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

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

Google Cloud BigQuery (REST)
Configure the Google Cloud BigQuery (REST)
Click on the Google Cloud BigQuery (REST) node to configure it. You can modify the Google Cloud BigQuery (REST) URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google AppSheet Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Google AppSheet from the list of available apps, and choose the action you need from the list of nodes within Google AppSheet.

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Authenticate Google AppSheet
Now, click the Google AppSheet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AppSheet settings. Authentication allows you to use Google AppSheet through Latenode.
Configure the Google Cloud BigQuery (REST) and Google AppSheet 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 BigQuery (REST) and Google AppSheet 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Google AppSheet, 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 BigQuery (REST) and Google AppSheet integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Google AppSheet (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 BigQuery (REST) and Google AppSheet
Google AppSheet + Google Sheets + Slack: When a new record is added in Google AppSheet, the data is added to a Google Sheet for analysis. If certain criteria are met based on the data, a Slack message is sent to a specified channel.
Google AppSheet + Google Sheets + Google Sheets: When a new record is added in Google AppSheet, the data is added as a new row in Google Sheets. Periodically, data from Google Sheets is used to calculate summary reports, and those reports are added to a separate Google Sheet.
Google Cloud BigQuery (REST) and Google AppSheet integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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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.
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FAQ Google Cloud BigQuery (REST) and Google AppSheet
How can I connect my Google Cloud BigQuery (REST) account to Google AppSheet using Latenode?
To connect your Google Cloud BigQuery (REST) account to Google AppSheet on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Google AppSheet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation based on database changes?
Yes, you can. Latenode’s visual editor simplifies creating automated workflows, triggering AppSheet reports whenever data changes in Google Cloud BigQuery (REST), ensuring timely insights.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Google AppSheet?
Integrating Google Cloud BigQuery (REST) with Google AppSheet allows you to perform various tasks, including:
- Sync BigQuery data to AppSheet for mobile app visualization.
- Automate AppSheet updates based on BigQuery query results.
- Trigger custom notifications from AppSheet on BigQuery data changes.
- Create dashboards in AppSheet with real-time BigQuery information.
- Generate reports in AppSheet using data from Google Cloud BigQuery (REST).
Can I use JavaScript code to transform data between these apps?
Yes, Latenode allows you to use JavaScript code blocks to transform data between Google Cloud BigQuery (REST) and Google AppSheet, for complex data manipulations.
Are there any limitations to the Google Cloud BigQuery (REST) and Google AppSheet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to API rate limits.
- Complex data transformations might require advanced JavaScript knowledge.
- Real-time updates depend on the polling interval and API availability.