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

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Authenticate Figma
Now, click the Figma node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Figma settings. Authentication allows you to use Figma through Latenode.
Configure the Google Cloud Firestore and Figma 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 Figma 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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Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Figma, 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 Figma integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Figma (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 Figma
Google Cloud Firestore + Slack + Figma: When a document in Google Cloud Firestore is updated, indicating a design update is needed, a message is sent to a Slack channel to notify the design team with a link to the relevant Figma file.
Figma + Google Cloud Firestore + Jira: When a new design is finalized (version created) in Figma, a task is created in Jira to implement it, and the Figma file link and Jira task ID are stored in a new document in Google Cloud Firestore.
Google Cloud Firestore and Figma 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 Figma
Automate design workflows by connecting Figma to Latenode. Extract design assets, update text layers based on database values, or trigger notifications on component changes. Scale design operations by automating repetitive tasks and integrating them into broader business processes using Latenode's visual editor and code customization options.
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FAQ Google Cloud Firestore and Figma
How can I connect my Google Cloud Firestore account to Figma using Latenode?
To connect your Google Cloud Firestore account to Figma 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 Figma accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Figma designs from Firestore data?
Yes, you can! Latenode's visual editor and data mapping tools make it simple to link Firestore data to Figma designs, ensuring your designs are always current with the latest data.
What types of tasks can I perform by integrating Google Cloud Firestore with Figma?
Integrating Google Cloud Firestore with Figma allows you to perform various tasks, including:
- Syncing design mockups with real-time Firestore data.
- Generating design variations based on Firestore document changes.
- Automatically updating text layers in Figma from Firestore entries.
- Triggering design reviews in Figma when Firestore data is updated.
- Creating design prototypes using live Firestore content.
Can I trigger Latenode workflows from Firestore document updates?
Yes! Latenode lets you trigger workflows from Firestore. React to new data by automating tasks across all your connected apps with ease.
Are there any limitations to the Google Cloud Firestore and Figma integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require custom JavaScript code.
- Real-time updates in Figma depend on the polling interval configured in Latenode.
- Large datasets from Firestore may impact workflow execution speed.