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

Google Cloud BigQuery
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Insightly

Authenticate Insightly
Now, click the Insightly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Insightly settings. Authentication allows you to use Insightly through Latenode.
Configure the Google Cloud BigQuery and Insightly 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 Insightly 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
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AI Anthropic Claude 3
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Insightly
Trigger on Webhook
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Google Cloud BigQuery
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Insightly, 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 Insightly integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Insightly (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 Insightly
Google Cloud BigQuery + Insightly + Slack: When BigQuery identifies a potential high-value lead based on predefined criteria, a new lead is created in Insightly. The sales team is then alerted via a Slack channel about the new lead.
Insightly + Google Cloud BigQuery + Google Sheets: When a new opportunity is created in Insightly, the opportunity data is added to a table in BigQuery. A summary of opportunity performance is then generated in a Google Sheets report.
Google Cloud BigQuery and Insightly 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.
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About Insightly
Sync Insightly CRM with other apps inside Latenode to automate sales processes. Update records, trigger follow-ups, or create tasks based on new leads or deals. Latenode offers flexible logic, custom JavaScript, and direct data transfer between Insightly and other services, improving your sales workflow without code.
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See how Latenode works
FAQ Google Cloud BigQuery and Insightly
How can I connect my Google Cloud BigQuery account to Insightly using Latenode?
To connect your Google Cloud BigQuery account to Insightly 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 Insightly accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Insightly contacts from BigQuery data?
Yes, you can! Latenode lets you create automated workflows for seamless data synchronization. Keep Insightly contacts updated with the latest insights from Google Cloud BigQuery, improving data accuracy.
What types of tasks can I perform by integrating Google Cloud BigQuery with Insightly?
Integrating Google Cloud BigQuery with Insightly allows you to perform various tasks, including:
- Enriching Insightly leads with detailed customer behavior data from BigQuery.
- Triggering personalized email campaigns in Insightly based on BigQuery analysis.
- Creating custom reports in Insightly using aggregated data from BigQuery.
- Automating lead scoring in Insightly using predictive models built in BigQuery.
- Updating Insightly opportunities based on real-time sales data from BigQuery.
How secure is the Google Cloud BigQuery connection with Latenode?
Latenode utilizes secure authentication protocols and encryption methods to protect your Google Cloud BigQuery data during integration.
Are there any limitations to the Google Cloud BigQuery and Insightly integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require custom JavaScript code.
- Very large datasets in Google Cloud BigQuery may impact workflow execution time.
- Rate limits imposed by Google Cloud BigQuery and Insightly APIs still apply.