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

Google Cloud Firestore
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Process Street

Authenticate Process Street
Now, click the Process Street node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Process Street settings. Authentication allows you to use Process Street through Latenode.
Configure the Google Cloud Firestore and Process Street 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 Process Street 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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Process Street
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, Process Street, 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 Process Street integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Process Street (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 Process Street
Google Cloud Firestore + Process Street + Slack: When a document is updated in Google Cloud Firestore, find the associated workflow run in Process Street and update it. Then, send a message to a Slack channel notifying the team about the update.
Process Street + Google Cloud Firestore + Google Sheets: When a Process Street workflow run is completed, update a Firestore document with the checklist data. Then, add a row to a Google Sheet summarizing the results for reporting.
Google Cloud Firestore and Process Street 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 Process Street
Use Process Street in Latenode to run repeatable tasks like onboarding or reports as part of larger workflows. Automatically trigger actions in other apps (CRM, databases) when checklist items are completed, keeping processes moving. This avoids manual updates and ensures audit trails, all at Latenode's execution-based pricing.
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FAQ Google Cloud Firestore and Process Street
How can I connect my Google Cloud Firestore account to Process Street using Latenode?
To connect your Google Cloud Firestore account to Process Street 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 Process Street accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger Process Street checklists from Firestore data changes?
Yes, you can! Latenode enables real-time triggers based on Firestore updates, launching checklists in Process Street. Automate workflows, improve efficiency, and ensure consistent processes.
What types of tasks can I perform by integrating Google Cloud Firestore with Process Street?
Integrating Google Cloud Firestore with Process Street allows you to perform various tasks, including:
- Creating Process Street checklists from new Firestore entries.
- Updating Firestore documents when a Process Street task is completed.
- Triggering alerts in Process Street based on Firestore data thresholds.
- Populating Firestore fields from Process Street checklist responses.
- Automating data backups from Firestore into Process Street checklists.
Can I use JavaScript code to transform Firestore data inside Latenode?
Yes, Latenode allows you to use JavaScript for complex data transformations between Google Cloud Firestore and other applications.
Are there any limitations to the Google Cloud Firestore and Process Street integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Firestore queries requiring advanced indexing might require custom JavaScript.
- Real-time updates are subject to Google Cloud Firestore's stream limitations.
- Very large data transfers might experience delays based on API rate limits.