Delighted and PostgreSQL Integration

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Automatically back up and analyze your Delighted survey responses in PostgreSQL. Latenode's visual editor makes custom reporting easy, and affordable pay-by-execution pricing saves you money as you scale data insights.

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Delighted

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Delighted and PostgreSQL

Create a New Scenario to Connect Delighted and PostgreSQL

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Delighted, triggered by another scenario, or executed manually (for testing purposes). In most cases, Delighted or PostgreSQL will be your first step. To do this, click "Choose an app," find Delighted or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Delighted Node

Select the Delighted node from the app selection panel on the right.

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Delighted

Configure the Delighted

Click on the Delighted node to configure it. You can modify the Delighted URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the Delighted node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.

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Authenticate PostgreSQL

Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.

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Configure the Delighted and PostgreSQL Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Delighted and PostgreSQL Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Delighted, PostgreSQL, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Delighted and PostgreSQL integration works as expected. Depending on your setup, data should flow between Delighted and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Delighted and PostgreSQL

Delighted + PostgreSQL + Slack: When a new response is received in Delighted, the response data is stored in a PostgreSQL database. If the response is negative, a notification is sent to a Slack channel.

Delighted + Jira + PostgreSQL: When a new response is received from Delighted, the response is stored in PostgreSQL. If the response is negative, a new issue is created in Jira.

Delighted and PostgreSQL integration alternatives

About Delighted

Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

See how Latenode works

FAQ Delighted and PostgreSQL

How can I connect my Delighted account to PostgreSQL using Latenode?

To connect your Delighted account to PostgreSQL on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Delighted and click on "Connect".
  • Authenticate your Delighted and PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically back up Delighted survey results to PostgreSQL?

Yes, with Latenode! Automate backups for data security and analysis. Benefit from Latenode's reliability and scalability to handle large datasets without coding.

What types of tasks can I perform by integrating Delighted with PostgreSQL?

Integrating Delighted with PostgreSQL allows you to perform various tasks, including:

  • Storing all Delighted survey responses in a PostgreSQL database.
  • Analyzing survey data trends using SQL queries.
  • Creating custom reports based on feedback from Delighted.
  • Triggering automated actions based on survey scores.
  • Updating customer records in PostgreSQL with survey feedback.

How secure is Delighted data transfer using Latenode integration?

Latenode uses secure connections and encryption to ensure your Delighted data remains safe while being transferred to your PostgreSQL database.

Are there any limitations to the Delighted and PostgreSQL integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations might require JavaScript code blocks.
  • Real-time synchronization depends on the Delighted API rate limits.
  • Initial setup requires a basic understanding of database structures.

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