# LinkedIn Professional Profile (`schesds/linkedin-professional-profile`) Actor

Extract structured LinkedIn professional profile data including headline, location, current company, experience, education, skills, and follower metrics.

- **URL**: https://apify.com/schesds/linkedin-professional-profile.md
- **Developed by:** [Tedd Shesden](https://apify.com/schesds) (community)
- **Categories:** Social media
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$7.00 / 1,000 linkedin professional 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/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 Professional Profile Scraper

Extract structured public LinkedIn professional profile data from profile URLs, including name, headline, location, current company, experience, education, skills, and follower metrics.

### What You Can Use It For

- Enrich lists of known LinkedIn professional profile URLs.
- Build people datasets for recruiting, market mapping, sales research, and expert discovery.
- Analyze career paths, current companies, education, skills, and profile metadata.
- Export structured results as JSON, CSV, Excel, XML, or through the Apify API.

### Input

Paste one public LinkedIn professional profile URL per line:

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates/",
    "https://www.linkedin.com/in/satyanadella/"
  ]
}
```

This Actor expects profile URLs in the `/in/` format. Company pages, jobs, and post URLs should be handled by separate Actors.

### Output

The Actor emits one `professional_profile` row per extracted profile. If an input cannot be extracted, it emits a `scrape_error` row with `failureStage` and `errorMessage` so the reason is visible in the dataset.

The main table shows diagnostic fields first, followed by fields useful for people enrichment:

- `recordType`
- `inputUrl`
- `linkedinProfileUrl`
- `profileQuality`
- `failureStage`
- `errorMessage`
- `fullName`
- `headline`
- `location`
- `city`
- `countryCode`
- `currentCompanyName`
- `followers`
- `connections`
- `avatarUrl`
- `bannerImageUrl`
- `experienceCount`
- `educationCount`
- `skillsCount`
- `missingFields`

Full exports also include arrays such as `experience`, `education`, `skills`, `certifications`, and `languages` when available. Some fields are best-effort because public LinkedIn profiles do not expose the same data for every person. Rows include `profileQuality` and `missingFields` so partial records are visible.

### Example Output

```json
{
  "recordType": "professional_profile",
  "inputUrl": "https://www.linkedin.com/in/satyanadella/",
  "linkedinProfileUrl": "https://www.linkedin.com/in/satyanadella/",
  "fullName": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Redmond, Washington, United States",
  "currentCompanyName": "Microsoft",
  "followers": 10842560,
  "connections": 500,
  "experienceCount": 5,
  "educationCount": 3,
  "skillsCount": 25,
  "profileQuality": "COMPLETE",
  "missingFields": []
}
```

### Notes

This Actor extracts publicly available LinkedIn professional profile data. It does not access private profiles, direct messages, InMail, or data behind a login wall.

# Actor input Schema

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

Add one public LinkedIn professional profile URL per line. Use Bulk edit to paste large lists.

## Actor input object example

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates/",
    "https://www.linkedin.com/in/satyanadella/"
  ]
}
```

# Actor output Schema

## `results` (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/williamhgates/",
        "https://www.linkedin.com/in/satyanadella/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("schesds/linkedin-professional-profile").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/williamhgates/",
        "https://www.linkedin.com/in/satyanadella/",
    ] }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/EaS4dHVqnSDXnwhNi/builds/YWqdAChCxIIMdoc08/openapi.json