# Mass Linkedin Email Scraper (`scraper-mind/linkedin-email-scraper`) Actor

\[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] The Mass/Bulk LinkedIn Email Scraper efficiently extracts email addresses from LinkedIn profiles based on targeted keywords. Perfect for recruitment, sales outreach, and networking, it offers fast, accurate results at 50% lower costs than competitors.

- **URL**: https://apify.com/scraper-mind/linkedin-email-scraper.md
- **Developed by:** [Scraper Mind](https://apify.com/scraper-mind) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 3,215 total users, 21 monthly users, 98.7% runs succeeded, 87 bookmarks
- **User rating**: 4.65 out of 5 stars

## Pricing

$5.00/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 Email Scraper — Fast, Accurate & Affordable

The **LinkedIn Email Scraper** allows you to extract email addresses and professional information from LinkedIn profiles using specific keywords and location filters. Ideal for recruitment, sales outreach, networking, and research — all at **50% less cost** than competing tools.

***

### 🌟 Key Features

| Feature                           | Description |
|-----------------------------------|-------------|
| 🔍 **Keyword-Based Search**        | Search profiles using one or multiple keywords (e.g., "data analyst", "marketing"). |
| 📍 **Location Filtering**          | Narrow down results by geographic location (e.g., "New York", "London"). |
| 📧 **Domain-Based Email Extraction** | Extract emails from specific domains (e.g., `@gmail.com`, `@company.com`). |
| 🔗 **Direct LinkedIn Links**       | Get clickable URLs to connect or message professionals directly. |
| ⚡ **Fast, Accurate & Affordable** | Delivers accurate data at half the cost of competitors. |
| 🔄 **Automatic Pagination**        | Seamlessly navigate multiple search result pages. |
| 🧱 **Scalable & Proxy-Ready**      | Easily scale from small to large jobs using Apify proxy configurations. |

***

### 📥 Input Format

Below is the structure of the accepted `input.json` for this Actor:

```json
{
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "keywords": [
    "marketing"
  ],
  "location": "new york",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

#### 🔧 Input Parameters

| Field              | Type    | Required | Description |
|--------------------|---------|----------|-------------|
| `keywords`         | Array   | ✅ Yes    | List of keywords to search for on LinkedIn. |
| `location`         | String  | ❌ No     | Filter results by a specific geographic location. |
| `platform`         | String  | ❌ No     | Defaults to `Linkedin` to ensure platform-specific searches. |
| `customDomains`    | Array   | ❌ No     | Specify email domains to filter results (e.g., `@gmail.com`). |
| `proxyConfiguration` | Object | ❌ No     | Use proxies to prevent rate-limiting during large-scale scraping. |

***

### 📤 Output Format

The scraper returns a JSON array with details about each extracted LinkedIn profile:

```json
[
  {
    "keyword": "marketing",
    "title": "Kallie Ankeny - Senior Manager, Marketing and Creative ...",
    "description": "Senior Marketing Manager at The New York Times · kallie.ankeny@gmail.com ...",
    "url": "https://www.linkedin.com/in/kallie-ankeny",
    "email": "kallie.ankeny@gmail.com"
  }
]
```

#### 🧾 Output Fields

| Field         | Description |
|---------------|-------------|
| `keyword`     | The keyword used to find this profile. |
| `title`       | The LinkedIn headline/title of the person. |
| `description` | A summary including the name, job title, company, email, and more. |
| `url`         | Direct link to the LinkedIn profile. |
| `email`       | Extracted email address from the profile. |

***

### 💻 How to Use

1. **Input Your Keywords & Filters**: Define your target keywords, location, and email domains.
2. **Run the Scraper**: Start the Actor in Apify or your preferred environment.
3. **Optional Proxy Setup**: Use Apify proxies (Datacenter, Residential, or Special) for large-scale jobs.
4. **Export the Results**: Download output in JSON, CSV, or Excel for easy use in CRM or marketing tools.

***

### 🎯 Best Use Cases

- 🧑‍💼 **Recruitment** – Find qualified candidates and reach them directly via email.
- 💼 **Sales & Lead Generation** – Target decision-makers in your niche with custom outreach.
- 🧠 **Market Research** – Analyze professionals in specific industries or regions.
- 🤝 **Professional Networking** – Discover and connect with like-minded professionals.

***

### Related Scrapers

Here are some other useful scrapers you might find helpful for extracting emails, phone numbers, and content from popular platforms:

- [Linkedin Email Scraper](https://apify.com/scraper-mind/linkedin-email-scraper)
- [Instagram Email Scraper](https://apify.com/scraper-mind/instagram-email-scraper)
- [Instagram Profile Email Scraper](https://apify.com/scraper-mind/instagram-profile-email-scraper)
- [Tiktok Email Scraper](https://apify.com/scraper-mind/tiktok-email-scraper)
- [Linkedin Phone Number Scraper](https://apify.com/scraper-mind/linkedin-phone-number-scraper)
- [Instagram Video Downloader](https://apify.com/scraper-mind/instagram-video-downloader)
- [Telegram Phone Number Scraper](https://apify.com/scraper-mind/telegram-phone-number-scraper)
- [Instagram Phone Number Scraper](https://apify.com/scraper-mind/instagram-phone-number-scraper)
- [Tiktok Profile Email Scraper](https://apify.com/scraper-mind/tiktok-profile-email-scraper)
- [Etsy Email Scraper](https://apify.com/scraper-mind/etsy-email-scraper)
- [Zillow Email Scraper](https://apify.com/scraper-mind/zillow-email-scraper)
- [Youtube Email Scraper](https://apify.com/scraper-mind/youtube-email-scraper)
- [Threads Email Scraper](https://apify.com/scraper-mind/threads-email-scraper)
- [Twitter Email Scraper](https://apify.com/scraper-mind/twitter-email-scraper)

### 🆘 Support & Feedback

💬 For bugs, issues, or feature requests, please open a ticket in the **Issues** section of the repository.

📩 Need a custom solution or enterprise features? Reach out to us at <scrapermindapi@gmail.com>.

### Disclaimer

All data collected by these scrapers comes strictly from **publicly available sources**. No information is ever taken from private accounts or password-protected content. As the end user, you are solely responsible for ensuring compliance with all applicable laws, including spam regulations, privacy policies, and data protection requirements. Please make sure to respect website's terms of service as well as any platform rate limits when using these tools.

If you would like your data removed, you can send a request to **<scrapermindapi@gmail.com>**. Always use these scrapers responsibly and ethically, and only for legitimate research or business purposes.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords to search for.

## `location` (type: `string`):

Location to filter search results.

## `platform` (type: `string`):

Select platform.

## `customDomains` (type: `array`):

List of custom email domains

## `maxEmails` (type: `integer`):

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## `engine` (type: `string`):

Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive.

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

Configure proxies for this Actor.

## Actor input object example

```json
{
  "keywords": [
    "founder",
    "marketing"
  ],
  "location": "",
  "platform": "Linkedin",
  "customDomains": [
    "@gmail.com"
  ],
  "maxEmails": 20,
  "engine": "legacy"
}
```

# 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 = {
    "keywords": [
        "founder",
        "marketing"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper-mind/linkedin-email-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 = {
    "keywords": [
        "founder",
        "marketing",
    ],
    "location": "",
    "customDomains": ["@gmail.com"],
}

# Run the Actor and wait for it to finish
run = client.actor("scraper-mind/linkedin-email-scraper").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 '{
  "keywords": [
    "founder",
    "marketing"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com"
  ]
}' |
apify call scraper-mind/linkedin-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/SqZ6OgDP3Kf3CwVL9/builds/r5v9MGrsSBA9EghHO/openapi.json