# LinkedIn Profile Scraper (`thenetaji/linkedin-profile-scraper`) Actor

Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.

- **URL**: https://apify.com/thenetaji/linkedin-profile-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

**Turn a list of LinkedIn usernames or profile URLs into complete, structured public-profile records.**

I built LinkedIn Profile Scraper for the point where opening profiles one by one stops being research and starts being repetitive work. Give it the people you already know you need; it returns consistent records that are easier to compare, filter, and pass into the next step of a recruiting, sales, or research workflow.

### A profile reader for known people, not a search engine

This Actor starts from usernames or `/in/` URLs. It is the right fit when discovery has already happened and the job is to collect the public context around each person: headline, location, about text, audience counts, work and education history, articles, activity, and related profiles when LinkedIn exposes them.

That boundary is deliberate. I would use the LinkedIn Jobs Scraper or Related User Scraper to discover candidates, then use this Actor to build the deeper profile dataset.

### Give the run a clean list

Paste bare usernames or full public profile URLs into the same `username` field. Duplicates and URL formatting are normalized before profiles are processed, while `maxItems` gives you a simple brake for test runs.

#### Batch profile lookup

Enter one or more LinkedIn usernames or /in/ profile URLs and fetch the full public profile for each.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `username` | array<string> | Yes | LinkedIn usernames or /in/ profile URLs to fetch full profile details for. |
| `maxItems` | integer | No | Maximum number of profiles to fetch. Set to 0 for no item limit. |

#### A small input worth copying

```json
{
  "username": [
    "williamhgates"
  ],
  "maxItems": 20
}
````

### Read the result like a research record

The output is intentionally wider than a contact card. Identity and network fields help with sorting; history fields explain a person's background; content fields preserve the public material that can add context to an analysis.

#### Identity

| Field | Type | Description |
| --- | --- | --- |
| `username` | string | Username used to fetch this profile. |
| `name` | string | Name shown on the profile. |
| `headline` | string | Current headline or organization text shown on the profile. |
| `location` | string | Location shown on the profile. |
| `country` | string | Country code shown on the profile. |
| `about` | string | About/summary text shown on the profile. |
| `url` | string | LinkedIn profile URL. |
| `image` | string | Profile photo or company logo URL. |

#### Network

| Field | Type | Description |
| --- | --- | --- |
| `followers` | number | Follower count. |
| `connections` | mixed | Connection count, when public. |

#### History

| Field | Type | Description |
| --- | --- | --- |
| `works_for` | array | Current and past organizations, with start/end years. |
| `experience` | array | Work experience entries with title, company, and date range. |
| `education` | array | Education entries with school and date range. |
| `education_jsonld` | array | Structured education history (schema.org shape). |
| `awards` | array | Awards listed on the profile. |
| `languages` | array | Languages listed on the profile. |

#### Content

| Field | Type | Description |
| --- | --- | --- |
| `articles` | array | LinkedIn Pulse articles published by the profile. |
| `related_profiles` | array | Related profile suggestions shown on the profile. |
| `activity` | array | Recent posts and articles shown on the profile or company page. |
| `job_titles` | array | Job titles shown across the profile's current positions. |
| `badges` | string | Creator or Top Voice badges shown on the profile. |
| `jsonld` | object | Structured schema.org data embedded in the page. |

#### One shortened profile record

```json
{
  "username": "williamhgates",
  "name": "Bill Gates",
  "headline": "Co-chair, Founder, Co-founder",
  "location": "Seattle, Washington, United States",
  "followers": 40509534,
  "url": "https://www.linkedin.com/in/williamhgates"
}
```

Public LinkedIn pages vary. A missing field normally means it was not visible on that profile at collection time, so downstream workflows should treat optional values as optional rather than inventing replacements.

### Cost control without guesswork

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Start with a low maxItems value before enabling enrichment for large runs.

My practical recommendation is to test a handful of usernames first, inspect the dataset columns you care about, and only then increase `maxItems` for the larger batch.

### Run the same profile job from code

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("thenetaji/linkedin-profile-scraper").call(run_input={
    "username": [
        "williamhgates"
    ],
    "maxItems": 20
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("thenetaji/linkedin-profile-scraper").call({
  "username": [
    "williamhgates"
  ],
  "maxItems": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Responsible use

This Actor extracts publicly available LinkedIn profile information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, LinkedIn terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer.

### Continue the LinkedIn workflow

- [LinkedIn Company Scraper](https://apify.com/thenetaji/linkedin-company-scraper) — Fetch full public LinkedIn company page details — industry, size, headquarters, specialties, similar and affiliated pages, and recent updates — for one or more company handles or URLs.
- [LinkedIn Jobs Scraper](https://apify.com/thenetaji/linkedin-jobs-scraper) — Search LinkedIn jobs by keyword and location with date, experience, job-type, and workplace filters, paginate through results, and optionally enrich each job with the full posting.
- [LinkedIn Related User Scraper](https://apify.com/thenetaji/linkedin-related-user-scraper) — Extract related LinkedIn profile suggestions from one or more seed profiles, with optional full profile enrichment for each related user.

### Talk to the maintainer

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

# Actor input Schema

## `username` (type: `array`):

LinkedIn usernames or /in/ profile URLs to fetch full profile details for.

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

Maximum number of profiles to fetch. Set to 0 for no item limit.

## Actor input object example

```json
{
  "username": [
    "satyanadella"
  ],
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped data

# 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 = {
    "username": [
        "satyanadella"
    ],
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/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 = {
    "username": ["satyanadella"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/linkedin-profile-scraper").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 '{
  "username": [
    "satyanadella"
  ],
  "maxItems": 20
}' |
apify call thenetaji/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Profile Scraper",
        "description": "Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.",
        "version": "0.1",
        "x-build-id": "8NxCUmkbj7fTGpGfM"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/thenetaji~linkedin-profile-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-thenetaji-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-profile-scraper/runs": {
            "post": {
                "operationId": "runs-sync-thenetaji-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-profile-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-thenetaji-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "username"
                ],
                "properties": {
                    "username": {
                        "title": "LinkedIn profiles",
                        "type": "array",
                        "description": "LinkedIn usernames or /in/ profile URLs to fetch full profile details for.",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "williamhgates"
                        ]
                    },
                    "maxItems": {
                        "title": "Max results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of profiles to fetch. Set to 0 for no item limit.",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```