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

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Authenticate Bouncer
Now, click the Bouncer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bouncer settings. Authentication allows you to use Bouncer through Latenode.
Configure the Google Cloud BigQuery and Bouncer 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 Bouncer 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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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Bouncer, 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 Bouncer integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Bouncer (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 Bouncer
Google Cloud BigQuery + Bouncer + Google Sheets: When a new row is added to a Google Sheet, its email address column is extracted, validated by Bouncer, and the verification status is written back to the Google Sheet.
Google Cloud BigQuery + Bouncer + Slack: When a new row is added to a Google Sheet, its email address column is extracted, validated by Bouncer. If Bouncer detects a high risk of invalid emails, a Slack message is sent to a designated channel.
Google Cloud BigQuery and Bouncer 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 Bouncer
Use Bouncer in Latenode to verify email deliverability inside your marketing automation. Connect it to lead sources, CRMs, or signup forms. Stop sending emails to invalid addresses and improve sender reputation directly from your Latenode workflows. Add custom logic via JavaScript for advanced filtering.
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See how Latenode works
FAQ Google Cloud BigQuery and Bouncer
How can I connect my Google Cloud BigQuery account to Bouncer using Latenode?
To connect your Google Cloud BigQuery account to Bouncer 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 Bouncer accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate data validation using Google Cloud BigQuery and Bouncer?
Yes, you can! Latenode enables automated data validation workflows, using BigQuery data to trigger Bouncer verification requests, improving data quality and email deliverability.
What types of tasks can I perform by integrating Google Cloud BigQuery with Bouncer?
Integrating Google Cloud BigQuery with Bouncer allows you to perform various tasks, including:
- Automatically verifying email addresses stored in BigQuery datasets.
- Triggering email verification upon new data entry into BigQuery.
- Updating BigQuery tables with Bouncer verification results.
- Creating reports on email deliverability directly from BigQuery.
- Segmenting email lists based on Bouncer's verification status.
How do I schedule regular BigQuery data exports into Bouncer with Latenode?
Latenode's scheduler enables automated, timed data exports from BigQuery. Seamlessly send data to Bouncer for ongoing email verification and list hygiene.
Are there any limitations to the Google Cloud BigQuery and Bouncer integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from BigQuery may incur Google Cloud costs.
- Bouncer's API rate limits apply to high-volume verification requests.
- Complex BigQuery queries may require JavaScript knowledge in Latenode.