How to connect Instantly and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Instantly and Google Cloud BigQuery (REST)
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ 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 (REST) will be your first step. To do this, click "Choose an app," find Instantly or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.

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

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Configure the 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.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Instantly 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).

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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 Instantly 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 Instantly and Google Cloud BigQuery (REST) 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 donโt 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 Instantly, Google Cloud BigQuery (REST), and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Instantly and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Instantly and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Instantly and Google Cloud BigQuery (REST)
Instantly + Google Cloud BigQuery (REST) + Slack: When a new lead is created in Instantly, their data is inserted as a new row in a BigQuery table. Then, a message is sent to a dedicated Slack channel with a summary of the new lead's information.
Instantly + Google Sheets + Slack: When a new lead is created in Instantly, its data is added as a new row in a Google Sheet. A message is then sent to a Slack channel notifying the team of the new lead and providing a link to the Google Sheet.
Instantly and Google Cloud BigQuery (REST) integration alternatives
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 โ all without per-step pricing limits.
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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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See how Latenode works
FAQ Instantly and Google Cloud BigQuery (REST)
How can I connect my Instantly account to Google Cloud BigQuery (REST) using Latenode?
To connect your Instantly account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Instantly and click on "Connect".
- Authenticate your Instantly and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Instantly campaign performance data in BigQuery?
Yes, you can! Latenode allows you to seamlessly transfer Instantly data into Google Cloud BigQuery (REST) for in-depth analysis, unlocking powerful insights to optimize your campaigns using custom queries and dashboards.
What types of tasks can I perform by integrating Instantly with Google Cloud BigQuery (REST)?
Integrating Instantly with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Automatically backing up Instantly campaign data to Google Cloud BigQuery (REST).
- Analyzing email deliverability rates from Instantly within Google Cloud BigQuery (REST).
- Tracking lead generation performance across multiple Instantly campaigns.
- Creating custom reports on Instantly email engagement using BigQuery SQL.
- Combining Instantly data with other business data in Google Cloud BigQuery (REST).
HowdoIhandlelargeInstantlydatasetswhenintegratingwithGoogleCloudBigQuery(REST)?
Latenode's efficient data handling and batch processing ensure smooth transfer and analysis, even with large Instantly datasets, scaling seamlessly as your needs grow.
Are there any limitations to the Instantly and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data transfer may take time depending on the volume of Instantly data.
- Complex data transformations might require JavaScript coding in Latenode.
- Google Cloud BigQuery (REST) costs are separate and depend on usage volume.