Google AppSheet and TidyCal Integration

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Automatically update Google AppSheet with new TidyCal bookings, keeping your data synced in real time. Latenode's flexible API integrations and affordable execution pricing simplify complex workflows with ease and scale.

Swap Apps

Google AppSheet

TidyCal

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AppSheet and TidyCal

Create a New Scenario to Connect Google AppSheet and TidyCal

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google AppSheet, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AppSheet or TidyCal will be your first step. To do this, click "Choose an app," find Google AppSheet or TidyCal, and select the appropriate trigger to start the scenario.

Add the Google AppSheet Node

Select the Google AppSheet node from the app selection panel on the right.

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Google AppSheet

Configure the Google AppSheet

Click on the Google AppSheet node to configure it. You can modify the Google AppSheet URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the TidyCal Node

Next, click the plus (+) icon on the Google AppSheet node, select TidyCal from the list of available apps, and choose the action you need from the list of nodes within TidyCal.

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Google AppSheet

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Authenticate TidyCal

Now, click the TidyCal node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your TidyCal settings. Authentication allows you to use TidyCal through Latenode.

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Configure the Google AppSheet and TidyCal Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the Google AppSheet and TidyCal 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 donโ€™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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Save and Activate the Scenario

After configuring Google AppSheet, TidyCal, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Google AppSheet and TidyCal integration works as expected. Depending on your setup, data should flow between Google AppSheet and TidyCal (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AppSheet and TidyCal

TidyCal + Google AppSheet + Slack: When a new booking is made in TidyCal, find corresponding data in AppSheet, and then send a notification to a Slack channel.

Google AppSheet + TidyCal + Google Sheets: When a record is updated in AppSheet, trigger logging of TidyCal bookings to Google Sheets.

Google AppSheet and TidyCal integration alternatives

About Google AppSheet

Use Google AppSheet for no-code app creation and connect it to Latenode to automate back-end tasks. Trigger workflows on AppSheet events to update databases, send notifications, or process data. Centralize logic in Latenode, bypassing AppSheet limits and adding advanced features like AI, file parsing, or custom integrations via API and code.

About TidyCal

TidyCal in Latenode streamlines appointment scheduling. Automate follow-ups, CRM updates, or payment processing after each booking. Use Latenode to connect TidyCal to any app via API, transform booking data with JavaScript, and build custom workflows without code. No per-step cost, full control.

Google AppSheet + TidyCal integration

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FAQ Google AppSheet and TidyCal

How can I connect my Google AppSheet account to TidyCal using Latenode?

To connect your Google AppSheet account to TidyCal on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google AppSheet and click on "Connect".
  • Authenticate your Google AppSheet and TidyCal accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update AppSheet based on new TidyCal bookings?

Yes, with Latenode! Trigger AppSheet updates upon new TidyCal bookings, ensuring your data is always synchronized. Latenode's visual editor makes setup simple, no coding needed.

What types of tasks can I perform by integrating Google AppSheet with TidyCal?

Integrating Google AppSheet with TidyCal allows you to perform various tasks, including:

  • Log new TidyCal bookings in a Google AppSheet database.
  • Send customized email confirmations for bookings via AppSheet.
  • Track booking revenue directly within your AppSheet dashboard.
  • Generate reports from booking data within AppSheet automatically.
  • Update client contact information in AppSheet after each booking.

Can I use JavaScript to extend the Google AppSheet integration?

Yes! Latenode allows you to use JavaScript for advanced data manipulation and custom logic within your Google AppSheet workflows.

Are there any limitations to the Google AppSheet and TidyCal integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Real-time updates depend on the polling frequency configured.
  • Complex data transformations may require custom JavaScript code.
  • Large data volumes can impact workflow execution time.

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