Runwork
Neon Postgres

Import CSV files from filesystem into Postgres

Streamline your data pipeline by automatically transforming local CSV files into structured PostgreSQL table entries. Ideal for self-hosted setups, this workflow removes the manual burden of database uploads by directly reading and importing server-side files. Enhance your backend efficiency with a seamless bridge between your filesystem and your database.

Start Building

What This Recipe Does

Manually importing CSV data into a database is a repetitive task that often leads to formatting errors and data inconsistencies. This automation streamlines the entire process by instantly converting raw CSV files into structured data within your PostgreSQL database. Instead of writing custom scripts or manually mapping columns every time you have a new dataset, this workflow handles the extraction, parsing, and insertion automatically. This ensures that your production database remains the single source of truth with up-to-the-minute information. By automating the ingestion of spreadsheet data, businesses can significantly reduce the time spent on data entry and focus on analyzing information rather than moving it. Whether you are performing weekly inventory updates, migrating legacy customer records, or syncing offline sales reports, this solution provides a reliable bridge between flat files and your relational database, maintaining data integrity throughout the transfer process.

What You'll Get

Complete App

Forms, dashboards, and UI components ready to use

Automated Workflows

Background automations that run on your schedule

API Endpoints

REST APIs for external integrations

Connected Integrations

Neon Postgres configured and ready

How It Works

  1. 1

    Click "Start Building" and connect your accounts

    Runwork will guide you through connecting Neon Postgres

  2. 2

    Describe any customizations you need

    The AI will adapt the recipe to your specific requirements

  3. 3

    Preview, test, and deploy

    Your app is ready to use in minutes, not weeks

Who Uses This

Frequently Asked Questions

Do I need to write SQL queries to use this automation?

No, the automation handles the data mapping and insertion process, though you will need to specify the destination table name in your PostgreSQL database.

Can I process large CSV files with thousands of rows?

Yes, the workflow is designed to parse large spreadsheet files and batch the data into your database efficiently.

Does the CSV column structure need to match the database exactly?

The automation works best when columns align, but you can easily adjust the mapping within the workflow to ensure data lands in the correct database fields.

What happens if my CSV has different delimiters like semicolons?

The spreadsheet file node is flexible and can be configured to recognize various delimiters and encoding formats common in different regions.

Importing from n8n?

This recipe uses nodes like ManualTrigger, ReadBinaryFile, SpreadsheetFile, Postgres. With Runwork, you don't need to learn n8n's workflow syntax. Just describe what you want in plain English.

ManualTrigger ReadBinaryFile SpreadsheetFile Postgres

Based on n8n community workflow. View original

Related Recipes

Neon Postgres

Import CSV files from filesystem into Postgres

Manually entering data from spreadsheets into a database is a slow, error-prone process that drains team productivity. This automation simplifies the entire data ingestion pipeline by allowing you to import CSV files directly into your PostgreSQL database with a single action. By removing the need for custom scripts or complex database management tools, your team can focus on analyzing data rather than moving it. This workflow ensures that your central database remains the single source of truth, updated instantly with the latest information from sales reports, inventory lists, or customer records. Whether you are migrating legacy data or performing weekly updates, this solution provides a scalable way to handle large datasets without technical overhead. By converting this workflow into a Runwork application, you provide your team with a clean, user-friendly interface to manage database updates securely. This automation bridges the gap between static spreadsheets and dynamic database systems, empowering your business to make faster, data-driven decisions while maintaining high standards of data accuracy and operational efficiency.

Build this

Ready to build this?

Start with this recipe and customize it to your needs.

Start Building Now