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Enrich Instantly lead data by pushing it to Google Cloud BigQuery for advanced analysis. Latenode's visual editor simplifies complex data pipelines, while affordable execution-based pricing keeps costs low as you scale.
Connect Instantly and Google Cloud BigQuery in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Instantly, triggered by another scenario, or executed manually (for testing purposes). In most cases, Instantly or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Instantly or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

Select the Instantly node from the app selection panel on the right.

Instantly
Click on the Instantly node to configure it. You can modify the Instantly URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Instantly node, select Google Cloud BigQuery from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery.

Instantly
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Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
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
Trigger on Webhook
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Instantly
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Iterator
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Webhook response
After configuring Instantly, Google Cloud BigQuery, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Instantly and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Instantly and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Instantly + Google Cloud BigQuery + Slack: When a new lead is created in Instantly, add the lead to a BigQuery dataset. Then, send a notification about the new lead to a specified Slack channel.
Google Cloud BigQuery + Instantly + Google Sheets: When new data is available in Google Cloud BigQuery, find and update the leads in Instantly and update Google Sheets with the latest lead data.
About Instantly
Use Instantly in Latenode to automate email outreach at scale. Connect Instantly to your CRM, database, or lead sources and build automated sequences based on triggers. Enrich data and route responses using Latenode's visual editor and JS node for custom logic — all without per-step pricing limits.
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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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How can I connect my Instantly account to Google Cloud BigQuery using Latenode?
To connect your Instantly account to Google Cloud BigQuery on Latenode, follow these steps:
Can I analyze Instantly data in BigQuery?
Yes, you can easily analyze Instantly data in Google Cloud BigQuery using Latenode. This allows for advanced reporting and custom data analysis, without coding, to optimize campaign performance.
What types of tasks can I perform by integrating Instantly with Google Cloud BigQuery?
Integrating Instantly with Google Cloud BigQuery allows you to perform various tasks, including:
How does Latenode handle Instantly's rate limits when writing to BigQuery?
Latenode's advanced queueing and error handling ensure reliable data transfer within Instantly's rate limits, preventing data loss.
Are there any limitations to the Instantly and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: