Latenode
MySQL
Microsoft Excel

Automatically convert SQL data into structured Excel spreadsheets

This automation template allows users to seamlessly extract data from a SQL database table and automatically export it into a structured Excel spreadsheet.

By connecting to a remote SQL server, users can specify the target table, and the workflow will handle the data extraction, formatting, and saving the results as an XLSX file. This streamlined process eliminates the need for manual data export, enabling users to quickly visualize and share their SQL data in a familiar spreadsheet format. The template supports a range of SQL database types, making it a versatile solution for various data management workflows.

Updated Apr 2, 2026Est. run: 7sEst. cost: $0.0004
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Data, spreadsheets & databases

Workflow preview

What this template does

  • Connects to a remote SQL database and extracts data from a specified table
  • Formats the extracted data into a structured Excel spreadsheet file
  • Supports a range of SQL database types for versatile data management
  • Eliminates manual data export, enabling quick data visualization and sharing
  • Generates an XLSX file containing the extracted SQL data

How it works

1
Trigger

Connect to SQL Database

The workflow begins by connecting to the specified SQL database and table. Users can configure the connection details, including the database type, server address, credentials, and the target table to extract data from.

2
Logic

Transform SQL Data

The extracted data from the SQL table is then processed and transformed as needed. This step may involve data formatting, filtering, or any other necessary modifications to prepare the data for the Excel export.

3
Action

Export to Excel

The transformed data is finally exported to a structured Excel spreadsheet file. Users can configure the output file name, location, and other settings to ensure the data is saved in a format that is easy to visualize and share.

Setup guide

1

Add MySQL credential

Add your MySQL database connection details in the Latenode Credentials panel. This includes the host, port, username, password, and database name.

2

Configure SQL table in node settings

In the Latenode visual builder, add a SQL node and configure it to connect to the MySQL database using the credential you added. Then, specify the name of the SQL table you want to export to Excel.

3

Set up Excel spreadsheet export

Add an Excel node to the workflow and configure it to export the data from the SQL node. You can set the file name, sheet name, and whether to include a header row.

4

Map data fields

In the Excel node settings, map the fields from the SQL query output to the desired columns in the Excel spreadsheet.

5

Save the workflow

After configuring the nodes, save the Latenode workflow to be able to run it and export your SQL data to an Excel file.

Requirements

Connect to a SQL database server using the MySQL integration
Specify the target SQL database table to extract data from
Configure the Excel integration to automatically export the extracted data into a structured XLSX spreadsheet file
Set up authentication and permissions to access the SQL database and write to the Excel file within the Latenode workspace

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
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