Landbot.io and PostgreSQL Integration

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Capture Landbot.io conversation data in PostgreSQL for analysis and reporting. Latenode’s visual editor simplifies complex data flows, while affordable execution-based pricing makes scaling data-driven insights easy.

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Landbot.io

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Landbot.io and PostgreSQL

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

Add the Landbot.io Node

Select the Landbot.io node from the app selection panel on the right.

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Configure the Landbot.io

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

Landbot.io + PostgreSQL + Slack: When a new event is watched in Landbot.io, the data from the event is inserted as a new row into a PostgreSQL database. If the new row meets a high score condition (determined by a SQL query), a notification is sent to a Slack channel.

PostgreSQL + Landbot.io + Google Sheets: When a new or updated row is added to the PostgreSQL database, it triggers a targeted chatflow in Landbot.io using customer fields. The results of this chatflow, specifically updates to lead information, are then tracked by updating a row in a Google Sheet.

Landbot.io and PostgreSQL integration alternatives

About Landbot.io

Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.

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 Landbot.io and PostgreSQL

How can I connect my Landbot.io account to PostgreSQL using Latenode?

To connect your Landbot.io account to PostgreSQL on Latenode, follow these steps:

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

Can I store chatbot data in a PostgreSQL database?

Yes, you can easily store Landbot.io data in PostgreSQL. Latenode simplifies this, allowing you to use no-code blocks or JavaScript for complex transformations and real-time data analysis.

What types of tasks can I perform by integrating Landbot.io with PostgreSQL?

Integrating Landbot.io with PostgreSQL allows you to perform various tasks, including:

  • Storing Landbot.io conversation data directly into a PostgreSQL database.
  • Updating PostgreSQL records based on user inputs from Landbot.io chatbots.
  • Triggering automated workflows based on data changes in PostgreSQL.
  • Analyzing chatbot conversation data stored in PostgreSQL for insights.
  • Creating custom reports using PostgreSQL data populated via Landbot.io.

Can I use JavaScript to manipulate data between Landbot.io and PostgreSQL?

Yes, Latenode allows you to use JavaScript code blocks to transform data between Landbot.io and PostgreSQL, offering advanced customization.

Are there any limitations to the Landbot.io and PostgreSQL integration on Latenode?

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

  • Large data transfers can impact workflow execution time.
  • Complex PostgreSQL queries may require optimization for best performance.
  • Real-time data synchronization depends on network conditions and API availability.

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