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

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

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

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Authenticate Notion
Now, click the Notion node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Notion settings. Authentication allows you to use Notion through Latenode.
Configure the Google Cloud BigQuery and Notion 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 and Notion 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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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Notion, 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 and Notion integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Notion (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 and Notion
Google Sheets + Notion + Slack: When a new row is added to a Google Sheet, a new page is created in Notion. Then, a Slack message is sent to a specified channel to notify the team about the new Notion page.
Notion + Google Sheets + Slack: When a page is updated in a Notion database, its content is retrieved and added as a new row in a Google Sheet. Then, a Slack message is sent to a channel to alert the team of the update.
Google Cloud BigQuery and Notion integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Notion
Sync Notion databases with other apps via Latenode. Update records automatically based on triggers from your CRM, calendar, or payment systems. Create custom workflows to manage content, tasks, and project data. Automate updates across multiple platforms for streamlined processes and consistent information.
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See how Latenode works
FAQ Google Cloud BigQuery and Notion
How can I connect my Google Cloud BigQuery account to Notion using Latenode?
To connect your Google Cloud BigQuery account to Notion on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Notion accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation in Notion based on BigQuery data?
Yes, you can! Latenode enables automated report creation. Schedule updates or trigger them with events, then use AI to summarize key insights directly within Notion.
What types of tasks can I perform by integrating Google Cloud BigQuery with Notion?
Integrating Google Cloud BigQuery with Notion allows you to perform various tasks, including:
- Automatically update Notion databases with new BigQuery data.
- Generate daily or weekly reports in Notion using BigQuery data.
- Create project dashboards in Notion populated from BigQuery queries.
- Visualize BigQuery data trends directly within Notion pages.
- Trigger notifications in Notion based on BigQuery data thresholds.
How secure is my BigQuery data when integrated with Notion in Latenode?
Latenode uses secure authentication and encryption to protect your data during transfer and processing, ensuring data integrity.
Are there any limitations to the Google Cloud BigQuery and Notion integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript knowledge.
- Very large datasets in BigQuery can impact workflow execution speed.
- Notion API rate limits can affect the frequency of data updates.