How to connect Jibble and Google Cloud Firestore
Create a New Scenario to Connect Jibble and Google Cloud Firestore
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 Jibble, triggered by another scenario, or executed manually (for testing purposes). In most cases, Jibble or Google Cloud Firestore will be your first step. To do this, click "Choose an app," find Jibble or Google Cloud Firestore, and select the appropriate trigger to start the scenario.

Add the Jibble Node
Select the Jibble node from the app selection panel on the right.


Jibble

Add the Google Cloud Firestore Node
Next, click the plus (+) icon on the Jibble node, select Google Cloud Firestore from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Firestore.


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Google Cloud Firestore

Authenticate Google Cloud Firestore
Now, click the Google Cloud Firestore node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Firestore settings. Authentication allows you to use Google Cloud Firestore through Latenode.
Configure the Jibble and Google Cloud Firestore 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 Jibble and Google Cloud Firestore 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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AI Anthropic Claude 3
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Google Cloud Firestore
Trigger on Webhook
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Jibble
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Jibble, Google Cloud Firestore, 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 Jibble and Google Cloud Firestore integration works as expected. Depending on your setup, data should flow between Jibble and Google Cloud Firestore (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Jibble and Google Cloud Firestore
Jibble + Google Cloud Firestore + Slack: When a new clock-in or clock-out event is recorded in Jibble, the data is saved to a specified collection in Google Cloud Firestore. Then, a message is sent to a designated Slack channel to notify HR about the late arrival or departure.
Jibble + Google Cloud Firestore + Google Sheets: Track employee hours from Jibble by triggering on new clock in/out events. Save the data into Google Cloud Firestore, then summarize the data by writing it into a Google Sheet for reporting and analysis.
Jibble and Google Cloud Firestore integration alternatives

About Jibble
Jibble streamlines time tracking. Connect it to Latenode to automate payroll, project costing, or attendance alerts. Send Jibble data to accounting software or HR platforms automatically. Use Latenode's visual editor to create custom rules and notifications based on employee time entries, eliminating manual data transfer and ensuring accurate records.
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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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See how Latenode works
FAQ Jibble and Google Cloud Firestore
How can I connect my Jibble account to Google Cloud Firestore using Latenode?
To connect your Jibble account to Google Cloud Firestore on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Jibble and click on "Connect".
- Authenticate your Jibble and Google Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track employee hours and save to Firestore?
Yes, you can! Latenode lets you build workflows that automatically record Jibble attendance data in Google Cloud Firestore for analysis. Use JavaScript to transform data as needed!
What types of tasks can I perform by integrating Jibble with Google Cloud Firestore?
Integrating Jibble with Google Cloud Firestore allows you to perform various tasks, including:
- Storing employee attendance data from Jibble in Google Cloud Firestore.
- Creating custom reports based on Jibble data within Firestore.
- Triggering alerts based on attendance patterns via Firestore updates.
- Calculating project costs using Jibble time data in Google Cloud Firestore.
- Archiving historical attendance records from Jibble to Firestore.
What Jibble data can Latenode access for automation purposes?
Latenode can access user details, attendance records, project data, and organizational structure from Jibble to automate your workflows.
Are there any limitations to the Jibble and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time data synchronization depends on Jibble's API rate limits.
- Complex data transformations may require JavaScript knowledge.
- Large datasets may impact workflow execution speed.