# LinkedIn Email Scraper - Bulk Export to CSV, JSON, API (`reapx/linkedin-email-scraper`) Actor

Extract LinkedIn emails in bulk and export to CSV, JSON or API. No cookies, no login. Pay only for rows that return data. Returns email, name, url, domain, title, firstName.

- **URL**: https://apify.com/reapx/linkedin-email-scraper.md
- **Developed by:** [Tarek Etman](https://apify.com/reapx) (community)
- **Categories:** Lead generation, Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.85 / 1,000 emails

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/platform/actors/running/actors-in-store#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 Email Scraper

Extract LinkedIn emails in bulk. Accepts URLs, handles or search terms. No cookies, no login, no account.

### What it does

- linkedin scraping email
- linkedin data protection officer email
- export linkedin contacts with email
- b2b outreach automation: linkedin to email sequence
- download linkedin connections with email addresses
- download linkedin contacts email addresses
- export contact list from linkedin
- extract email from linkedin account

### Output fields

| field | type | description |
|---|---|---|
| `email` | string | email as published on the source page |
| `name` | string | name as published on the source page |
| `url` | string | url as published on the source page |
| `domain` | string | domain as published on the source page |
| `title` | string | title as published on the source page |
| `firstName` | string | firstName as published on the source page |
| `lastName` | string | lastName as published on the source page |
| `scrapedAt` | string | scrapedAt as published on the source page |

### Pricing

| results collected | approximate cost |
|---|---|
| 100 | $1.80 |
| 1,000 | $18.00 |
| 10,000 | $180.00 |

You are charged only for rows that return data. Not-found and error rows are free.

### Input

One required field. Paste URLs, handles or search terms - any mix.

# Actor input Schema

## `targets` (type: `array`):

URLs, handles or search terms — any mix. Each one is resolved to the cheapest route that returns data.

## `maxResults` (type: `integer`):

Stop after this many rows. You are charged per row returned.

## `maxSeconds` (type: `integer`):

Stop cleanly after this long and keep the rows already found.

## `includeEmpty` (type: `boolean`):

Adds an unbilled row for each target with no data. Never charged.

## Actor input object example

```json
{
  "targets": [
    "microsoft.com"
  ],
  "maxResults": 100,
  "maxSeconds": 240,
  "includeEmpty": false
}
```

# Actor output Schema

## `dataset` (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 = {
    "targets": [
        "microsoft.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("reapx/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 = { "targets": ["microsoft.com"] }

# Run the Actor and wait for it to finish
run = client.actor("reapx/linkedin-email-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 '{
  "targets": [
    "microsoft.com"
  ]
}' |
apify call reapx/linkedin-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reapx/linkedin-email-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/ZL3vMu7EScZcptl7T/builds/YWiHLpUHggfy4tVAX/openapi.json