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

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Authenticate Instantly
Now, click the Instantly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Instantly settings. Authentication allows you to use Instantly through Latenode.
Configure the Google Cloud BigQuery and Instantly 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 Instantly 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, Instantly, 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 Instantly integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Instantly (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 Instantly
Google Cloud BigQuery + Instantly + Google Sheets: Analyze email campaign performance data from BigQuery. Based on insights, update lead information in Instantly, and log changes, including lead updates, in a Google Sheet.
Instantly + Google Cloud BigQuery + Slack: When a new lead is created in Instantly, track it in BigQuery and send a notification to a designated Slack channel for team awareness and immediate action.
Google Cloud BigQuery and Instantly 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 Instantly
Use Instantly in Latenode to automate email outreach at scale. Connect Instantly to your CRM, database, or lead sources and build automated sequences based on triggers. Enrich data and route responses using Latenode's visual editor and JS node for custom logic — all without per-step pricing limits.
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See how Latenode works
FAQ Google Cloud BigQuery and Instantly
How can I connect my Google Cloud BigQuery account to Instantly using Latenode?
To connect your Google Cloud BigQuery account to Instantly 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 Instantly accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Instantly campaign data using Google Cloud BigQuery?
Yes, you can! Latenode lets you seamlessly transfer Instantly data to Google Cloud BigQuery for in-depth analysis. Gain valuable insights and optimize campaigns effectively.
What types of tasks can I perform by integrating Google Cloud BigQuery with Instantly?
Integrating Google Cloud BigQuery with Instantly allows you to perform various tasks, including:
- Automating data backups from Instantly to Google Cloud BigQuery.
- Creating personalized marketing reports.
- Analyzing campaign performance across multiple Instantly accounts.
- Triggering Instantly actions based on BigQuery data analysis.
- Consolidating marketing data in a central BigQuery data warehouse.
How secureisdata transferbetweenGoogleCloudBigQueryandInstantly?
Latenodeemploysrobustsecurity measures. Dataistransferredsecurelyusingencryptedconnections,ensuringyourdata'sconfidentialityandintegrityduringintegration.
Are there any limitations to the Google Cloud BigQuery and Instantly integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time for large datasets.
- Complex queries in Google Cloud BigQuery may require advanced knowledge.
- Real-time data transfer depends on the API limits of both platforms.