# LinkedIn Company Employees Scraper + Verified Email Finder (`qualifyops/linkedin-company-employees-email-finder`) Actor

Turn target LinkedIn companies into employee or decision-maker prospect lists with role/location/department filters and verified business email attempts. No cookies. Bulk-ready, up to 2,000 rows.

- **URL**: https://apify.com/qualifyops/linkedin-company-employees-email-finder.md
- **Developed by:** [QualifyOps](https://apify.com/qualifyops) (community)
- **Categories:** Lead generation, Business
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Company Employees Scraper + Verified Email Finder

Turn **company targets into employee lead lists** without manually collecting profile URLs first.

**Give it:** LinkedIn company URLs or company names. Optionally filter by job title, location or keyword.\
**Get:** employee name, role, LinkedIn URL, company context and a **verified business email when one can be confirmed**.\
**Price:** **$0.01 per employee record returned.** Email discovery/verification is included in that result price; some employees will legitimately return without a verified email.

### Built for bulk lead generation

- Up to **2,000 employee records per run**
- Multiple companies in one input
- Optional job-title, location and keyword filters
- **Decision makers only** toggle: Director / VP / CXO / Owner-Partner
- One-click **department filters** for Sales, Marketing, HR, Business Development, Engineering, Operations, Finance, IT, Product and Customer Success
- Progressive email verification: likely patterns first; stop once a real mailbox is confirmed
- Catch-all / rejected mailboxes are never labelled verified
- CSV / JSON / Excel export through the Apify dataset
- API and MCP friendly

### High-value shortcut: company → decision makers → emails

Want the shortest path to a prospect list? Turn on **Decision makers only**, choose a department, and enter target companies. Example:

> Microsoft → Marketing → Director/VP/CXO → employee rows + verified business email attempts

This avoids collecting individual LinkedIn URLs first and is designed for repeat account-based prospecting runs.

### Why this exists

Most workflows make you run a company-employee scraper, export the profiles, resolve each company domain, then run a separate email finder. This Actor joins those steps into one dataset.

Typical use cases: find sales leaders at target accounts, recruiters at hiring companies, marketing decision-makers, operators by city, or employee lists for account-based prospecting.

### Input

`companies` is required. Use full LinkedIn company URLs when possible, e.g. `https://www.linkedin.com/company/microsoft`. Plain company names are also resolved. Add `jobTitles`, `locations` or `searchQuery` to narrow the list. `maxEmployees` defaults to 100 and supports up to 2,000.

### Output

Each employee row includes `full_name`, `linkedin_url`, `job_title`, `company_name`, `company_domain`, `location`, `verified_email`, `email_status`, `confidence`, and verification diagnostics.

`FOUND` means a separate deliverability check accepted the specific mailbox and it was not catch-all. `NOT_FOUND` means we did not get enough evidence to call an email verified.

### Related QualifyOps tools

Already have a list of LinkedIn profile URLs? Use **Bulk LinkedIn Email Finder — Verified Emails, No Cookies**: https://apify.com/qualifyops/linkedin-email-finder-verified

Starting from names + company domains? Use **Email Finder & Verifier API**: https://apify.com/qualifyops/email-finder-verified

# Actor input Schema

## `companies` (type: `array`):

One company per line. LinkedIn company URLs work best; plain company names are also resolved.

## `jobTitles` (type: `array`):

Only return employees matching these LinkedIn job-title filters. Leave blank for any role.

## `locations` (type: `array`):

Filter employees by LinkedIn location, e.g. United States, London, Sydney.

## `searchQuery` (type: `string`):

Fuzzy employee search such as marketing, growth, recruiter, founder or sales.

## `decisionMakersOnly` (type: `boolean`):

Only return Director, VP, CXO and Owner/Partner seniority. Ideal for account-based sales and targeted outreach.

## `department` (type: `string`):

Narrow employees to one business function. Combine with Decision makers only for e.g. marketing directors or sales VPs.

## `maxEmployees` (type: `integer`):

Maximum employee records returned in one run. Every returned employee is one billable result.

## `maxCandidatesPerEmployee` (type: `integer`):

Cost-control cap for deliverability checks. Most-likely patterns are tested first and stop after a verified winner.

## `verifierActorId` (type: `string`):

SMTP/catch-all validator used for final deliverability confirmation.

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "jobTitles": [],
  "locations": [],
  "decisionMakersOnly": false,
  "department": "any",
  "maxEmployees": 100,
  "maxCandidatesPerEmployee": 3,
  "verifierActorId": "bounceverify/bounceverify-email-verifier"
}
```

# Actor output Schema

## `employees` (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 = {
    "companies": [
        "https://www.linkedin.com/company/microsoft"
    ],
    "jobTitles": [],
    "locations": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("qualifyops/linkedin-company-employees-email-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 = {
    "companies": ["https://www.linkedin.com/company/microsoft"],
    "jobTitles": [],
    "locations": [],
}

# Run the Actor and wait for it to finish
run = client.actor("qualifyops/linkedin-company-employees-email-finder").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 '{
  "companies": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "jobTitles": [],
  "locations": []
}' |
apify call qualifyops/linkedin-company-employees-email-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,qualifyops/linkedin-company-employees-email-finder"
        }
    }
}

```

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/JS8oF06OdDEixZUWj/builds/htX0taJWs23OzsG7i/openapi.json