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

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

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

Google Cloud Firestore
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Typebot

Authenticate Typebot
Now, click the Typebot node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Typebot settings. Authentication allows you to use Typebot through Latenode.
Configure the Google Cloud Firestore and Typebot 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 Firestore and Typebot 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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Typebot
Trigger on Webhook
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Google Cloud Firestore
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Firestore, Typebot, 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 Firestore and Typebot integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Typebot (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 Firestore and Typebot
Typebot + Google Cloud Firestore + Slack: When a new Typebot submission is received, the data is stored in Google Cloud Firestore. If a specific condition is met (e.g., a negative feedback score), a notification is sent to a Slack channel.
Typebot + Google Cloud Firestore + Google Sheets: When a new Typebot submission is received, the answers are stored in Google Cloud Firestore. Simultaneously, the answers are also added as a new row in a Google Sheet for reporting purposes.
Google Cloud Firestore and Typebot integration alternatives
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.
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About Typebot
Use Typebot in Latenode to build interactive chatbots for lead capture or support. Connect Typebot to your workflows to qualify leads and send data to your CRM, database, or other apps. Automate personalized experiences and complex logic visually, then scale affordably with Latenode’s usage-based pricing.
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FAQ Google Cloud Firestore and Typebot
How can I connect my Google Cloud Firestore account to Typebot using Latenode?
To connect your Google Cloud Firestore account to Typebot on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Firestore and click on "Connect".
- Authenticate your Google Cloud Firestore and Typebot accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Firestore with new Typebot form submissions?
Yes, you can! Latenode allows real-time data transfer between Typebot and Google Cloud Firestore, ensuring your database is always up-to-date. Automate your data handling and improve data accuracy.
What types of tasks can I perform by integrating Google Cloud Firestore with Typebot?
Integrating Google Cloud Firestore with Typebot allows you to perform various tasks, including:
- Store Typebot responses directly into Google Cloud Firestore documents.
- Trigger Typebot flows when a new document is added to Firestore.
- Update existing Firestore documents based on Typebot input.
- Use data from Firestore to personalize Typebot conversations.
- Analyze Typebot response data stored in Google Cloud Firestore.
Can I use JavaScript to manipulate data during the integration?
Yes! Latenode allows you to use JavaScript code blocks to transform data between Google Cloud Firestore and Typebot, adding advanced customization.
Are there any limitations to the Google Cloud Firestore and Typebot integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require advanced JavaScript knowledge.
- Large data volumes might affect workflow execution time.
- Real-time updates depend on the API limits of both services.