# Email to LinkedIn Profile Finder (`dev00/email-to-linkedin-profile-finder`) Actor

Resolve public LinkedIn profile URLs instantly from professional or personal email addresses.

- **URL**: https://apify.com/dev00/email-to-linkedin-profile-finder.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** Social media
- **Stats:** 28 total users, 22 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 email to linkedin profile 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

## Email to LinkedIn Profile Finder

Resolve public LinkedIn profile URLs instantly from professional or personal email addresses. This Actor matches target email addresses against verified business and social graph maps, returning the exact matched LinkedIn URL in under 2 seconds.

Perfect for sales intelligence, lead enrichment, recruitment platforms, marketing automation, CRM synchronization, and identity verification systems.

***

### ⚡ Key Features

1. **High-Accuracy Matchmaking:**
   Resolves verified professional and personal emails to corresponding public LinkedIn usernames and URLs.

2. **Real-time lookup:**
   Provides instant matches, resolving target profiles 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 link, filtering out complex nested schemas for drop-in ease of use.

***

### 📥 Input Parameter Schema

- `email` (string, required): The target email address to look up (e.g. `yusuf_i_mehdi@hotmail.com`).

***

### 📤 Output Dataset Example (JSON)

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

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

***

### ❓ Frequently Asked Questions (FAQ)

**Q1: What format should the email address be in?**
A1: Provide any valid personal (e.g. Gmail, Hotmail) or corporate email address (e.g. name@company.com).

**Q2: What happens if no profile is matched?**
A2: If the email address cannot be matched to a public profile, the API returns `"linkedin_url": null` with a `200 OK` status, preventing processing failures.

**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:

`email to linkedin api`, `linkedin profile finder`, `email lookup linkedin`, `linkedin url resolver`, `sales intelligence api`, `lead enrichment tool`, `b2b email enrichment`.

# Actor input Schema

## `email` (type: `string`):

The target email address to look up.

## Actor input object example

```json
{
  "email": "yusuf_i_mehdi@hotmail.com"
}
```

# 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 = {
    "email": "yusuf_i_mehdi@hotmail.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/email-to-linkedin-profile-finder").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 = { "email": "yusuf_i_mehdi@hotmail.com" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/email-to-linkedin-profile-finder").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 '{
  "email": "yusuf_i_mehdi@hotmail.com"
}' |
apify call dev00/email-to-linkedin-profile-finder --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Zb46WfQ4qgdfhhPZ9/builds/HTOELkyMWb8vNznEd/openapi.json