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

Google Cloud BigQuery (REST)
⚙
Scoro
Authenticate Scoro
Now, click the Scoro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Scoro settings. Authentication allows you to use Scoro through Latenode.
Configure the Google Cloud BigQuery (REST) and Scoro 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 Scoro 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
⚙
Scoro
Trigger on Webhook
⚙
Google Cloud BigQuery (REST)
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Scoro, 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 Scoro integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Scoro (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 Scoro
Google Cloud BigQuery (REST) + Scoro + Google Sheets: Analyze project data from BigQuery using a query job. Update project details in Scoro based on the analysis results, such as budget adjustments or deadline changes. Finally, visualize key performance indicators in Google Sheets to track project health and progress.
Scoro + Google Cloud BigQuery (REST) + Slack: Track new or updated projects in Scoro. Analyze the project performance data in BigQuery using a query job, identifying major achievements or potential issues. Send a Slack message to the team alerting them of milestones or areas needing attention.
Google Cloud BigQuery (REST) and Scoro 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 Scoro
Use Scoro in Latenode to automate project & client management tasks. Automatically sync data between Scoro and other tools, like accounting or marketing platforms. Create custom workflows to streamline sales, billing, or reporting, using Latenode’s visual editor and flexible API for deeper integration.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud BigQuery (REST) and Scoro
How can I connect my Google Cloud BigQuery (REST) account to Scoro using Latenode?
To connect your Google Cloud BigQuery (REST) account to Scoro 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 Scoro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze sales data from Scoro in BigQuery?
Yes, you can! Latenode automates data transfer, letting you use BigQuery's analytics tools on Scoro data for better insights & reporting, scalable to large datasets.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Scoro?
Integrating Google Cloud BigQuery (REST) with Scoro allows you to perform various tasks, including:
- Automatically backing up Scoro data to Google Cloud BigQuery for security.
- Creating custom reports combining data from both platforms.
- Triggering Scoro actions based on insights from BigQuery analysis.
- Synchronizing customer data between Scoro and BigQuery datasets.
- Performing advanced sales forecasting using BigQuery’s machine learning.
HowsecureistheGoogleCloudBigQuery(REST)connectioninLatenode?
Latenode uses secure authentication methods. Data is encrypted during transit and at rest, ensuring your Google Cloud BigQuery (REST) connection remains protected.
Are there any limitations to the Google Cloud BigQuery (REST) and Scoro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on dataset size.
- Complex BigQuery queries may require advanced knowledge of SQL.
- Rate limits on the Scoro API could affect the speed of data transfer.