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

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Authenticate LeadMagic
Now, click the LeadMagic node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LeadMagic settings. Authentication allows you to use LeadMagic through Latenode.
Configure the Google Cloud BigQuery and LeadMagic 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 LeadMagic 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, LeadMagic, 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 LeadMagic integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and LeadMagic (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 LeadMagic
Google Sheets + LeadMagic + Google Sheets: When a new row is added to Google Sheets, LeadMagic enriches the lead data using the Profile Search action. The enriched data is then added as a new row in a different Google Sheet for reporting purposes.
LeadMagic + Google Cloud BigQuery + Slack: When LeadMagic finds a new profile through Profile Search, the data is stored in Google Cloud BigQuery, and a notification is sent to the sales team via Slack to alert them of the new high-value lead.
Google Cloud BigQuery and LeadMagic 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 LeadMagic
Use LeadMagic inside Latenode to automate lead generation and outreach. Qualify leads, enrich data, and trigger personalized follow-ups based on behavior. Latenode’s visual editor makes it easy to build complex workflows, scale your outreach, and connect to other tools without code.
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See how Latenode works
FAQ Google Cloud BigQuery and LeadMagic
How can I connect my Google Cloud BigQuery account to LeadMagic using Latenode?
To connect your Google Cloud BigQuery account to LeadMagic 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 LeadMagic accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically enrich LeadMagic leads with BigQuery data?
Yes, you can! Latenode allows you to seamlessly transfer and transform data between Google Cloud BigQuery and LeadMagic, automatically enriching leads with valuable insights. Scale lead enrichment using server-side JavaScript.
What types of tasks can I perform by integrating Google Cloud BigQuery with LeadMagic?
Integrating Google Cloud BigQuery with LeadMagic allows you to perform various tasks, including:
- Sync new LeadMagic leads as rows in a BigQuery dataset for analysis.
- Update LeadMagic lead scores based on BigQuery data analysis results.
- Trigger targeted email campaigns from LeadMagic based on BigQuery insights.
- Create custom dashboards in BigQuery using LeadMagic lead information.
- Analyze lead conversion rates across multiple LeadMagic campaigns in BigQuery.
How secure is my Google Cloud BigQuery data when using Latenode?
Latenode uses secure authentication and encryption protocols to protect your Google Cloud BigQuery data. You control access permissions for each workflow.
Are there any limitations to the Google Cloud BigQuery and LeadMagic 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 data transformations may require JavaScript knowledge.
- API rate limits of Google Cloud BigQuery and LeadMagic still apply.