How to connect Google Cloud BigQuery (REST) and Intercom
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Intercom
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 (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Intercom will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Intercom, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

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

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Intercom, 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 (REST) and Intercom integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Intercom (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 (REST) and Intercom
Intercom + Google Cloud BigQuery (REST) + Slack: When a new conversation is started in Intercom, analyze the conversation data in Google Cloud BigQuery. If key insights are found based on the query results, send a summary of those insights to a Slack channel.
Intercom + Google Cloud BigQuery (REST) + Zendesk: When a new Intercom conversation is created, analyze the conversation's content using Google Cloud BigQuery to identify relevant knowledge base articles. Add a comment to the Zendesk ticket referencing the relevant articles.
Google Cloud BigQuery (REST) and Intercom integration alternatives
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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About Intercom
Integrate Intercom with Latenode to automate customer support and engagement. Trigger workflows based on Intercom events to update CRMs, send personalized emails, or escalate issues. Latenode’s visual editor and flexible logic let you build custom support automation that adapts to your business needs, without complex coding or per-step fees.
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FAQ Google Cloud BigQuery (REST) and Intercom
How can I connect my Google Cloud BigQuery (REST) account to Intercom using Latenode?
To connect your Google Cloud BigQuery (REST) account to Intercom on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Intercom accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze support tickets within BigQuery?
Yes, you can! Latenode allows you to automatically sync Intercom conversation data into Google Cloud BigQuery (REST) for advanced analysis and reporting. Gain deeper insights into customer support trends.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Intercom?
Integrating Google Cloud BigQuery (REST) with Intercom allows you to perform various tasks, including:
- Enrich Intercom user profiles with data from BigQuery.
- Trigger Intercom messages based on BigQuery data analysis.
- Automatically update BigQuery tables with new Intercom data.
- Create custom reports combining data from both platforms.
- Analyze support ticket sentiment using BigQuery's AI features.
Can I use JavaScript to transform data between the two?
Yes. Latenode provides JavaScript blocks to transform data between Google Cloud BigQuery (REST) and Intercom, offering unmatched data manipulation flexibility.
Are there any limitations to the Google Cloud BigQuery (REST) and Intercom integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript knowledge.
- Initial data synchronization can take time depending on dataset size.
- API rate limits of both Google Cloud BigQuery (REST) and Intercom apply.