# LinkedIn profile AI scraper (`interfaze/apify-actors-1`) Actor

AI-powered LinkedIn scraper using interfaze.ai model to bypass bots and any new security blocks to extract the full profile of any linkedin user

- **URL**: https://apify.com/interfaze/apify-actors-1.md
- **Developed by:** [Interfaze.ai](https://apify.com/interfaze) (community)
- **Categories:** AI, Lead generation, Open source
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $170.00 / 1,000 profile details

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Scraper

AI-powered LinkedIn profile scraper using [Interfaze](https://interfaze.ai). Extract structured data from public LinkedIn profiles with built-in residential proxies and human behavior simulation.

### What it does

This actor takes one or more LinkedIn profile URLs and returns the full scraped content of each profile. It uses Interfaze's self-healing `scraper` run task which handles bot detection, CAPTCHAs, and dynamic page rendering automatically.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `profileUrls` | string\[] | Yes | One or more LinkedIn profile URLs to scrape |
| `interfazeApiKey` | string | No | Your own Interfaze API key. If not provided, the actor uses its built-in key |

### Example input

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

### Output

The actor returns the raw scraped content from each profile including structured fields and HTML elements:

```json
{
    "name": "ai_scraper",
    "result": {
        "scraped_content": {
            "name": ["Patrick Collison"],
            "bio": ["Stripe CEO"],
            "about": ["..."],
            "experience": ["Stripe", "Massachusetts Institute of Technology"]
        },
        "scraped_elements": [
            {
                "selector": "h1.top-card-layout__title",
                "results": [{ "text": "Patrick Collison" }],
                "key": "name"
            }
        ]
    }
}
```

### Use cases

- Recruiting and talent sourcing
- Sales prospecting and lead enrichment
- Competitive intelligence
- Market research on industry professionals
- Building contact databases

### API key

You can optionally provide your own Interfaze API key in the input. Get one at [interfaze.ai/dashboard](https://interfaze.ai/dashboard).

# Actor input Schema

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

One or more LinkedIn profile URLs to scrape.

## `interfazeApiKey` (type: `string`):

Optional. Your own Interfaze API key. If not provided, the actor uses its built-in key. Get your own at https://interfaze.ai/dashboard

## Actor input object example

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

# 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/patrickcollison/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("interfaze/apify-actors-1").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/patrickcollison/"] }

# Run the Actor and wait for it to finish
run = client.actor("interfaze/apify-actors-1").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/patrickcollison/"
  ]
}' |
apify call interfaze/apify-actors-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,interfaze/apify-actors-1"
        }
    }
}

```

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/Lzol1YNyIGKitplhj/builds/HwamDV7aCjo3kZoNv/openapi.json