How to connect Google Cloud BigQuery (REST) and Contacts+
Create a New Scenario to Connect Google Cloud BigQuery (REST) 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 (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Contacts+ will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Contacts+, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

Google Cloud BigQuery (REST)
Configure the Google Cloud BigQuery (REST)
Click on the Google Cloud BigQuery (REST) node to configure it. You can modify the Google Cloud BigQuery (REST) 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 (REST) node, select Contacts+ from the list of available apps, and choose the action you need from the list of nodes within Contacts+.

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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 (REST) 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 (REST) 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.

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AI Anthropic Claude 3
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Contacts+
Trigger on Webhook
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Google Cloud BigQuery (REST)
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), 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 (REST) and Contacts+ integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) 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 (REST) and Contacts+
Google Cloud BigQuery (REST) + Contacts+ + Google Sheets: Analyze customer contact data stored in BigQuery, update corresponding contact details in Contacts+, and log these updates, including timestamps, in a Google Sheet for auditing and tracking purposes.
Contacts+ + Google Cloud BigQuery (REST) + Slack: When a new contact is created in Contacts+, the contact's information is logged as a new row in a BigQuery table. A summary notification about the new contact, including key details, is then sent to a designated Slack channel for team awareness.
Google Cloud BigQuery (REST) and Contacts+ integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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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.
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FAQ Google Cloud BigQuery (REST) and Contacts+
How can I connect my Google Cloud BigQuery (REST) account to Contacts+ using Latenode?
To connect your Google Cloud BigQuery (REST) account to Contacts+ on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Contacts+ accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich contact data with BigQuery analysis?
Yes, you can! Latenode allows enriching Contacts+ data with insights from Google Cloud BigQuery (REST) using flexible workflows and JavaScript steps, improving contact segmentation.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Contacts+?
Integrating Google Cloud BigQuery (REST) with Contacts+ allows you to perform various tasks, including:
- Automatically update Contacts+ with new leads identified in BigQuery.
- Trigger personalized email campaigns based on BigQuery customer segmentation.
- Synchronize contact information between BigQuery datasets and Contacts+.
- Create reports in BigQuery based on activity tracked in Contacts+.
- Analyze contact engagement metrics stored in BigQuery and update profiles.
How does Latenode handle BigQuery data transformations?
Latenode offers no-code blocks and JavaScript for data transformation, ensuring compatibility between Google Cloud BigQuery (REST) and Contacts+.
Are there any limitations to the Google Cloud BigQuery (REST) and Contacts+ integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from BigQuery may impact workflow execution time.
- Complex data transformations may require advanced JavaScript knowledge.
- Rate limits of the Google Cloud BigQuery (REST) and Contacts+ APIs apply.