ManualTrigger Automate

ManualTrigger Automate enables users to efficiently process concert data by reading a CSV file, converting it into a spreadsheet format, and inserting the information into a MySQL database, all initiated with a simple manual trigger. This streamlined workflow enhances data management and accessibility, making it easier to organize and analyze concert information.

7/8/2025
4 nodes
Simple
manualsimplereadbinaryfilespreadsheetfilemysqlfilesstoragedatabasedata
Categories:
Manual TriggeredSimple WorkflowData Processing & Analysis
Integrations:
ReadBinaryFileSpreadsheetFileMySQL

Target Audience

Target Audience


- Event Organizers: Those who manage concerts and need to efficiently process and store data from CSV files.
- Data Analysts: Individuals who analyze concert data for insights and trends.
- Developers: Tech-savvy users looking to automate data handling processes.
- Database Administrators: Professionals managing MySQL databases who need to import data from various sources.

Problem Solved

Problem Solved


This workflow addresses the challenge of manually importing concert data from a CSV file into a MySQL database. It automates the process, reducing the risk of human error and saving valuable time. By using this workflow, users can seamlessly transition from file reading to data storage, ensuring that important information is captured accurately and efficiently.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow begins when the user clicks the 'execute' button, initiating the process.
2. Read From File: The workflow reads data from a specified CSV file located at /home/node/.n8n/concerts-2023.csv. This file contains crucial details about concerts, including dates, bands, and locations.
3. Convert To Spreadsheet: The data read from the file is then converted into a spreadsheet format. This step ensures that the data is structured appropriately for the next stage.
4. Insert into MySQL: Finally, the structured data is inserted into a MySQL database table named concerts_2023_csv. The columns populated include Date, Band, ConcertName, Country, City, Location, and LocationAddress.

Customization Guide

Customization Guide


- File Path: Users can modify the filePath parameter in the Read From File node to point to a different CSV file as needed.
- Database Table Name: Change the table parameter in the Insert into MySQL node to use a different table in the MySQL database.
- Column Mapping: Update the columns parameter in the Insert into MySQL node to match the structure of the new CSV file if it differs from the original.
- Additional Processing: Users can add more nodes between the Convert To Spreadsheet and Insert into MySQL steps for additional data processing or transformation as required.