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

Google Cloud Firestore
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Fibery
Authenticate Fibery
Now, click the Fibery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fibery settings. Authentication allows you to use Fibery through Latenode.
Configure the Google Cloud Firestore and Fibery 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 Fibery 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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Fibery
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, Fibery, 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 Fibery integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Fibery (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 Fibery
Google Cloud Firestore + Fibery + Slack: When a document is created or updated in Firestore, find the corresponding entity in Fibery. Then, send a message to a Slack channel to notify team members of the change and provide a link to the Fibery entity.
Fibery + Google Cloud Firestore + Google Sheets: When an entity is created or updated in Fibery, update the corresponding row in a Google Sheet. Then, trigger a Firestore update to back up these changes for analysis and reporting purposes.
Google Cloud Firestore and Fibery 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 Fibery
Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.
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FAQ Google Cloud Firestore and Fibery
How can I connect my Google Cloud Firestore account to Fibery using Latenode?
To connect your Google Cloud Firestore account to Fibery 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 Fibery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync Firestore documents to Fibery features?
Yes, you can easily sync Firestore documents as Fibery features. Latenode's visual editor and data transformations simplify the process, ensuring data consistency between your databases and project management tools.
What types of tasks can I perform by integrating Google Cloud Firestore with Fibery?
Integrating Google Cloud Firestore with Fibery allows you to perform various tasks, including:
- Automatically create Fibery features from new Firestore entries.
- Update Fibery features when corresponding Firestore documents change.
- Sync Firestore user data to Fibery for enhanced project context.
- Trigger Fibery automations based on Firestore data updates.
- Centralize data insights from Firestore within Fibery reports.
How secure is the Google Cloud Firestore connection on Latenode?
Latenode uses secure authentication protocols for Google Cloud Firestore, ensuring your data is protected during integration and workflow execution.
Are there any limitations to the Google Cloud Firestore and Fibery 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 synchronizations can consume significant processing time.
- Real-time updates depend on the polling interval set in Latenode.