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

Google Cloud BigQuery (REST)
⚙

Gmail

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

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Gmail, 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 Gmail integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Gmail (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 Gmail
Google Cloud BigQuery (REST) + Gmail + Slack: This automation analyzes data in Google Cloud BigQuery, summarizes the key findings, emails a report summary via Gmail, and posts the key findings to a designated Slack channel for team awareness.
Gmail + Google Cloud BigQuery (REST) + Google Sheets: This automation archives email data from Gmail into Google Cloud BigQuery. The data is then used in Google Sheets for interactive analysis, allowing users to explore email trends and patterns.
Google Cloud BigQuery (REST) and Gmail 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 Gmail
Automate email tasks within Latenode. Send, receive, and manage Gmail messages as part of larger workflows. Automatically extract data from emails to update databases or trigger actions in other apps. Integrate Gmail with AI tools for content analysis or with CRMs to automate lead nurturing. Latenode's visual editor makes it easy to build scalable email automation without coding.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud BigQuery (REST) and Gmail
How can I connect my Google Cloud BigQuery (REST) account to Gmail using Latenode?
To connect your Google Cloud BigQuery (REST) account to Gmail 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 Gmail accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I get notified of BigQuery data anomalies via Gmail?
Yes, you can! Latenode lets you monitor BigQuery data and automatically send email alerts via Gmail, ensuring immediate awareness of critical changes with no code.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Gmail?
Integrating Google Cloud BigQuery (REST) with Gmail allows you to perform various tasks, including:
- Send daily data summaries from BigQuery to specified Gmail addresses.
- Alert users via Gmail when a specific threshold is met in BigQuery.
- Forward BigQuery query results as an attachment via Gmail.
- Create personalized email campaigns based on data from BigQuery.
- Automatically archive Gmail conversations based on BigQuery data analysis.
How do I handle large datasets from Google Cloud BigQuery (REST) on Latenode?
Latenode efficiently processes large datasets from BigQuery using optimized data streaming and transformations, enabling scalable automation without performance bottlenecks.
Are there any limitations to the Google Cloud BigQuery (REST) and Gmail 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 Gmail still apply.
- Complex data transformations may require custom JavaScript code.
- Initial setup requires familiarity with Google Cloud BigQuery (REST) API authentication.