Bouncer and PostgreSQL Integration

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Enrich Bouncer's fraud prevention data by logging detailed event information in PostgreSQL. Latenode’s visual editor makes it easy to customize data mapping and business logic, while affordable execution pricing scales efficiently with your business.

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Bouncer

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Bouncer and PostgreSQL

Create a New Scenario to Connect Bouncer 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 Bouncer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bouncer or PostgreSQL will be your first step. To do this, click "Choose an app," find Bouncer or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Bouncer Node

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

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Bouncer

Configure the Bouncer

Click on the Bouncer node to configure it. You can modify the Bouncer 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 Bouncer 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 Bouncer 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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Set Up the Bouncer 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 Bouncer, 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 Bouncer and PostgreSQL integration works as expected. Depending on your setup, data should flow between Bouncer 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 Bouncer and PostgreSQL

Bouncer + PostgreSQL + Slack: When Bouncer verifies an email and flags it, the corresponding customer record in PostgreSQL is updated, and a notification is sent to the sales team in Slack.

Bouncer + Google Sheets + PostgreSQL: After verifying emails with Bouncer, results are logged to a Google Sheet. If a specific email validation status occurs, the corresponding row in PostgreSQL is updated.

Bouncer and PostgreSQL integration alternatives

About Bouncer

Use Bouncer in Latenode to verify email deliverability inside your marketing automation. Connect it to lead sources, CRMs, or signup forms. Stop sending emails to invalid addresses and improve sender reputation directly from your Latenode workflows. Add custom logic via JavaScript for advanced filtering.

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 Bouncer and PostgreSQL

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

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

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

Can I automatically back up validated email lists?

Yes, you can! Latenode lets you automate backups using a visual interface and custom logic, safeguarding valuable email data effortlessly and ensuring data integrity.

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

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

  • Storing validated email addresses from Bouncer in a PostgreSQL database.
  • Automating data synchronization between Bouncer and PostgreSQL.
  • Creating custom reports based on Bouncer validation results.
  • Triggering PostgreSQL updates based on Bouncer email verification status.
  • Building dashboards to visualize email validation performance metrics.

What Bouncer data can I access within Latenode workflows?

Latenode allows you to access Bouncer’s verification statuses, deliverability scores, and detailed diagnostic information, empowering intelligent automation.

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

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

  • Large-scale data migrations might require optimized workflow design.
  • Complex Bouncer API rate limits may affect high-volume workflows.
  • Custom PostgreSQL queries require familiarity with SQL syntax.

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