# Linkedin Profile Scraper (`lisenser/linkedin-profile-scraper`) Actor

Scrapes full LinkedIn profile data by URL. Supply one or more profile URLs and extract name, headline, summary, industry, location, and raw profile data

- **URL**: https://apify.com/lisenser/linkedin-profile-scraper.md
- **Developed by:** [Lisenser](https://apify.com/lisenser) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$16.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## 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

Scrapes full LinkedIn profile data for one or more profile URLs. You get structured fields (name, headline, connection degree, companies, education, positions, follower count, etc.) plus the raw API response for each profile.

### What you need

1. **LinkedIn profile URLs**
   Paste one or more profile URLs, e.g. `https://www.linkedin.com/in/username`.

2. **Your LinkedIn cookies**
   The actor uses your session to load profiles. Export cookies from a browser where you're logged in to LinkedIn (see below).

3. **User-Agent**
   Must match the browser where you exported your cookies. Get it from https://whatmyuseragent.com and paste into the input.

4. **Proxy (recommended)**
   Use a residential proxy and set the proxy country to match your LinkedIn account's location.

### How to get your cookies

1. Log in to [LinkedIn](https://www.linkedin.com) in your browser.
2. Install a cookie export extension, e.g. **Cookie-Editor** ([Chrome](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) / [Firefox](https://addons.mozilla.org/en-US/firefox/addon/cookie-editor/)).
3. With LinkedIn open, click the Cookie-Editor icon.
4. Click **Export** and copy the exported text.
5. Paste that into the **Cookies** field in the actor input.

Treat your cookies as sensitive and do not share them.

### Inputs

| Input | Required | Description |
|-------|----------|-------------|
| **Profile URLs** | Yes | One or more LinkedIn profile URLs (e.g. linkedin.com/in/username). |
| **Cookies** | Yes | Exported cookies from a logged-in LinkedIn session (see above). |
| **User-Agent** | Yes | Browser User-Agent string from the same browser where you exported cookies (e.g. from https://whatmyuseragent.com). |
| **Proxy configuration** | No | Optional. Use a residential proxy and match the country to your LinkedIn account. |

### Output

The actor writes one dataset item per profile. Each item includes:

- **entityUrn** – LinkedIn internal profile URN.
- **firstName**, **lastName**, **fullName** – Name.
- **headline** – Title/headline.
- **publicIdentifier** – Vanity URL slug (e.g. `username` from linkedin.com/in/username).
- **degree** – Connection degree: 1 (connected), 2 (2nd degree), or 3 (3rd degree).
- **pendingInvitation** – Whether a connection request has been sent and is pending.
- **memberDistance** – Raw distance string when not connected (e.g. `DISTANCE_2`, `DISTANCE_3`).
- **geoRegion** – Location string (when available from Geo object).
- **countryCode** – Profile location country code (e.g. `gb`).
- **imageUrl** – Profile picture URL (when available).
- **companies** – List of companies (name, URN, and optional company URL).
- **positions** – Work experience entries (company name, URN, start/end year and month).
- **education** – Education entries (school name, optional school/company URNs).
- **connectionCount** – Number of 1st-degree connections (when visible).
- **followerCount** – Follower count (when available).
- **following** – Whether the viewer is following this profile.
- **memorialized** – Whether the profile is memorialized.
- **profileUrl** – Normalized profile URL.
- **raw** – Full LinkedIn API response (data + included) for advanced use.

You can download the dataset as JSON, CSV, or Excel from the run’s **Storage** tab.

### Tips

- Use a **residential proxy** and a **proxy location that matches your LinkedIn account’s country** to reduce blocks.
- Set **User-Agent** to match the browser (and ideally the same machine) where you exported your cookies.
- Export cookies from a **fresh login** if the actor starts failing; cookies expire.
- Add a small number of profile URLs first to test, then scale up.

# Actor input Schema

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

LinkedIn profile URLs to scrape (e.g. https://www.linkedin.com/in/satyanadella/). Add one or more URLs.

## `cookies` (type: `string`):

Cookies from your LinkedIn session. Log in to LinkedIn in your browser, then use an extension like **Cookie-Editor** ([Chrome](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) / [Firefox](https://addons.mozilla.org/en-US/firefox/addon/cookie-editor/)). Open LinkedIn, click the extension, choose "Export" and paste the result here.

## `userAgent` (type: `string`):

User-Agent of the browser where you exported your cookies. Get it from https://whatmyuseragent.com and paste here.

## `proxyConfiguration` (type: `object`):

Proxy settings. Use a residential proxy and set the country to match your LinkedIn account's location for best results.

## Actor input object example

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/"
  ],
  "cookies": "[...]",
  "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 PHLDR",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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/satyanadella/"
    ],
    "cookies": "[...]",
    "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 PHLDR",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lisenser/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 = {
    "profileUrls": ["https://www.linkedin.com/in/satyanadella/"],
    "cookies": "[...]",
    "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 PHLDR",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("lisenser/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 '{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/"
  ],
  "cookies": "[...]",
  "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 PHLDR",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call lisenser/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lisenser/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/LskCNnl3VIUvgaIOP/builds/TVNfFGm76zzlzZKuj/openapi.json