
🌐 XML / HTML
```

### 💡 Keyword Tips

🔹 Use broad keywords for large datasets (developer, manager, marketing)

🔹 Use niche keywords for targeted outreach (AI engineer, HR director, SaaS founder)

🔹 Add qualifiers for precision (senior developer, fintech analyst, supply chain manager)

### 👻 Platform

This scraper targets Linkedin exclusively and collects data only from public profiles.

### 💰 Pricing

This scraper uses a simple monthly subscription model.
You pay only $4.99/month, and only for successful results.

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***

### 🌟 Why Use This Scraper?

🧲 Lead Generation – Find high-value LinkedIn prospects

📢 Outreach – Build targeted B2B contact lists

📊 Market Research – Analyze industries, job titles, and regions

🤖 Automation – Save hours of manual LinkedIn searching

🧠 AI/ML Training – Build structured datasets for enterprise models

### 📥 Input Schema

Input example :

```
{
  "KEYWORD": "ai",
  "MAX_ITEMS": 30
}



```

Input Fields:

| Field       | Type    | Description                            |
| ----------- | ------- | -------------------------------------- |
| `KEYWORD`   | string  | Keyword used to find relevant profiles |
| `MAX_ITEMS` | integer | Maximum number of profiles to extract  |

### Output Example 🧾

```
{
  "username": "john-doe-9823",
  "profileName": "John Doe",
  "profileUrl": "https://www.linkedin.com/in/john-doe-9823/",
  "headline": "Senior Software Engineer at Google",
  "company": "Google",
  "location": "San Francisco, CA",
  "connections": "500+",
  "bio": "Experienced engineer specializing in distributed systems, cloud architecture, and AI.",
  "snippet": "Senior Software Engineer at Google — Experienced in distributed systems & cloud architecture.",
  "platform": "LinkedIn",
  "thumbnail": "//external-content.duckduckgo.com/ip3/www.linkedin.com.ico"
}



```

### 📫 Support

If you're satisfied with this scraper, please leave a ★★★★★ rating!
For questions, feature requests, custom scrapers, or business inquiries, feel free to reach out via Apify — [ContactMinerLabs 🌩️](https://apify.com/contactminerlabs)

# Actor input Schema

## `KEYWORD` (type: `string`):

Keyword to search for

## `MAX_ITEMS` (type: `integer`):

Maximum number of items to extract

## Actor input object example

```json
{
  "KEYWORD": "ai",
  "MAX_ITEMS": 10
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "KEYWORD": "ai",
    "MAX_ITEMS": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("contactminerlabs/linkedin-profile-scraper---cheap").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 = {
    "KEYWORD": "ai",
    "MAX_ITEMS": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("contactminerlabs/linkedin-profile-scraper---cheap").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "KEYWORD": "ai",
  "MAX_ITEMS": 10
}' |
apify call contactminerlabs/linkedin-profile-scraper---cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=contactminerlabs/linkedin-profile-scraper---cheap",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WVls0VIPbsccAks6t/builds/4cpak34rdjjIysbFW/openapi.json