## List tables in structured sheet

`structured_sheets.tables.list(strstructured_sheet_id, TableListParams**kwargs)  -> SyncCursorIDPage[TableResponse]`

**get** `/v1/structured-sheets/{structured_sheet_id}/tables`

List all tables extracted from the structured sheet. Only available when conversion status is 'completed'.

### Parameters

- `structured_sheet_id: str`

  The unique identifier of the structured sheet conversion.

- `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 tables to return per page.

### Returns

- `class TableResponse: …`

  Response representing a table extracted from a structured sheet.

  This is returned from GET (retrieve) and list table endpoints.
  Table names use a composite format: {normalized_sheet_name}__{table_name}.

  - `id: str`

    The unique identifier for this table.

  - `created_at: datetime`

    The timestamp when this table was created.

  - `name: str`

    Composite table name: {normalized_sheet_name}__{table_name}. Uses lowercase snake_case. Aggregation tables end with '__aggregations'. Two special metadata tables exist per structured sheet: '__deeptable_workbook_metadata' (workbook provenance info) and '__deeptable_table_overview' (summary of all tables). Example: 'staffing__head_count' or 'staffing__head_count__aggregations'.

  - `object: Literal["table"]`

    The object type, which is always 'table'.

    - `"table"`

  - `sheet_name: str`

    The original Excel sheet name this table came from.

  - `structured_sheet_id: str`

    The ID of the structured sheet this table belongs to.

  - `type: Literal["relational", "aggregation", "tableless", "metadata"]`

    The type of table (relational, aggregation, tableless, or metadata).

    - `"relational"`

    - `"aggregation"`

    - `"tableless"`

    - `"metadata"`

### 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.tables.list(
    structured_sheet_id="ss_01kfxgjd94fn9stqm42nejb627",
)
page = page.data[0]
print(page.id)
```

#### Response

```json
{
  "data": [
    {
      "id": "tbl_01kfxgjd94fn9stqm45rqr2pnz",
      "created_at": "2026-01-15T10:35:00Z",
      "name": "staffing__head_count",
      "object": "table",
      "sheet_name": "Staffing",
      "structured_sheet_id": "ss_01kfxgjd94fn9stqm42nejb627",
      "type": "relational"
    },
    {
      "id": "tbl_02abc2def3ghjkmnpqrs4uvwxz",
      "created_at": "2026-01-15T10:35:00Z",
      "name": "staffing__head_count__aggregations",
      "object": "table",
      "sheet_name": "Staffing",
      "structured_sheet_id": "ss_01kfxgjd94fn9stqm42nejb627",
      "type": "aggregation"
    }
  ],
  "has_more": false,
  "object": "list",
  "first_id": "tbl_01kfxgjd94fn9stqm45rqr2pnz",
  "last_id": "tbl_02abc2def3ghjkmnpqrs4uvwxz"
}
```