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

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Lexoffice, 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 Lexoffice integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Lexoffice (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 Lexoffice
Lexoffice + Google Sheets + Slack: When a new invoice is created in Lexoffice, its details are added to a Google Sheet. A notification is then sent to a Slack channel informing the finance team of the new entry.
Lexoffice + Google Sheets + Google Sheets: Automatically retrieve invoice data from Lexoffice, add it to a BigQuery table via Google Sheets, and update a summary report in another Google Sheet.
Google Cloud BigQuery and Lexoffice 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 Lexoffice
Automate accounting tasks by connecting Lexoffice to Latenode. Automatically create invoices, track expenses, or update customer data based on triggers from other apps. Latenode lets you build custom workflows around Lexoffice without code, adding features like advanced data validation or conditional logic that Lexoffice lacks natively.
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See how Latenode works
FAQ Google Cloud BigQuery and Lexoffice
How can I connect my Google Cloud BigQuery account to Lexoffice using Latenode?
To connect your Google Cloud BigQuery account to Lexoffice 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 Lexoffice accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze accounting data from Lexoffice in BigQuery?
Yes, you can! Latenode allows you to automatically export Lexoffice data to Google Cloud BigQuery for in-depth analysis. Leverage Latenode's visual editor to build custom data pipelines without code.
What types of tasks can I perform by integrating Google Cloud BigQuery with Lexoffice?
Integrating Google Cloud BigQuery with Lexoffice allows you to perform various tasks, including:
- Automate the transfer of financial data to a BigQuery data warehouse.
- Create custom reports combining sales data with accounting insights.
- Trigger Lexoffice actions based on BigQuery data analysis results.
- Synchronize customer data between Google Cloud BigQuery and Lexoffice.
- Build dashboards that visualize key financial metrics from both platforms.
How secure is the Google Cloud BigQuery integration on Latenode?
Latenode uses secure authentication protocols and encryption to protect your Google Cloud BigQuery and Lexoffice data during integration and workflow execution.
Are there any limitations to the Google Cloud BigQuery and Lexoffice integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on dataset size.
- Complex data transformations may require JavaScript or AI-powered steps.
- Rate limits from Google Cloud BigQuery and Lexoffice apply.