Latenode
Microsoft SQL Server
JavaScript

Automate SQL data extraction to structured CSV files

This automation template helps users streamline the process of exporting data from a SQL database table into a structured CSV file. It allows users to specify the SQL table name, and the workflow will automatically retrieve the data, convert it to CSV format, and save the file for further use or distribution.

The template utilizes the Microsoft SQL Server integration to connect to the database, making it a suitable solution for organizations that rely on MSSQL for their data storage. This automation simplifies the task of regularly extracting data from a database and making it available in a standardized format, benefiting users who need to share or process the data externally.

Updated May 8, 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

  • Extracts data from a specified SQL database table
  • Converts the data into a structured CSV file
  • Stores the CSV file for further use or distribution
  • Leverages Microsoft SQL Server integration for database connectivity
  • Simplifies the process of regularly exporting data from a database

How it works

1
Trigger

Connect to SQL Database

Specify the SQL table name to extract data from.

2
Action

Retrieve data from the SQL table

Load the data from the specified SQL table into the workflow.

3
Logic

Convert SQL query results into a CSV file

Transform the retrieved data into a structured CSV format for further use or distribution.

4
Action

Extract Data to CSV

Save the generated CSV file for storage or external processing.

Setup guide

1

Add Microsoft SQL Server Credential

1. In the Latenode Credentials panel, add a new credential for Microsoft SQL Server. 2. Enter the connection details for your SQL server, including the server address, database name, and your login credentials (username and password). 3. Save the credential in Latenode to use it in the workflow.

2

Configure SQL Table

1. Add a Microsoft SQL Server node to the workflow. 2. In the node settings, select the SQL Server credential you created earlier. 3. Specify the name of the SQL table you want to export data from.

3

Map SQL Columns to CSV Headers

1. Add a JavaScript node after the SQL Server node. 2. In the JavaScript node settings, select the 'Convert to CSV' operation. 3. Map the SQL column names to the corresponding CSV header names.

4

Save CSV File

1. Add a File node after the JavaScript node. 2. In the File node settings, configure the output file name and location where you want to save the CSV file. 3. Optionally, you can add additional nodes to the workflow to send the CSV file via email or upload it to a file storage service.

5

Test the Workflow

1. In the Latenode builder, click the 'Execute' button to run the workflow. 2. Verify that the CSV file is successfully generated and saved in the specified location.

Requirements

A Microsoft SQL Server database connection with read access to the target table
Permissions to create and write files to a storage location (e.g., local file system, cloud storage)
Latenode workspace with Microsoft SQL Server and Code nodes configured
Ability to define the SQL table name as a variable 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.
Contact support →

More templates

You might also like

Browse all templates →
Data, spreadsheets & databases

Automatically sync Notion items to new Google Docs documents

This automation allows users to automatically create a new Google Docs document whenever a new item is added to a Notion database. It streamlines the process of transferring data from Notion to Google Docs, making it easier for teams to collaborate on documents and reports. The automation triggers when a new item is added to the specified Notion database, and it then creates a corresponding Google Docs document with the relevant information. This integration between Notion and Google Docs helps users to centralize their data and workflows, improving productivity and efficiency.

5s$0.0003
Data, spreadsheets & databases

Automatically generate customized Google Docs from new form data

This automation allows users to create a new Google Doc based on a predefined template, using data from a new submission in a linked Google Form. Whenever a new row is added to the associated Google Sheets spreadsheet, the automation will trigger and generate a personalized document using the form data. This streamlines the process of creating documents from structured data, making it more efficient for individuals or teams working with Google's productivity suite. The primary systems involved are Google Forms, Google Sheets, and Google Docs.

12s$0.0007
Data, spreadsheets & databases

Automatically sync new Kartra calendar leads to Google Sheets

This Latenode automation helps businesses and individuals who use Kartra for their online calendars and Google Sheets for data management. The automation automatically captures new lead registrations from Kartra calendars and adds their details as new rows in a designated Google Sheets spreadsheet. This streamlines the process of managing lead information, reducing manual data entry and ensuring all new leads are properly logged in the central spreadsheet for further analysis and follow-up.

10s$0.0006