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

Google Cloud Firestore
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Miro

Authenticate Miro
Now, click the Miro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Miro settings. Authentication allows you to use Miro through Latenode.
Configure the Google Cloud Firestore and Miro 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 Miro 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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Miro
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, Miro, 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 Miro integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Miro (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 Miro
Google Cloud Firestore + Miro + Slack: When a document is updated in Firestore indicating a new feature launch, a Miro board is created for brainstorming. A Slack message is then sent to a specified channel notifying the team about the new board.
Miro + Google Cloud Firestore + Jira: When a new item is created or updated on a Miro board, the item's data is used to create a new document in Firestore. Subsequently, a Jira issue is created based on the data from the Firestore document.
Google Cloud Firestore and Miro 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 Miro
Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.
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FAQ Google Cloud Firestore and Miro
How can I connect my Google Cloud Firestore account to Miro using Latenode?
To connect your Google Cloud Firestore account to Miro 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 Miro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Miro boards from Firestore data?
Yes, you can! Latenode allows real-time Miro board updates based on Firestore changes. Keep project plans synchronized effortlessly with automated data flows.
What types of tasks can I perform by integrating Google Cloud Firestore with Miro?
Integrating Google Cloud Firestore with Miro allows you to perform various tasks, including:
- Create new Miro cards from updated Firestore database entries.
- Automatically update Miro sticky notes with Firestore document changes.
- Generate Miro boards based on data retrieved from Google Cloud Firestore.
- Sync project task statuses between Firestore and Miro in real-time.
- Visualize Firestore data as interactive Miro diagrams for presentations.
What kind of data transformations can I perform with Firestore data?
Latenode’s JavaScript blocks allow you to transform and format Firestore data before sending it to Miro, giving full control.
Are there any limitations to the Google Cloud Firestore and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data structures in Firestore might require custom JavaScript parsing.
- Miro API rate limits may affect high-volume data synchronization.
- Real-time updates depend on the responsiveness of both Google Cloud Firestore and Miro APIs.