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

Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.


Google Cloud Storage

Configure the Google Cloud Storage
Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Landbot.io Node
Next, click the plus (+) icon on the Google Cloud Storage node, select Landbot.io from the list of available apps, and choose the action you need from the list of nodes within Landbot.io.


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Authenticate Landbot.io
Now, click the Landbot.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Landbot.io settings. Authentication allows you to use Landbot.io through Latenode.
Configure the Google Cloud Storage and Landbot.io 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 Google Cloud Storage and Landbot.io 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.

JavaScript
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AI Anthropic Claude 3
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Landbot.io
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Storage, Landbot.io, 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 Google Cloud Storage and Landbot.io integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Landbot.io (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Storage and Landbot.io
Landbot.io + Google Cloud Storage + Google Sheets: When a new event is triggered in Landbot, the data is stored as a file in Google Cloud Storage. After storing the data, a summary of the response is logged to Google Sheets for analysis.
Landbot.io + Google Cloud Storage + AI Agent: When Landbot collects data, it stores it in Google Cloud Storage. The AI Agent analyzes the stored responses for insights and patterns.
Google Cloud Storage and Landbot.io integration alternatives

About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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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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See how Latenode works
FAQ Google Cloud Storage and Landbot.io
How can I connect my Google Cloud Storage account to Landbot.io using Latenode?
To connect your Google Cloud Storage account to Landbot.io on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and Landbot.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically save Landbot.io chat transcripts to Google Cloud Storage?
Yes, you can. Latenode's visual editor makes it easy to create automated workflows that save chat transcripts to Google Cloud Storage, ensuring secure and scalable data storage.
What types of tasks can I perform by integrating Google Cloud Storage with Landbot.io?
Integrating Google Cloud Storage with Landbot.io allows you to perform various tasks, including:
- Store files uploaded via Landbot.io directly in Google Cloud Storage.
- Use Google Cloud Storage files to personalize Landbot.io conversations.
- Automatically backup Landbot.io chatbot data to Google Cloud Storage.
- Trigger Landbot.io conversations based on new files in Google Cloud Storage.
- Analyze chatbot data stored in Google Cloud Storage with Latenode's AI tools.
How secure is my Google Cloud Storage data when using Latenode?
Latenode uses secure authentication protocols to access your Google Cloud Storage, ensuring your data remains protected throughout all automation workflows.
Are there any limitations to the Google Cloud Storage and Landbot.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers may impact workflow execution time.
- Real-time synchronization of data isn't guaranteed due to API limitations.
- Complex data transformations might require custom JavaScript code.