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

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Authenticate Typeform
Now, click the Typeform node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Typeform settings. Authentication allows you to use Typeform through Latenode.
Configure the Google Cloud Firestore and Typeform 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 Typeform 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Firestore, Typeform, 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 Typeform integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Typeform (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 Typeform
Typeform + Google Cloud Firestore + Slack: When a new submission is received in Typeform, the data is stored as a new document in Google Cloud Firestore. A message is then sent to a Slack channel to notify the team about the new submission.
Typeform + Google Cloud Firestore + Google Sheets: When a new submission is received in Typeform, the data is stored as a new document in Google Cloud Firestore. Simultaneously, a new row is added to a Google Sheet to create a summary report of all submissions.
Google Cloud Firestore and Typeform 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 Typeform
Capture leads and feedback with Typeform, then instantly pipe that data into Latenode for automated processing. Update databases, trigger email sequences, or send notifications. Use Latenode's visual builder to create custom workflows triggered by Typeform submissions. Extend with AI, JavaScript, and more.
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See how Latenode works
FAQ Google Cloud Firestore and Typeform
How can I connect my Google Cloud Firestore account to Typeform using Latenode?
To connect your Google Cloud Firestore account to Typeform 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 Typeform accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I store Typeform responses in Google Cloud Firestore automatically?
Yes, you can! Latenode automates this, forwarding new Typeform entries directly to Google Cloud Firestore for organized data storage and analysis. Centralize your data effortlessly.
What types of tasks can I perform by integrating Google Cloud Firestore with Typeform?
Integrating Google Cloud Firestore with Typeform allows you to perform various tasks, including:
- Store new Typeform entries directly in a Google Cloud Firestore collection.
- Update Google Cloud Firestore documents based on Typeform responses.
- Trigger workflows based on specific answers in a Typeform submission.
- Analyze Typeform data stored in Google Cloud Firestore using AI blocks.
- Create custom reports based on combined Google Cloud Firestore and Typeform data.
How secure is the Google Cloud Firestore connection on Latenode?
Latenode utilizes secure authentication protocols and data encryption to ensure the safety and integrity of your Google Cloud Firestore data.
Are there any limitations to the Google Cloud Firestore and Typeform 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 can be subject to Google Cloud Firestore API limits.
- Real-time synchronization depends on API availability and network conditions.