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

Add the Microsoft Excel Node
Select the Microsoft Excel node from the app selection panel on the right.


Microsoft Excel

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


Microsoft Excel
âš™
Moxie

Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the Microsoft Excel and Moxie 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 Microsoft Excel and Moxie 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™
Moxie
Trigger on Webhook
âš™

Microsoft Excel
âš™
âš™
Iterator
âš™
Webhook response

Save and Activate the Scenario
After configuring Microsoft Excel, Moxie, 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 Microsoft Excel and Moxie integration works as expected. Depending on your setup, data should flow between Microsoft Excel and Moxie (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft Excel and Moxie
Moxie + Microsoft Excel + Slack: When a new form submission is created in Moxie, the data is added as a new row in a Microsoft Excel table. If the survey response contains negative feedback (determined by some criteria), a message is sent to a designated Slack channel.
Moxie + Microsoft Excel + Google Sheets: When a new form submission is created in Moxie, the data is added as a new row in a Microsoft Excel table. Subsequently, this new row is copied to a Google Sheets spreadsheet where summary charts can be created.
Microsoft Excel and Moxie integration alternatives

About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
Similar apps
Related categories
About Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
Similar apps
Related categories
See how Latenode works
FAQ Microsoft Excel and Moxie
How can I connect my Microsoft Excel account to Moxie using Latenode?
To connect your Microsoft Excel account to Moxie on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Moxie with Excel data?
Yes, with Latenode you can! Automatically update Moxie based on Excel changes. Benefit from real-time sync and efficient data management—no manual updates needed thanks to Latenode’s automation.
What types of tasks can I perform by integrating Microsoft Excel with Moxie?
Integrating Microsoft Excel with Moxie allows you to perform various tasks, including:
- Automatically creating new Moxie cases from Excel spreadsheet data.
- Updating customer contact information in Moxie based on Excel entries.
- Generating reports in Excel using data collected from Moxie interactions.
- Triggering Moxie alerts based on specific thresholds met in Excel data.
- Synchronizing product inventory levels between Excel and Moxie.
How does Latenode handle large Microsoft Excel files efficiently?
Latenode uses streaming and optimized data processing to handle large files without performance issues. Utilize our serverless infrastructure for seamless scalability.
Are there any limitations to the Microsoft Excel and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Excel files might require optimized workflows for faster processing.
- Real-time data synchronization depends on the API rate limits of both services.
- Complex data transformations might require JavaScript knowledge.