# LinkedIn Email Finder API (`dev00/linkedin-email-finder-api`) Actor

Find professional business email addresses directly from a LinkedIn Profile URL.

- **URL**: https://apify.com/dev00/linkedin-email-finder-api.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 1,000 linkedin email lookups

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/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 Finder

Find professional business email addresses directly from a LinkedIn Profile URL. This Actor matches target profile identifiers against verified corporate and personal social graphs, returning the verified email address in under 2 seconds.

Perfect for cold outreach, lead generation, sales intelligence, recruitment pipelines, CRM enrichment, and marketing automation.

***

### ⚡ Key Features

1. **Direct Profile Resolution:**
   Resolves standard LinkedIn profile URLs to corresponding verified business email addresses.

2. **Real-time lookup:**
   Provides instant matches, resolving target email addresses in under 2 seconds.

3. **Enterprise Reliability:**
   Built on robust, distributed API logic with fallback resolution mechanisms.

4. **Clean JSON Format:**
   Returns a simple key-value structure of the resolved email, filtering out complex nested schemas for drop-in ease of use.

***

### 📥 Input Parameter Schema

- `linkedin_url` (string, required): The LinkedIn profile URL to resolve (e.g. `https://www.linkedin.com/in/yusufmehdi`).

***

### 📤 Output Dataset Example (JSON)

When execution completes, each record is saved to the default Apify Dataset in the following format:

```json
{
  "status": "success",
  "linkedin_url": "https://www.linkedin.com/in/yusufmehdi",
  "email": "yusuf.mehdi@microsoft.com"
}
```

***

### ❓ Frequently Asked Questions (FAQ)

**Q1: What happens if no email is matched?**
A1: If the search query cannot resolve an email, the Actor returns `"email": null` with a `200 OK` status, preventing processing failures.

**Q2: Are the resolved email addresses verified?**
A2: The Actor queries verified corporate and professional directories to retrieve high-delivery email combinations.

**Q3: Can I run bulk lookups?**
A3: The Actor processes one query per run. For bulk lookups, run runs in parallel or call the API endpoint programmatically.

***

### 🏷️ Keywords:

`linkedin email finder`, `find email from linkedin`, `linkedin to email api`, `linkedin email scraper`, `sales intelligence api`, `lead enrichment tool`, `b2b email finder`.

# Actor input Schema

## `linkedin_url` (type: `string`):

The LinkedIn profile URL to resolve.

## Actor input object example

```json
{
  "linkedin_url": "https://www.linkedin.com/in/yusufmehdi"
}
```

# 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 = {
    "linkedin_url": "https://www.linkedin.com/in/yusufmehdi"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/linkedin-email-finder-api").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 = { "linkedin_url": "https://www.linkedin.com/in/yusufmehdi" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/linkedin-email-finder-api").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 '{
  "linkedin_url": "https://www.linkedin.com/in/yusufmehdi"
}' |
apify call dev00/linkedin-email-finder-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dev00/linkedin-email-finder-api",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oahJHgdkOf9lfxVk6/builds/2Qqic4WIiShYW3paE/openapi.json