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

Google Cloud Firestore
⚙
Avaza
Authenticate Avaza
Now, click the Avaza node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Avaza settings. Authentication allows you to use Avaza through Latenode.
Configure the Google Cloud Firestore and Avaza 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 Avaza 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
⚙
Avaza
Trigger on Webhook
⚙
Google Cloud Firestore
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Avaza, 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 Avaza integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Avaza (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 Avaza
Google Cloud Firestore + Avaza + Slack: When a new document is created in Google Cloud Firestore, a new project is created in Avaza. Then, a message is sent to a Slack channel to notify the team about the new project.
Avaza + Google Cloud Firestore + Google Sheets: When a project is updated in Avaza, the project information is updated in a Firestore document. The updated data is then added as a new row to a Google Sheet for reporting purposes.
Google Cloud Firestore and Avaza 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.
Similar apps
Related categories
About Avaza
Automate project management with Avaza in Latenode. Create flows that sync tasks, track time, and manage expenses automatically. Use Latenode's visual editor to tailor Avaza workflows and connect them to other apps. Streamline reporting and billing cycles with no-code logic and custom scripts for efficient project oversight.
Related categories
See how Latenode works
FAQ Google Cloud Firestore and Avaza
How can I connect my Google Cloud Firestore account to Avaza using Latenode?
To connect your Google Cloud Firestore account to Avaza 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 Avaza accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync Firestore data to Avaza projects?
Yes, you can! Latenode allows you to automatically sync data, ensuring Avaza projects reflect real-time Firestore updates. Improve reporting and resource allocation with this automation.
What types of tasks can I perform by integrating Google Cloud Firestore with Avaza?
Integrating Google Cloud Firestore with Avaza allows you to perform various tasks, including:
- Create new Avaza projects based on Firestore document creation.
- Update Avaza task statuses when Firestore data changes.
- Log Firestore events as Avaza project updates for auditing.
- Trigger Avaza invoice creation from specific Firestore triggers.
- Synchronize Firestore user data with Avaza contact details.
What Firestore data types are supported in Latenode?
Latenode supports all standard Firestore data types including strings, numbers, booleans, arrays, maps, and timestamps for seamless integration.
Are there any limitations to the Google Cloud Firestore and Avaza integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript code blocks.
- Large data volumes might impact performance without optimization.
- Real-time synchronization depends on the responsiveness of both APIs.