Google Cloud BigQuery and HubSpot Integration

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Sync HubSpot data to Google Cloud BigQuery for advanced analytics without code using Latenode's visual editor. Blend it with other sources and scale affordably, paying only for execution time.

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Google Cloud BigQuery

HubSpot

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and HubSpot

Create a New Scenario to Connect Google Cloud BigQuery and HubSpot

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 HubSpot will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or HubSpot, 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.

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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.

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Run node once

Add the HubSpot Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select HubSpot from the list of available apps, and choose the action you need from the list of nodes within HubSpot.

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Authenticate HubSpot

Now, click the HubSpot node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your HubSpot settings. Authentication allows you to use HubSpot through Latenode.

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Configure the Google Cloud BigQuery and HubSpot Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Google Cloud BigQuery and HubSpot 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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Save and Activate the Scenario

After configuring Google Cloud BigQuery, HubSpot, 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 HubSpot integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and HubSpot (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 HubSpot

HubSpot + Google Cloud BigQuery + Slack: When a contact is updated or created in HubSpot, the data is sent to BigQuery for analysis. If statistically significant engagement changes are detected, a notification is sent to a Slack channel to alert the marketing team.

HubSpot + Google Cloud BigQuery + Google Sheets: Data from HubSpot is sent to Google Cloud BigQuery for analysis. Summary reports based on this analysis are then exported to Google Sheets for easier sharing and review.

Google Cloud BigQuery and HubSpot 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.

About HubSpot

Sync HubSpot contacts, deals, and marketing data with other apps in Latenode for automated workflows. Update records, trigger email sequences based on behavior, or generate reports. Use Latenode’s visual editor and affordable pricing to build complex, scalable marketing automation without code or per-step fees. Connect to CRMs, databases, and analytics tools.

See how Latenode works

FAQ Google Cloud BigQuery and HubSpot

How can I connect my Google Cloud BigQuery account to HubSpot using Latenode?

To connect your Google Cloud BigQuery account to HubSpot 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 HubSpot accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I update HubSpot contacts with BigQuery data?

Yes, you can! Latenode allows you to seamlessly update HubSpot contacts with data analyzed in Google Cloud BigQuery, ensuring your CRM data is always accurate and insightful.

What types of tasks can I perform by integrating Google Cloud BigQuery with HubSpot?

Integrating Google Cloud BigQuery with HubSpot allows you to perform various tasks, including:

  • Automatically add new leads from BigQuery analysis to HubSpot.
  • Enrich existing HubSpot contact data with BigQuery insights.
  • Trigger HubSpot marketing campaigns based on BigQuery data changes.
  • Sync BigQuery customer segments with HubSpot contact lists.
  • Create custom reports combining data from both platforms.

What BigQuery data formats does Latenode support?

Latenode supports various data formats from Google Cloud BigQuery including JSON, CSV, and Parquet, giving you flexible options for your data workflows.

Are there any limitations to the Google Cloud BigQuery and HubSpot integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data transfers may take time depending on network speeds.
  • Custom JavaScript might be required for complex data transformations.
  • Rate limits of Google Cloud BigQuery and HubSpot APIs apply.

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