How to connect Landbot.io and Google Cloud Firestore
Create a New Scenario to Connect Landbot.io and Google Cloud Firestore
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 Google Cloud Firestore will be your first step. To do this, click "Choose an app," find Landbot.io or Google Cloud Firestore, 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 Firestore Node
Next, click the plus (+) icon on the Landbot.io node, select Google Cloud Firestore from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Firestore.

Landbot.io
⚙
Google Cloud Firestore
Authenticate Google Cloud Firestore
Now, click the Google Cloud Firestore node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Firestore settings. Authentication allows you to use Google Cloud Firestore through Latenode.
Configure the Landbot.io and Google Cloud Firestore 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 Firestore 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
⚙
AI Anthropic Claude 3
⚙
Google Cloud Firestore
Trigger on Webhook
⚙
Landbot.io
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Landbot.io, Google Cloud Firestore, 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 Google Cloud Firestore integration works as expected. Depending on your setup, data should flow between Landbot.io and Google Cloud Firestore (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 Google Cloud Firestore
Landbot.io + Google Cloud Firestore + Slack: Capture survey responses from Landbot, store the data in Google Cloud Firestore, and send a summary of key insights to a dedicated Slack channel.
Google Cloud Firestore + Landbot.io + Google Sheets: When data changes in Google Cloud Firestore, update a customer field in Landbot and log the updated information to Google Sheets for tracking and analysis.
Landbot.io and Google Cloud Firestore 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.
Similar apps
Related categories
About Google Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
Similar apps
Related categories
See how Latenode works
FAQ Landbot.io and Google Cloud Firestore
How can I connect my Landbot.io account to Google Cloud Firestore using Latenode?
To connect your Landbot.io account to Google Cloud Firestore 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 Google Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I store chatbot data in Google Cloud Firestore?
Yes, easily! Latenode’s visual editor allows you to seamlessly transfer data from Landbot.io to Google Cloud Firestore, ensuring secure and scalable storage of customer interactions.
What types of tasks can I perform by integrating Landbot.io with Google Cloud Firestore?
Integrating Landbot.io with Google Cloud Firestore allows you to perform various tasks, including:
- Store chatbot conversation data in a structured database.
- Update user profiles in Firestore based on chatbot responses.
- Trigger personalized marketing campaigns from chatbot interactions.
- Analyze chatbot data to improve customer engagement.
- Create real-time dashboards of chatbot performance.
How do I handle errors during data transfer?
Latenode provides robust error handling and logging, allowing you to monitor and resolve issues in real-time, ensuring data integrity between apps.
Are there any limitations to the Landbot.io and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript coding.
- Large data transfers might impact workflow execution time.
- Rate limits of Landbot.io and Google Cloud Firestore still apply.