# LinkedIn Profile Scraper — Public Profile Data (`hipersoft/linkedin-profile-scraper`) Actor

Scrape public LinkedIn profiles in bulk: name, headline, location, about, follower count, current companies (with start year), education, languages, awards and profile photo. Just pass profile URLs or usernames. One row per profile as JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/linkedin-profile-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.002 / profile scraped

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/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 Scraper — Public Profile Data

Extract **public LinkedIn profile data** in bulk with the **LinkedIn Profile Scraper**. Pass a list of profile URLs or usernames and export each person's **name, headline, location, about, follower count, current companies, education, languages, awards and profile photo** — one clean row per profile as **JSON, CSV or Excel**.

Built for **recruiting and talent sourcing, sales prospecting, CRM enrichment, people research and network analysis**, it turns a list of profile links into a structured dataset.

### What it does

- 👤 **Core profile fields** — name, headline, location and about summary.
- 🏢 **Experience** — current companies with their LinkedIn page and start year.
- 🎓 **Education & background** — schools and affiliations.
- 🌐 **Extras** — follower count, languages, awards and profile photo.
- 🔗 **Flexible input** — accepts usernames (`williamhgates`) or full profile URLs.
- 📤 **Export anywhere** — JSON, CSV or Excel, or straight into a CRM, sheet or dashboard.

### Example output

```json
{
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Redmond, Washington, United States",
  "followers": 12178320,
  "currentCompanies": [
    { "name": "Microsoft", "url": "https://www.linkedin.com/company/microsoft", "startYear": "2014-02" }
  ],
  "url": "https://www.linkedin.com/in/satyanadella"
}
```

### How to use it

1. Add a list of **profiles** — usernames or full LinkedIn profile URLs.
2. Set **Max profiles** if you want a cap.
3. Run, and download the results as **JSON, CSV or Excel**.

### Input fields

| Field | Description |
|-------|-------------|
| **LinkedIn profiles** | Profile usernames or URLs. |
| **Max profiles** | Maximum profiles to process (0 = no limit). |

### Output fields

`slug`, `found`, `name`, `headline`, `about`, `location`, `country`, `followers`, `jobTitles`, `currentCompanies`, `education`, `languages`, `awards`, `profileImage`, `url`.

### Popular use cases

- **Recruiting & sourcing** — enrich candidate lists with headline, company and location.
- **Sales prospecting** — qualify leads by role, company and background.
- **CRM enrichment** — fill in title, employer and location for contacts.
- **People research** — build structured profiles for a set of individuals.
- **Network analysis** — study roles, companies and reach across a list.

### FAQ

**Do I need an account or key?**
No. Add profile URLs or usernames and run — only public profile data is collected.

**What can I pass as input?**
A username (`williamhgates`) or a full profile URL — both work.

**What data is returned?**
Public profile fields: name, headline, about, location, follower count, current companies (with start year), education, languages, awards and profile photo.

**Can I export to Excel or Google Sheets?**
Yes — results download as JSON, CSV or Excel and integrate with CRMs, Sheets and dashboards.

**How many profiles can I process?**
As many as you like — the scraper processes your whole list; set Max profiles to cap it.

***

Structured **public LinkedIn profile data** — name, headline, company, education and location — clean and export-ready for recruiting, sales and research.

# Actor input Schema

## `profiles` (type: `array`):

Profile URLs or usernames — e.g. 'williamhgates' or 'https://www.linkedin.com/in/satyanadella/'. Each is looked up individually.

## `maxItems` (type: `integer`):

Maximum number of profiles to process (0 = no limit).

## Actor input object example

```json
{
  "profiles": [
    "williamhgates",
    "satyanadella"
  ],
  "maxItems": 0
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 = {
    "profiles": [
        "williamhgates",
        "satyanadella"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/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 = { "profiles": [
        "williamhgates",
        "satyanadella",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/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 '{
  "profiles": [
    "williamhgates",
    "satyanadella"
  ]
}' |
apify call hipersoft/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/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/d0BaQTPKH4qYg8sXs/builds/kN8U2bZrJs2HFjXSl/openapi.json