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

# Exporting data

> Export your extracted and enhanced data in multiple formats.

Once your table is complete, you can export the data in several formats.

## Available formats

| Format     | Description               | Use case                                  |
| ---------- | ------------------------- | ----------------------------------------- |
| **JSON**   | Array of row objects      | Programmatic processing, API integrations |
| **CSV**    | Semicolon-delimited file  | Spreadsheet import, data analysis         |
| **XLSX**   | Excel spreadsheet         | Business users, reporting                 |
| **Images** | ZIP archive of all images | Asset management, media libraries         |

## Exporting via SDK

<CodeGroup>
  ```typescript TypeScript theme={null}
  // JSON -- returns data directly
  const data = await client.export.json("tbl_abc123");

  // CSV -- returns raw CSV string
  const csv = await client.export.csv("tbl_abc123");

  // XLSX -- returns binary buffer
  const xlsx = await client.export.xlsx("tbl_abc123");

  // Images -- returns ZIP buffer
  const images = await client.export.images("tbl_abc123");
  ```

  ```python Python theme={null}
  # JSON -- returns list of dicts
  data = client.export.json("tbl_abc123")

  # CSV -- returns raw CSV string
  csv = client.export.csv("tbl_abc123")

  # XLSX -- save directly to file
  client.export.xlsx("tbl_abc123", path="export.xlsx")

  # Images -- save ZIP to file
  client.export.images("tbl_abc123", path="images.zip")
  ```
</CodeGroup>

## Selecting columns

By default, all columns are exported. To export only specific columns, pass a comma-separated list of column keys:

<CodeGroup>
  ```typescript TypeScript theme={null}
  const data = await client.export.json("tbl_abc123", {
    columns: "product_name,price,image_url",
  });
  ```

  ```python Python theme={null}
  data = client.export.json("tbl_abc123", columns="product_name,price,image_url")
  ```
</CodeGroup>

## Pandas integration (Python)

The Python SDK includes a helper to load all rows as a pandas DataFrame:

```python theme={null}
df = client.tables.results_as_dataframe("tbl_abc123")

# Filter, analyze, or export further
expensive = df[df["price"] > 100]
df.to_csv("products.csv", index=False)
```

This fetches all pages automatically and returns a ready-to-use DataFrame.