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

Google Cloud BigQuery
âš™
Apollo
Authenticate Apollo
Now, click the Apollo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Apollo settings. Authentication allows you to use Apollo through Latenode.
Configure the Google Cloud BigQuery and Apollo 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 Apollo 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
âš™
AI Anthropic Claude 3
âš™
Apollo
Trigger on Webhook
âš™
Google Cloud BigQuery
âš™
âš™
Iterator
âš™
Webhook response
Save and Activate the Scenario
After configuring Google Cloud BigQuery, Apollo, 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 Apollo integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Apollo (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 Apollo
Apollo + Slack: Monitors new or updated contacts in Apollo and sends a notification to a designated Slack channel to inform the sales team about significant changes.
Apollo + Google Sheets: Tracks Apollo API performance by fetching contact search data, storing it in a Google Sheet for trend visualization and analysis.
Google Cloud BigQuery and Apollo 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.
Similar apps
Related categories
About Apollo
Need precise location data? Integrate Apollo into Latenode workflows to automatically geocode addresses or enrich customer profiles with location insights. Automate data validation and routing based on geographic parameters. Use Latenode's visual editor to build scalable location-aware processes without complex coding.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Apollo
How can I connect my Google Cloud BigQuery account to Apollo using Latenode?
To connect your Google Cloud BigQuery account to Apollo 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 Apollo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich Apollo contacts with BigQuery data?
Yes, you can! Latenode’s visual builder makes it easy to query BigQuery, then update Apollo contacts, ensuring your sales team has the most complete lead information, no coding needed.
What types of tasks can I perform by integrating Google Cloud BigQuery with Apollo?
Integrating Google Cloud BigQuery with Apollo allows you to perform various tasks, including:
- Automatically updating Apollo contact details with BigQuery customer data.
- Triggering Apollo outreach sequences based on BigQuery data analysis.
- Syncing marketing campaign performance from Apollo to Google Cloud BigQuery for reporting.
- Creating Apollo tasks based on specific events logged in BigQuery.
- Generating personalized Apollo messages using insights from BigQuery.
What Google Cloud BigQuery data transformations are possible in Latenode?
Latenode supports JavaScript code blocks for any transformation—filtering, aggregation, custom calculations—before sending data to Apollo.
Are there any limitations to the Google Cloud BigQuery and Apollo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the data volume.
- Complex BigQuery queries might require optimization for best performance.
- API rate limits for Apollo and Google Cloud BigQuery apply.