How to connect Google Cloud Firestore and Moxie
Create a New Scenario to Connect Google Cloud Firestore and Moxie
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Moxie will be your first step. To do this, click "Choose an app," find Google Cloud Firestore or Moxie, 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 Moxie Node
Next, click the plus (+) icon on the Google Cloud Firestore node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.

Google Cloud Firestore
β
Moxie
Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the Google Cloud Firestore and Moxie 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 Moxie 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 donβt 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
β
AI Anthropic Claude 3
β
Moxie
Trigger on Webhook
β
Google Cloud Firestore
β
β
Iterator
β
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Moxie, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud Firestore and Moxie integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Moxie (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 Moxie
Moxie + Google Cloud Firestore + Slack: When a new Moxie form submission is created, the data is stored in Google Cloud Firestore. A Slack message is then sent to a designated channel to notify relevant team members.
Moxie + Google Cloud Firestore + Salesforce: When a new Moxie form submission is created, the interaction data is logged into a Google Cloud Firestore document. The Salesforce lead information is then updated with the details from the Moxie form submission.
Google Cloud Firestore and Moxie 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 Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Firestore and Moxie
How can I connect my Google Cloud Firestore account to Moxie using Latenode?
To connect your Google Cloud Firestore account to Moxie 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 Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger Moxie chats from Firestore data changes?
Yes, you can! Latenode enables real-time triggers based on Firestore events, automatically starting Moxie conversations. Respond instantly to user actions with zero code.
What types of tasks can I perform by integrating Google Cloud Firestore with Moxie?
Integrating Google Cloud Firestore with Moxie allows you to perform various tasks, including:
- Automatically create Moxie tickets from new Firestore document entries.
- Update Firestore data when a Moxie chat status changes.
- Send personalized Moxie messages based on Firestore user data.
- Log Moxie chat transcripts directly into a Firestore collection.
- Trigger targeted Moxie campaigns based on Firestore data segments.
How secure is my Firestore data when using Latenode?
Latenode employs enterprise-grade security measures, including encryption and access controls, to safeguard your data during all Google Cloud Firestore integrations.
Are there any limitations to the Google Cloud Firestore and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript code blocks.
- Very high-volume operations could be subject to Google Cloud Firestore API rate limits.
- Moxie functionality is limited to actions supported by its API.