# LinkedIn Profile Leads Enricher (no cookies) (`olympus/linkedin-profile-enricher`) Actor

Grab verified linkedin leads with emails and phone numbers by using LinkedIn profile links alongside their personal and company details.

- **URL**: https://apify.com/olympus/linkedin-profile-enricher.md
- **Developed by:** [Olympus](https://apify.com/olympus) (community)
- **Categories:** Lead generation
- **Stats:** 10 total users, 8 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $5.00 / 1,000 results

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 Profile Scraper — Emails Included

Hand this Actor a list of LinkedIn profile links, and it hands you back the people behind them: full user details, their company, working email address, phone numbers to reach them at.

No filters to configure, no search queries to tune. Just URLs in, enriched data out.

***

### What it does

Feed it an array of LinkedIn profile URLs and it returns, for every profile:

- **Person details** — name, title, LinkedIn URL, and (when available) email and phone
- **Company details** — the organization they work for, pulled from the same 700M+ record dataset that powers our other scrapers

Email coverage sits around 70–80% for work addresses (higher for US-based profiles) and roughly 40% for personal ones. Phone numbers come through less often about 20% of the time but they're included whenever we have them.

### Input

The only thing this Actor takes is a flat array of profile URLs:

```javascript
{
  "profileUrls": [
    "https://www.linkedin.com/in/profile1",
    "https://www.linkedin.com/in/profile2",
    "https://www.linkedin.com/in/profile3"
  ]
}
```

That's it, no filters, no nested objects. Just links. A single run can carry up to **10,000 profile URLs**.

### It remembers where it left off

Submit the exact same `profileUrls` list twice, whether on purpose or because a run got interrupted and the Actor picks up from the last profile it successfully processed instead of starting the list over. That memory holds for 30 days before resetting.

Change the list even slightly, add a URL, drop one, and it's treated as a new job, tracked fresh.

Cancelling a run partway through can throw this tracking off, so let runs finish when you can.

### Output

Every profile lands in the Apify dataset as one record combining the person's info with their employer's info, ready to drop straight into a CRM, outreach tool, or spreadsheet.

### A couple of notes

- Not every profile will come back with an email, coverage is strong, not guaranteed, and depends on what's publicly available.
- This tool is meant for legitimate outreach and research. You're responsible for using it in line with applicable laws and platform policies; we're not liable for misuse.

***

**Questions?** olympusdev001@gmail.com

# Actor input Schema

## `profileUrls` (type: `array`):

Enter your linkedIn profile urls

## Actor input object example

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/sining-zhong-013712119",
    "https://www.linkedin.com/in/williamhgates"
  ]
}
```

# Actor output Schema

## `leads` (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 = {
    "profileUrls": [
        "https://www.linkedin.com/in/sining-zhong-013712119",
        "https://www.linkedin.com/in/williamhgates"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("olympus/linkedin-profile-enricher").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 = { "profileUrls": [
        "https://www.linkedin.com/in/sining-zhong-013712119",
        "https://www.linkedin.com/in/williamhgates",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("olympus/linkedin-profile-enricher").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 '{
  "profileUrls": [
    "https://www.linkedin.com/in/sining-zhong-013712119",
    "https://www.linkedin.com/in/williamhgates"
  ]
}' |
apify call olympus/linkedin-profile-enricher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,olympus/linkedin-profile-enricher"
        }
    }
}

```

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/ehJOmuD1IM3KHIVqO/builds/ZjLax0vkdtaCO7LYd/openapi.json