> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lobstr.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Add Tasks

> Add LinkedIn profile URLs to scrape using the lobstr.io API

Add LinkedIn profile URLs as tasks to your squid. The scraper will extract comprehensive profile data from each LinkedIn profile you provide.

You can use various LinkedIn profile URL formats, including international versions.

## Headers

<ParamField header="Authorization" type="string" required>
  Your API authentication token. Value: `Token YOUR_API_KEY`
</ParamField>

<ParamField header="Content-Type" type="string" required>
  Request body format. Value: `application/json`
</ParamField>

## URL Formats

**Supported URL formats:**

`https://www.linkedin.com/in/username/`

`https://linkedin.com/in/username`

`https://fr.linkedin.com/in/username/` (international)

The URL must be a valid LinkedIn profile URL containing `/in/` followed by the user's identifier.

## Request Body

| Field   | Type   | Required | Description                    |
| ------- | ------ | -------- | ------------------------------ |
| **url** | string | Yes      | LinkedIn profile URL to scrape |

<Tip>
  You can add profiles in bulk by making multiple API requests or using the batch upload feature.
</Tip>

<Note>
  The scraper accepts both standard and international LinkedIn profile URLs (e.g., fr.linkedin.com, de.linkedin.com).
</Note>

<Tip>
  Use Sales Navigator lead export URLs or regular LinkedIn profile URLs - both work with this scraper.
</Tip>

## Code Examples

<CodeGroup>
  ```bash cURL theme={null}
  curl -X POST "https://api.lobstr.io/api/v2/squid/YOUR_SQUID_ID/task" \
    -H "Authorization: Token YOUR_API_TOKEN" \
    -H "Content-Type: application/json" \
    -d '{
      "url": "https://www.linkedin.com/in/williamhgates/"
    }'
  ```

  ```python Python theme={null}
  import requests

  API_TOKEN = "YOUR_API_TOKEN"
  SQUID_ID = "YOUR_SQUID_ID"

  url = f"https://api.lobstr.io/api/v2/squid/{SQUID_ID}/task"
  headers = {
      "Authorization": f"Token {API_TOKEN}",
      "Content-Type": "application/json"
  }
  data = {
      "url": "https://www.linkedin.com/in/williamhgates/"
  }

  response = requests.post(url, headers=headers, json=data)
  print(response.json())
  ```
</CodeGroup>

## Response

```json 200 theme={null}
{
  "id": "task_abc123def456",
  "squid_id": "YOUR_SQUID_ID",
  "url": "https://www.linkedin.com/in/williamhgates/",
  "status": "pending",
  "created_at": "2024-01-15T10:30:00Z"
}
```