> ## 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 LaCentrale search URLs to scrape vehicle listings using the lobstr.io API

Add LaCentrale search or listing URLs as tasks to your squid. The scraper will extract all vehicle listings matching your search criteria from the French automotive marketplace.

## 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 Format

Use LaCentrale listing URLs with your desired search filters:

`https://www.lacentrale.fr/listing?yearMin=2025`

`https://www.lacentrale.fr/listing?makesModelsCommercialNames=PEUGEOT`

Build your search on lacentrale.fr with filters (make, model, year, price, etc.) and copy the URL.

## Request Body

| Field   | Type   | Required | Description                       |
| ------- | ------ | -------- | --------------------------------- |
| **url** | string | Yes      | LaCentrale search or category URL |

<Tip>
  Apply filters on lacentrale.fr (make, model, year, price range, location) to target specific vehicle segments.
</Tip>

<Note>
  LaCentrale limits search results to 347 pages maximum per URL. Use multiple filtered searches for comprehensive coverage.
</Note>

<Tip>
  Use the `fetch_since` setting to only scrape recently added listings for monitoring new inventory.
</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.lacentrale.fr/listing?yearMin=2024&makesModelsCommercialNames=PEUGEOT"
    }'
  ```

  ```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.lacentrale.fr/listing?yearMin=2024&makesModelsCommercialNames=PEUGEOT"
  }

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

## Response

```json 200 theme={null}
{
  "id": "task_abc123def456",
  "status": "pending",
  "created_at": "2025-01-15T10:30:00Z",
  "url": "https://www.lacentrale.fr/listing?yearMin=2024&makesModelsCommercialNames=PEUGEOT"
}
```