# LinkedIn Profile Bulk Scraper+Email - No Cookies $3.5/$9 per 1k (`marketlabs/linkedin-profile-scraper`) Actor

Extract rich LinkedIn profile data—complete work history, education, skills, and more—without using cookies or a LinkedIn account. Designed for scale with high concurrency and quick turnarounds ⚡

- **URL**: https://apify.com/marketlabs/linkedin-profile-scraper.md
- **Developed by:** [Actorlab](https://apify.com/marketlabs) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 310 total users, 6 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 2.96 out of 5 stars

## Pricing

from $3.50 / 1,000 profiles

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**LinkedIn Profile Bulk Scraper + Email Finder 🚀**

**Smart. Scalable. Cookie-Free.**\
Starting at **$3.5 / $9 per 1k profiles**

**Collect LinkedIn insights at scale — no cookies, no limits**

Access rich, structured LinkedIn profile data — including employment history, education, and skills — instantly and securely.\
No cookies. No logins. Just accurate, compliant, high-volume data collection ⚡

Perfect for **lead generation**, **recruiting**, **sales prospecting**, and **market research**.

**Why professionals choose ActorLab**

✅ **No login or cookies required** — Extract profile data safely without risking bans or throttling.\
💸 **Transparent pricing** — $3.5 per 1,000 profiles, or $9 per 1,000 when including verified email search.\
⚙️ **Optimized for performance** — High concurrency and lightning-fast response times.\
🔄 **Always fresh** — Real-time scraping ensures your data is up-to-date.\
🧠 **Verified results** — Optional email finder with advanced SMTP validation.\
💰 **Fair pricing model** — You’re charged only when valid data is found.

**How it works**

Submit any of the following inputs:

- A list of **public LinkedIn identifiers** (e.g. williamhgates)
- A list of **LinkedIn profile URLs**
- A list of **profile IDs** (e.g. ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc)

To enable **email discovery**, choose *“Profile details + email search ($9 per 1k)”*.\
Our system will independently locate and validate associated emails where available — ideal for outreach, hiring, and CRM enrichment.

🔒 **Note:** LinkedIn does not expose email addresses publicly. ActorLab performs an external search using trusted data sources and verification layers.

**Data you receive**

You’ll get structured, export-ready datasets with:

- Full name, headline & summary
- Current and past job roles
- Educational background
- Location & contact data
- Skills and endorsements
- Certifications, recommendations, & projects
- Volunteering and publications

Available in **JSON**, **CSV**, **XLS**, or directly through the **ActorLab API**.

**Example output**

Every run stores your data in a dedicated dataset. Export it or connect it directly to your workflow via API.

{

"id": "ACoAACLevxsBfWQoDUYkHyCP2jzl81cDAvckQEI",

"linkedinUrl": "https://www.linkedin.com/in/towhid-rahman",

"firstName": "Towhid",

"lastName": "Rahman, PharmD",

"headline": "Pharmacology | Medical Science Liaison | Project Management",

"experience": \[...],

"education": \[...],

"skills": \[...]

}

**Pricing**

- **$3.5 / 1,000 profiles** — Full professional data
- **$9 / 1,000 profiles** — Includes verified email discovery

**Pay-as-you-go model** — only pay when successful searches are completed.

**API access & integration**

All scraped data is securely stored in your **ActorLab dataset**, ready for integration with your automation workflows.

- Export results in JSON, CSV, XLS, or other formats
- Query and manage your data programmatically through API
- Schedule automatic data pulls for recurring use

**Support & community**

At ActorLab, we continuously refine our tools based on real-world feedback.\
If you have questions, ideas, or encounter a technical issue:

- Open a support request directly from your dashboard

# Actor input Schema

## `profileScraperMode` (type: `string`):

Choose the mode for scraping LinkedIn profiles. 'Profile details' scrapes detailed profile information, while 'Profile details + email search' attempts to find the email address of the profile owner.

## `queries` (type: `array`):

List of LinkedIn profile URLs or Public Identifiers (last part in the URL) to scrape.

## `urls` (type: `array`):

List of LinkedIn profile URLs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs

## `publicIdentifiers` (type: `array`):

List of LinkedIn Public Identifiers. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs

## `profileIds` (type: `array`):

List of LinkedIn profile IDs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs

## Actor input object example

```json
{
  "queries": [],
  "urls": [
    "https://www.linkedin.com/in/amedeo-sciagura-a1a4b2187"
  ]
}
```

# 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 = {
    "queries": [],
    "urls": [
        "https://www.linkedin.com/in/amedeo-sciagura-a1a4b2187"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("marketlabs/linkedin-profile-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 = {
    "queries": [],
    "urls": ["https://www.linkedin.com/in/amedeo-sciagura-a1a4b2187"],
}

# Run the Actor and wait for it to finish
run = client.actor("marketlabs/linkedin-profile-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 '{
  "queries": [],
  "urls": [
    "https://www.linkedin.com/in/amedeo-sciagura-a1a4b2187"
  ]
}' |
apify call marketlabs/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,marketlabs/linkedin-profile-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/Wnb6U8FrPQ6anw9Ao/builds/MdtBAZgPlkpTJXxUy/openapi.json