> For the complete documentation index, see [llms.txt](https://academy.any2info.com/any2info-academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.any2info.com/any2info-academy/no-code-platform/data-studio/data-hubs/toolbox/import-and-export/files/import-from-microsoft-excel.md).

# Import from Microsoft Excel

**Category:** Files

**Version:** 1.0

**Last updated:** July 7, 2026

**Author:** Any2Info

***

### Description

The **Import From Microsoft Excel** node allows you to read data from a Microsoft Excel file into your data flow.\
It supports selecting specific sheets or tables and allows you to choose which columns to include. With this node, you can import Excel data and use it as input for further processing in your flow.

Steps:

1. Select a **File source** (e.g. OneDrive or platform storage)
2. Choose the **Excel file**
3. Open **Advanced** to configure:
   * The sheet or table
   * The columns to import
   * Column names and data types
4. The node reads the selected data
5. The data is returned as a new output table

***

### Configuration Options

| Setting     | Required | Description                                                                                          |
| ----------- | -------- | ---------------------------------------------------------------------------------------------------- |
| File source | Yes      | Select the connection where the Excel file is stored (e.g. Microsoft OneDrive or Any2Info platform). |
| Excel file  | Yes      | Opens a file picker to select the Excel file to read.                                                |
| Advanced    | Yes      | Opens the configuration screen where you select sheets, tables, and columns.                         |

***

### Advanced Configuration

The **Advanced** screen allows you to define exactly which data is imported.

#### Sheet & Table Selection

* On the left side, a tree view shows:
  * Available **sheets**
  * Available **tables** within the Excel file
* Select the sheet or table you want to import

***

#### Data Preview and Column Selection

* On the right side, a preview of the data is shown
* You can inspect the data before importing
* Click on column headers to **select or deselect columns**
* Only selected columns will be included in the output

***

#### Selected Columns (Footer)

In the footer, you can manage the selected columns:

* View all selected columns
* Rename column names
* Adjust data types if needed
* Remove columns using the delete (trash) icon

***

#### First Row Has Headers

This option is available in the toolbar:

* **Enabled** → The first row contains column names
* **Disabled** → The first row is treated as data

This setting determines how column names are interpreted.

***

### Output

The node creates a new output table.

* Each selected column becomes a column in the output
* Each row in Excel becomes a row in the output
* Column names and data types follow the Advanced configuration

***

### Tips & Best Practices

* Verify column data types to avoid conversion issues
* Use **tables** in Excel for more structured data handling
* Enable **First row has headers** when working with standard Excel files

***

### Notes

* The connection must have access to the selected file
* Large Excel files may impact performance

***

### Changelog

| Version | Date         | Change                               |
| ------- | ------------ | ------------------------------------ |
| 1.0     | July 7, 2026 | Initial documentation version added. |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://academy.any2info.com/any2info-academy/no-code-platform/data-studio/data-hubs/toolbox/import-and-export/files/import-from-microsoft-excel.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
