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Enrich Ocean.io prospect data by loading it into Google Cloud BigQuery (REST). Latenode’s visual editor makes data transformations simple with no-code blocks, plus custom JS for advanced logic. Pay only for execution time.
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Create a New Scenario to Connect Ocean.io and Google Cloud BigQuery (REST)
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 Ocean.io, triggered by another scenario, or executed manually (for testing purposes). In most cases, Ocean.io or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Ocean.io or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Ocean.io Node
Select the Ocean.io node from the app selection panel on the right.
Ocean.io
Configure the Ocean.io
Click on the Ocean.io node to configure it. You can modify the Ocean.io URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Ocean.io node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
Ocean.io
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Ocean.io and Google Cloud BigQuery (REST) 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 Ocean.io and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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Ocean.io
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Ocean.io, Google Cloud BigQuery (REST), 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 Ocean.io and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Ocean.io and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Ocean.io + Google Cloud BigQuery (REST) + Slack: When a new lead is identified in Ocean.io using a search, its data is logged into a BigQuery table. Subsequently, a notification is sent via Slack to the sales team, alerting them to the new lead and prompting immediate follow-up.
Google Cloud BigQuery (REST) + Ocean.io + Google Sheets: Analyze lead data stored in BigQuery. The analyzed data is then used to enrich lead profiles in Ocean.io. Finally, a summary of the enriched lead data is written to a Google Sheet for easy reporting and analysis.
About Ocean.io
Use Ocean.io in Latenode to enrich lead data and target outreach. Identify ideal customer profiles automatically and pass qualified leads into your CRM or sales sequences. Latenode lets you add custom logic, filter leads, and trigger actions based on Ocean.io insights, creating scalable lead gen workflows without code.
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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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How can I connect my Ocean.io account to Google Cloud BigQuery (REST) using Latenode?
To connect your Ocean.io account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze lead data in BigQuery using Ocean.io and Google Cloud BigQuery (REST)?
Yes, with Latenode! Automate data transfers to BigQuery for in-depth analysis. Centralize and analyze Ocean.io lead data alongside other sources for informed business decisions.
What types of tasks can I perform by integrating Ocean.io with Google Cloud BigQuery (REST)?
Integrating Ocean.io with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
How do I handle Ocean.io's API rate limits within Latenode workflows?
Latenode provides advanced error handling and queueing to manage Ocean.io's API limits. Ensure smooth data flow even with high data volumes using built-in controls.
Are there any limitations to the Ocean.io and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: