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

Google Cloud BigQuery
⚙

Contacts+

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

Contacts+
Trigger on Webhook
⚙
Google Cloud BigQuery
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Contacts+, 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 Contacts+ integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Contacts+ (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 Contacts+
Contacts+ + Google Cloud BigQuery + Slack: When a contact is updated in Contacts+, their information is sent to Google Cloud BigQuery for analysis. Then, a summary of the updated contact is sent to a Slack channel.
Contacts+ + Google Cloud BigQuery + Google Sheets: When a new contact is created in Contacts+, the contact's details are analyzed and trends are stored in Google Cloud BigQuery. Insights from BigQuery are then logged into a Google Sheet for report generation.
Google Cloud BigQuery and Contacts+ 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.
Similar apps
Related categories

About Contacts+
Use Contacts+ in Latenode to centralize contact data across platforms. Automate cleaning, deduplication, and enrichment processes. Sync updated contact details to your CRM or marketing tools. Latenode lets you build flexible flows and custom logic to manage contacts more efficiently and without manual data entry.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Contacts+
How can I connect my Google Cloud BigQuery account to Contacts+ using Latenode?
To connect your Google Cloud BigQuery account to Contacts+ 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 Contacts+ accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich contact data using BigQuery analysis?
Yes, you can! Latenode allows you to seamlessly enrich Contacts+ data with insights from Google Cloud BigQuery for better segmentation and personalized outreach.
What types of tasks can I perform by integrating Google Cloud BigQuery with Contacts+?
Integrating Google Cloud BigQuery with Contacts+ allows you to perform various tasks, including:
- Automatically update contact details based on BigQuery data analysis.
- Segment contact lists based on data derived from BigQuery queries.
- Trigger personalized email campaigns based on BigQuery insights.
- Create custom reports combining data from both platforms.
- Synchronize contact data for unified reporting across systems.
Can I use custom SQL queries with BigQuery in Latenode?
Yes! Latenode supports custom SQL queries for flexible and powerful data manipulation within your BigQuery workflows.
Are there any limitations to the Google Cloud BigQuery and Contacts+ integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets may experience processing delays.
- Complex SQL queries require a solid understanding of BigQuery.
- Rate limits of both Google Cloud BigQuery and Contacts+ apply.