> ## 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.

# Update Settings

> Configure the LinkedIn Leads Scraper settings including enrichment options

Configure your LinkedIn Leads Scraper squid settings. Control result limits and enable email enrichment or profile detail collection.

## 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>

## Scraper Parameters

Set these parameters in the `params` object:

| Parameter        | Type    | Default | Description                                 |
| ---------------- | ------- | ------- | ------------------------------------------- |
| **max\_results** | integer | 1000    | Maximum number of leads to collect per task |

## Optional Functions

Enable these in the `params.functions` object:

| Function                     | Type    | Default | Description                                                                               |
| ---------------------------- | ------- | ------- | ----------------------------------------------------------------------------------------- |
| **email\_enrichment**        | boolean | true    | Find email addresses for each profile (9 credits per profile where an email is found)     |
| **scrape\_profile\_details** | boolean | true    | Collect additional profile details from each LinkedIn profile page (1 credit per profile) |

## Squid Settings

Configure general squid settings:

| Setting                     | Type    | Description                                        |
| --------------------------- | ------- | -------------------------------------------------- |
| **name**                    | string  | Display name for your squid configuration          |
| **concurrency**             | integer | Number of parallel scraping threads (default: 1)   |
| **accounts**                | array   | Array of linked LinkedIn account hashes (required) |
| **export\_unique\_results** | boolean | Export only unique results (deduplicated)          |
| **to\_complete**            | boolean | Run until all tasks complete                       |
| **no\_line\_breaks**        | boolean | Remove line breaks from results                    |

<Warning>
  Both `email_enrichment` and `scrape_profile_details` are enabled by default. Disable them if not needed to reduce credit usage.
</Warning>

<Note>
  This scraper requires a synced LinkedIn account. Add your LinkedIn cookies in the Accounts section before running.
</Note>

## Code Examples

<CodeGroup>
  ```bash cURL theme={null}
  curl -X POST "https://api.lobstr.io/v1/squids/YOUR_SQUID_HASH" \
    -H "Authorization: Token YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "name": "LinkedIn Leads Scraper (1)",
      "concurrency": 1,
      "export_unique_results": true,
      "to_complete": false,
      "no_line_breaks": true,
      "params": {
        "max_results": 1000,
        "functions": {
          "email_enrichment": true,
          "scrape_profile_details": true
        }
      }
    }'
  ```

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

  API_KEY = "YOUR_API_KEY"
  BASE_URL = "https://api.lobstr.io/v1"
  headers = {"Authorization": f"Token {API_KEY}"}

  squid_id = "YOUR_SQUID_HASH"

  response = requests.post(f"{BASE_URL}/squids/{squid_id}",
      headers=headers,
      json={
          "name": "LinkedIn Leads Scraper (1)",
          "concurrency": 1,
          "export_unique_results": True,
          "to_complete": False,
          "no_line_breaks": True,
          "params": {
              "max_results": 1000,
              "functions": {
                  "email_enrichment": True,     # 9 credits per profile with email
                  "scrape_profile_details": True # 1 credit per profile
              }
          }
      }
  )

  data = response.json()
  print(f"Settings updated: {data['name']}")
  ```
</CodeGroup>

## Response

```json 201 theme={null}
{
  "name": "LinkedIn Leads Scraper (1)",
  "concurrency": 1,
  "export_unique_results": true,
  "to_complete": false,
  "no_line_breaks": true,
  "params": {
    "max_results": 1000,
    "functions": {
      "email_enrichment": true,
      "scrape_profile_details": true
    }
  }
}
```