# Get Connections for Linkedin (`addeus/get-connections`) Actor

Export your LinkedIn 1st-degree connections to JSON/CSV. Ideal for personal CRM, network backups, and lead management. Uses search pagination for stability and supports residential proxies. Retrieves Name, Headline, and Profile URL.

- **URL**: https://apify.com/addeus/get-connections.md
- **Developed by:** [Addeus](https://apify.com/addeus) (community)
- **Categories:** Automation, Lead generation, Other
- **Stats:** 89 total users, 5 monthly users, 50.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.01 / actor start

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/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 Get Connections Actor

This Apify actor fetches the most recent LinkedIn connections from the connections page.

### Features

- Fetches up to 30 most recent LinkedIn connections
- Extracts connection details (name, profile URL, headline, connection date)
- Automatic error handling with screenshot and HTML capture
- Uses authentication cookies for LinkedIn access

### Input

The actor accepts the following input parameters:

```json
{
    "li_at_cookie": "AQEDAT...YOUR_COOKIE_HERE",
    "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
    "maxConnections": 30
}
```

#### Parameters

- `li_at_cookie` (required): Your LinkedIn authentication cookie (`li_at`)
- `userAgent` (optional): Custom user agent string (defaults to Chrome on Windows)
- `maxConnections` (optional): Maximum number of connections to fetch (default: 30)

### Output

The actor returns an array of connection objects:

```json
{
    "connections": [
        {
            "name": "John Doe",
            "profileUrl": "https://www.linkedin.com/in/johndoe/",
            "urnProfileUrl": "https://www.linkedin.com/in/ACoAACtA1yABHmdeNELohPaBF8626F-Qg9rg11w",
            "connectionDate": "Connexion le 15 janvier 2025"
        }
    ],
    "totalFetched": 30,
    "timestamp": "2025-01-15T10:30:00.000Z"
}
```

### How to Get Your LinkedIn Cookie

1. Open LinkedIn in your browser and log in
2. Open Developer Tools (F12)
3. Go to Application/Storage > Cookies > https://www.linkedin.com
4. Find the cookie named `li_at` and copy its value

### Error Handling

When an error occurs, the actor automatically:

- Captures a full-page screenshot
- Saves the complete HTML content
- Stores debug information with error details

All error artifacts are saved to the Apify Key-Value Store with timestamps.

### Notes

- LinkedIn connections are automatically sorted by most recent
- The actor navigates to: https://www.linkedin.com/mynetwork/invite-connect/connections/
- Respects LinkedIn's rate limits with appropriate delays
- Uses headless Chrome for automation

# Actor input Schema

## `liAtCookie` (type: `string`):

Your LinkedIn authentication cookie (li\_at). You can find it in your browser's cookies for linkedin.com

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

The User-Agent string to use. If not provided, a default Chrome on Windows user agent will be used.

## `maxConnections` (type: `integer`):

Maximum number of connections to fetch (default: 50). The actor will scroll and load connections until this limit is reached.

## Actor input object example

```json
{
  "liAtCookie": "AQEDATxxxxxx...",
  "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
  "maxConnections": 50
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("addeus/get-connections").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("addeus/get-connections").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 '{}' |
apify call addeus/get-connections --silent --output-dataset

```

## MCP server setup

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

```

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/iuD5YBtCnZJFEyznn/builds/8IDaNGo6YKyZFmZdi/openapi.json