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

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Authenticate Wave
Now, click the Wave node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wave settings. Authentication allows you to use Wave through Latenode.
Configure the Google Cloud Firestore and Wave 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 Wave 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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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Wave, 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 Wave integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Wave (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 Wave
Google Cloud Firestore + Slack + Wave: When a new document is created in Google Cloud Firestore, a message is sent to a specified Slack channel to notify the accounting team, who can then create a corresponding invoice in Wave if needed.
Wave + Google Cloud Firestore + Google Sheets: When a new invoice is created in Wave, the invoice data is backed up to a Firestore database and then logged as a new row in a Google Sheets spreadsheet for record-keeping and analysis.
Google Cloud Firestore and Wave 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 Wave
Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.
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See how Latenode works
FAQ Google Cloud Firestore and Wave
How can I connect my Google Cloud Firestore account to Wave using Latenode?
To connect your Google Cloud Firestore account to Wave 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 Wave accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice creation from Firestore data in Wave?
Yes, you can! Latenode allows seamless data transfer from Google Cloud Firestore to Wave, automatically generating invoices based on document changes. Save time and reduce errors.
What types of tasks can I perform by integrating Google Cloud Firestore with Wave?
Integrating Google Cloud Firestore with Wave allows you to perform various tasks, including:
- Create new Wave invoices from updated Google Cloud Firestore documents.
- Update customer information in Wave from Google Cloud Firestore data.
- Track invoice payments in Google Cloud Firestore from Wave transactions.
- Generate financial reports using combined data from both platforms.
- Automatically reconcile Wave transactions with Google Cloud Firestore records.
What Google Cloud Firestore event triggers are available on Latenode?
Latenode supports triggers for document creation, update, and deletion in Google Cloud Firestore, enabling real-time Wave automation.
Are there any limitations to the Google Cloud Firestore and Wave integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript knowledge.
- Large data sets may require optimization for efficient processing.
- Wave API rate limits can affect high-volume automation.