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

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Softr, 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 Softr integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Softr (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 Softr
Google Cloud BigQuery (REST) + Softr + Slack: Analyze data in BigQuery using a scheduled query. The results are then used to update a Softr dashboard. If significant changes are detected based on the query results, a Slack message is sent to notify the team.
Softr + Google Cloud BigQuery (REST) + Airtable: Capture user data via Softr. This data triggers analysis in BigQuery using a query job. The results of this analysis are then used to update records in Airtable.
Google Cloud BigQuery (REST) and Softr 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 Softr
Use Softr in Latenode to build custom web apps and client portals, then automate data flow between them and your backend. Update Softr content via Latenode workflows triggered by external events or scheduled tasks. Simplify app deployment and maintenance; connect it to other services for a seamless user experience.
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FAQ Google Cloud BigQuery (REST) and Softr
How can I connect my Google Cloud BigQuery (REST) account to Softr using Latenode?
To connect your Google Cloud BigQuery (REST) account to Softr 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 Softr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Softr records from BigQuery data?
Yes, you can. Latenode’s visual editor makes mapping BigQuery data to Softr simple, ensuring your Softr app always reflects the latest insights, updated automatically.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Softr?
Integrating Google Cloud BigQuery (REST) with Softr allows you to perform various tasks, including:
- Automatically updating Softr user profiles with data from BigQuery.
- Creating Softr dashboards based on real-time BigQuery analytics.
- Triggering Softr actions based on BigQuery data thresholds.
- Synchronizing customer data between BigQuery and Softr.
- Generating personalized reports in Softr using BigQuery data.
Can I use custom SQL queries with BigQuery inside Latenode?
Yes! Latenode allows you to execute custom SQL queries, offering flexibility and control over your data extraction from BigQuery.
Are there any limitations to the Google Cloud BigQuery (REST) and Softr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Rate limits of both Google Cloud BigQuery (REST) and Softr apply.
- Initial setup requires a basic understanding of both platforms.