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

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Authenticate Realgeeks
Now, click the Realgeeks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Realgeeks settings. Authentication allows you to use Realgeeks through Latenode.
Configure the Google Cloud BigQuery and Realgeeks 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 Realgeeks 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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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Realgeeks, 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 Realgeeks integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Realgeeks (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 Realgeeks
Realgeeks + Google Sheets: When a new lead is created in Realgeeks, add a new row with the lead's information to a Google Sheet for analysis and reporting.
Realgeeks + Google Cloud BigQuery + Slack: Triggered by a new lead in Realgeeks, this flow identifies the lead's source, and then sends a notification in Slack, indicating a new lead from a specific source.
Google Cloud BigQuery and Realgeeks 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 Realgeeks
Automate real estate lead management with Realgeeks in Latenode. Update your CRM, trigger follow-up emails, or send SMS alerts automatically when new leads are captured. Latenode’s visual editor and flexible nodes let you filter, enrich, and route lead data based on custom criteria, creating scalable workflows without complex coding.
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See how Latenode works
FAQ Google Cloud BigQuery and Realgeeks
How can I connect my Google Cloud BigQuery account to Realgeeks using Latenode?
To connect your Google Cloud BigQuery account to Realgeeks 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 Realgeeks accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Realgeeks lead data in BigQuery?
Yes, easily. Latenode automates data transfer, letting you leverage BigQuery's analytics on Realgeeks leads for deeper insights, improved targeting, and better lead scoring.
What types of tasks can I perform by integrating Google Cloud BigQuery with Realgeeks?
Integrating Google Cloud BigQuery with Realgeeks allows you to perform various tasks, including:
- Sync Realgeeks lead data to BigQuery for advanced analysis.
- Enrich Realgeeks data with external datasets stored in BigQuery.
- Automate custom reporting on Realgeeks performance using BigQuery.
- Trigger Realgeeks actions based on BigQuery data insights.
- Create dashboards visualizing Realgeeks metrics using BigQuery data.
Can Latenode handle large datasets from Google Cloud BigQuery?
Yes, Latenode efficiently processes large datasets from Google Cloud BigQuery, enabling scalable automation without performance bottlenecks or manual intervention.
Are there any limitations to the Google Cloud BigQuery and Realgeeks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization might take time for very large datasets.
- Complex queries in Google Cloud BigQuery may require optimization.
- Realgeeks API rate limits may affect high-volume data updates.