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

Google Cloud Firestore
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Calendly

Authenticate Calendly
Now, click the Calendly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Calendly settings. Authentication allows you to use Calendly through Latenode.
Configure the Google Cloud Firestore and Calendly 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 Calendly 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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Calendly
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, Calendly, 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 Calendly integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Calendly (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 Calendly
Calendly + Google Cloud Firestore + Slack: When a new invitee is created in Calendly, their information is stored in Google Cloud Firestore, and a notification is sent to a Slack channel.
Google Cloud Firestore + Calendly + Google Sheets: When a document is created in Google Cloud Firestore, check Calendly for available event types, and then add a row to a Google Sheet with the details.
Google Cloud Firestore and Calendly 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 Calendly
Automate meeting scheduling with Calendly in Latenode. Trigger workflows based on new bookings or cancellations. Automatically update CRMs, send personalized follow-ups, or manage team calendars, freeing up valuable time. Latenode adds flexible logic and integrations Calendly lacks, all visually and affordably.
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FAQ Google Cloud Firestore and Calendly
How can I connect my Google Cloud Firestore account to Calendly using Latenode?
To connect your Google Cloud Firestore account to Calendly 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 Calendly accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Firestore when a Calendly event is booked?
Yes, you can! Latenode's visual editor makes this simple. Automatically log new Calendly bookings in Google Cloud Firestore for streamlined data management and analysis.
What types of tasks can I perform by integrating Google Cloud Firestore with Calendly?
Integrating Google Cloud Firestore with Calendly allows you to perform various tasks, including:
- Create new Google Cloud Firestore documents from new Calendly bookings.
- Update Google Cloud Firestore documents when Calendly events are canceled.
- Send customized email notifications based on Calendly event details from Firestore.
- Schedule Google Cloud Firestore data backups triggered by Calendly events.
- Synchronize contact data between Google Cloud Firestore and Calendly.
How secure is my Google Cloud Firestore data when using Latenode?
Latenode employs robust security measures, including encryption and access controls, safeguarding your Google Cloud Firestore data during integration and automation processes.
Are there any limitations to the Google Cloud Firestore and Calendly integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript coding.
- Very high-volume operations can be subject to API rate limits.
- Advanced Firestore queries beyond basic filters might need custom implementation.