Automated Campaign Data Update Workflow for PostgreSQL

This workflow automates the extraction and updating of campaign data to PostgreSQL, enhancing data management efficiency.

n8n

The '0655_Code_Postgres_Update_Scheduled' workflow is designed to streamline the process of extracting campaign data from an external API and updating it in a PostgreSQL database. By automating these tasks, users can ensure that their campaign data is always up-to-date without the need for manual intervention, saving time and reducing errors.

This workflow begins with fetching all available campaigns from the Smartlead API. It leverages an HTTP request node to retrieve the necessary data using a provided API key. The data is then processed in batches, allowing for efficient handling of large datasets. This batching feature ensures that the workflow remains performant, even with extensive campaign data.

Once the campaign data is extracted, the workflow iterates over each item using a loop node. This step is crucial as it prepares the data for updating in the PostgreSQL database. Each campaign's details are mapped and formatted appropriately before being sent to the database.

The final step involves updating the PostgreSQL table with the extracted campaign data. This ensures that any changes in the campaign status or details are reflected in the database, maintaining data integrity. Overall, this automated solution is ideal for marketers and data analysts looking to optimize their workflow and maintain accurate campaign records.

$6.77
Last updated October 3, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related AI workflows

More from Jordi Faber

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.