## List structured sheets

`structured_sheets.list(StructuredSheetListParams**kwargs)  -> SyncCursorIDPage[StructuredSheetResponse]`

**get** `/v1/structured-sheets`

List all structured sheets conversions for the authenticated user. Results are paginated using cursor-based pagination.

### Parameters

- `after: Optional[str]`

  A cursor for pagination. Use the `last_id` from a previous response to fetch the next page of results.

- `limit: Optional[int]`

  Maximum number of results to return per page.

### Returns

- `class StructuredSheetResponse: …`

  Response representing a structured sheet conversion job.

  This is returned from POST (create), GET (retrieve), and list endpoints.

  - `id: str`

    The unique identifier for this structured sheet conversion.

  - `created_at: datetime`

    The timestamp when the conversion was started.

  - `file_id: str`

    The unique identifier for the source file.

  - `object: Literal["structured_sheet"]`

    The object type, which is always 'structured_sheet'.

    - `"structured_sheet"`

  - `status: Literal["queued", "in_progress", "completed", 2 more]`

    The current processing status.

    - `"queued"`

    - `"in_progress"`

    - `"completed"`

    - `"failed"`

    - `"cancelled"`

  - `updated_at: datetime`

    The timestamp when the conversion was last updated.

  - `last_error: Optional[LastError]`

    Error information when processing fails.

    - `code: str`

      A machine-readable error code.

    - `message: str`

      A human-readable description of the error.

  - `sheet_names: Optional[List[str]]`

    List of sheet names included in this conversion.

  - `table_count: Optional[int]`

    Number of tables extracted from the workbook. Only present when status is 'completed'.

### Example

```python
import os
from deeptable import DeepTable

client = DeepTable(
    api_key=os.environ.get("DEEPTABLE_API_KEY"),  # This is the default and can be omitted
)
page = client.structured_sheets.list()
page = page.data[0]
print(page.id)
```

#### Response

```json
{
  "data": [
    {
      "id": "ss_01kfxgjd94fn9stqm42nejb627",
      "created_at": "2024-01-15T10:30:00Z",
      "file_id": "file_01kfxgjd94fn9stqm414vjb0s8",
      "object": "structured_sheet",
      "status": "completed",
      "updated_at": "2024-01-15T10:35:00Z",
      "last_error": {
        "code": "invalid_file_format",
        "message": "The uploaded file is not a valid Excel spreadsheet."
      },
      "sheet_names": [
        "Sheet1",
        "Financials"
      ],
      "table_count": 6
    }
  ],
  "has_more": false,
  "object": "list",
  "first_id": "ss_01kfxgjd94fn9stqm42nejb627",
  "last_id": "ss_01kfxgjd94fn9stqm42nejb627"
}
```