## Download table data

`structured_sheets.tables.download(strtable_id, TableDownloadParams**kwargs)  -> BinaryResponseContent`

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

Download the table data in the specified format.

Available formats:

- `parquet`: Apache Parquet columnar format (recommended for data analysis)
- `csv`: Comma-separated values (compatible with any spreadsheet application)

### Parameters

- `structured_sheet_id: str`

  The unique identifier of the structured sheet conversion.

- `table_id: str`

  The unique identifier of the table.

- `format: Literal["parquet", "csv"]`

  The format to download the table data in.

  - `"parquet"`

  - `"csv"`

### Returns

- `BinaryResponseContent`

### 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
)
response = client.structured_sheets.tables.download(
    table_id="tbl_01kfxgjd94fn9stqm45rqr2pnz",
    structured_sheet_id="ss_01kfxgjd94fn9stqm42nejb627",
    format="parquet",
)
print(response)
content = response.read()
print(content)
```