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

# List all recommenders

> Retrieve all Spark recommenders configured for your account.

Returns a list of recommender objects, each containing the recommender ID, associated shop and feed, training status and settings.

<Note>
  Recommender status values: `created` (just created, waiting to train), `training` (currently training on EMR), `ready` (trained and serving recommendations).
</Note>

<RequestExample>
  ```bash cURL theme={null}
  curl https://api2.ecomailapp.cz/recommenders \
    -H "key: YOUR_API_KEY" \
    -H "Content-Type: application/json"
  ```

  ```php PHP theme={null}
  $ch = curl_init();
  curl_setopt($ch, CURLOPT_URL, 'https://api2.ecomailapp.cz/recommenders');
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
      'key: YOUR_API_KEY',
      'Content-Type: application/json',
  ]);
  $response = curl_exec($ch);
  curl_close($ch);
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  [
    {
      "recommender_id": "6789abc123def",
      "feed_id": 1,
      "shop_id": "my-shop",
      "last_trained_timestamp": 1710000000,
      "status": "ready",
      "settings": {
        "filtered_products": [],
        "filtered_categories": [],
        "included_months": []
      }
    }
  ]
  ```
</ResponseExample>