ReadBinaryFile Automate

For platform ReadBinaryFile Automate, this workflow efficiently reads data from a spreadsheet file and inserts it into a PostgreSQL database. It simplifies data management by automating the transfer of information, ensuring accuracy and saving time in data entry tasks.

7/8/2025
3 nodes
Simple
manualsimplereadbinaryfilespreadsheetfilepostgresqlfilesstoragedatabasedata
Categories:
Manual TriggeredSimple WorkflowData Processing & Analysis
Integrations:
ReadBinaryFileSpreadsheetFilePostgreSQL

Target Audience

Target Audience


- Data Analysts: Need to automate data extraction from spreadsheets to databases.
- Developers: Looking for a simple way to integrate file handling with PostgreSQL.
- Business Analysts: Want to streamline data processing and storage for reporting.
- Small Business Owners: Need an efficient method to manage product data in a database.

Problem Solved

Problem Solved


This workflow addresses the challenge of manually transferring data from a binary file (like a spreadsheet) into a PostgreSQL database. It automates the extraction and insertion process, saving time and reducing errors associated with manual data entry.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow is initiated manually, allowing users to control when the data extraction occurs.
2. Read Binary File: The workflow reads a binary file, specifically spreadsheet.xls, which contains product data.
3. Spreadsheet Processing: The data extracted from the binary file is processed to convert it into a structured format suitable for database insertion.
4. Insert Rows into PostgreSQL: The structured data is then inserted into the product table in the PostgreSQL database, specifically into the name and ean columns.

Customization Guide

Customization Guide


- File Path: Users can change the filePath parameter in the Read Binary File node to point to different binary files as needed.
- Table and Columns: Modify the table and columns parameters in the Insert Rows1 node to match the desired database schema.
- Add More Nodes: Users can expand this workflow by adding more nodes for additional processing or integration with other services.
- Error Handling: Implement error handling nodes to manage potential issues during file reading or database insertion, ensuring robust workflow execution.