Dynamic Data Retrieval from CSV to PostgreSQL

This n8n workflow automates the process of extracting data from a CSV file and inserting it into a PostgreSQL database. It is triggered manually to allow flexible, on-demand data updates or migrations. The workflow begins with a manual trigger, allowing the user to initiate the process when needed.

Next, a Spreadsheet File node converts the CSV data into a file format suitable for further processing, such as data analysis or transfer. The data is then passed to a Set node that defines the target database table, in this case, ‘booksRead’.

The workflow proceeds by executing a SQL query on a PostgreSQL database using the Postgres node. It dynamically references the table name set earlier, allowing for adaptable data management. The query retrieves all records from the specified table, enabling review, modification, or synchronization of data.

This workflow is especially useful in scenarios where data from CSV files needs to be frequently imported into a database, such as updating reading logs, managing book inventories, or synchronizing external data sources. The manual trigger offers control over when the data transfer occurs, ensuring accuracy and timing flexibility.