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

Google Cloud BigQuery (REST)
⚙

Smartsheet

Authenticate Smartsheet
Now, click the Smartsheet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Smartsheet settings. Authentication allows you to use Smartsheet through Latenode.
Configure the Google Cloud BigQuery (REST) and Smartsheet 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 Smartsheet 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙

Smartsheet
Trigger on Webhook
⚙
Google Cloud BigQuery (REST)
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Smartsheet, 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 Smartsheet integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Smartsheet (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 Smartsheet
Google Cloud BigQuery (REST) + Smartsheet + Slack: A new row is added to a BigQuery table. This triggers an update to a specific row within Smartsheet with the new data. Finally, a Slack message is sent to a designated channel, notifying the team of the updated Smartsheet row.
Smartsheet + Google Cloud BigQuery (REST) + Google Sheets: A new event occurs in Smartsheet. This triggers a query in BigQuery. The results are then used to update a row in a Google Sheet.
Google Cloud BigQuery (REST) and Smartsheet 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.
Similar apps
Related categories

About Smartsheet
Use Smartsheet in Latenode to automate project tracking and data collection. Update sheets from any trigger, like form submissions or database changes. Automate reporting by sending data to other apps and skip manual updates. Low-code tools and JS nodes add custom logic for advanced workflow control.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery (REST) and Smartsheet
How can I connect my Google Cloud BigQuery (REST) account to Smartsheet using Latenode?
To connect your Google Cloud BigQuery (REST) account to Smartsheet 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 Smartsheet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation from BigQuery in Smartsheet?
Yes, with Latenode. Automatically populate Smartsheet with insights derived from BigQuery data. Latenode’s visual editor simplifies complex data workflows saving time and improving reporting accuracy.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Smartsheet?
Integrating Google Cloud BigQuery (REST) with Smartsheet allows you to perform various tasks, including:
- Automatically updating Smartsheet rows with processed BigQuery data.
- Triggering alerts in Smartsheet based on BigQuery data thresholds.
- Creating summary reports in Smartsheet from BigQuery query results.
- Synchronizing project data between BigQuery and Smartsheet.
- Analyzing Smartsheet data in BigQuery for advanced reporting.
How do I handle large datasets from BigQuery in Latenode workflows?
Latenode offers efficient data streaming and batch processing capabilities, leveraging serverless functions to handle large BigQuery datasets seamlessly.
Are there any limitations to the Google Cloud BigQuery (REST) and Smartsheet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Cloud BigQuery (REST) and Smartsheet APIs may affect performance.
- Complex data transformations might require JavaScript knowledge within Latenode.
- Initial setup may require familiarity with both Google Cloud BigQuery (REST) and Smartsheet APIs.