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Capture Landbot.io chatbot data in Google Cloud BigQuery (REST) for analysis. Latenode offers custom JavaScript transforms to prep data, plus affordable scaling as your chatbot use grows.
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Create a New Scenario to Connect Landbot.io and Google Cloud BigQuery (REST)
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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 Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Landbot.io or Google Cloud BigQuery (REST), 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.
Landbot.io
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.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Landbot.io node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
Landbot.io
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Landbot.io and Google Cloud BigQuery (REST) Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Landbot.io and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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Landbot.io
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Landbot.io, Google Cloud BigQuery (REST), and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Landbot.io and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Landbot.io and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Landbot.io + Google Cloud BigQuery (REST) + Google Sheets: When a new event is triggered in Landbot, the data is sent to Google Cloud BigQuery for analysis. The analyzed data is then used to update a Google Sheet, providing visualized insights.
Google Cloud BigQuery (REST) + Landbot.io + Slack: When a new row is added to a BigQuery table, a Landbot chatbot is triggered to engage with a specific customer. A notification is also sent to a Slack channel to alert the team.
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.
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About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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How can I connect my Landbot.io account to Google Cloud BigQuery (REST) using Latenode?
To connect your Landbot.io account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze chatbot data in BigQuery?
Yes, you can! Latenode lets you automate data transfer. Gain insights by analyzing user conversations in BigQuery for improved chatbot performance and personalized experiences.
What types of tasks can I perform by integrating Landbot.io with Google Cloud BigQuery (REST)?
Integrating Landbot.io with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
What Landbot.io events can trigger workflows in Latenode?
New conversations, completed forms, and specific user actions in Landbot.io can trigger Latenode workflows, enabling automated responses and data handling.
Are there any limitations to the Landbot.io and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: