How to connect Microsoft OneDrive and Moxie
Create a New Scenario to Connect Microsoft OneDrive and Moxie
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft OneDrive, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft OneDrive or Moxie will be your first step. To do this, click "Choose an app," find Microsoft OneDrive or Moxie, and select the appropriate trigger to start the scenario.

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

Microsoft OneDrive
Configure the Microsoft OneDrive
Click on the Microsoft OneDrive node to configure it. You can modify the Microsoft OneDrive 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 OneDrive node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.

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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 OneDrive 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 OneDrive 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 donβt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft OneDrive, Moxie, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Microsoft OneDrive and Moxie integration works as expected. Depending on your setup, data should flow between Microsoft OneDrive 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 OneDrive and Moxie
Microsoft OneDrive + Moxie + Slack: When a new file is uploaded to a specific folder in OneDrive, it's automatically shared within a designated Moxie project. A notification is then sent to a Slack channel to inform the team about the new file and its location in Moxie.
Moxie + Microsoft OneDrive + Google Sheets: Upon creation of a new project in Moxie, a dedicated folder is created in OneDrive to store project-related files. Simultaneously, a new row is added to a Google Sheets spreadsheet, logging essential details about the new project, including the OneDrive folder link.
Microsoft OneDrive and Moxie integration alternatives
About Microsoft OneDrive
Automate file management by connecting OneDrive to Latenode. Automatically back up data, trigger workflows on file changes, or distribute documents across apps. Use Latenode's visual editor to integrate OneDrive with CRMs, databases, or marketing tools. Simplify data handling without complex coding.
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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.
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See how Latenode works
FAQ Microsoft OneDrive and Moxie
How can I connect my Microsoft OneDrive account to Moxie using Latenode?
To connect your Microsoft OneDrive account to Moxie on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft OneDrive and click on "Connect".
- Authenticate your Microsoft OneDrive and Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up Moxie chat transcripts to OneDrive?
Yes, you can! Latenode enables automated backups using its visual editor and advanced logic, ensuring your important Moxie data is securely stored in Microsoft OneDrive.
What types of tasks can I perform by integrating Microsoft OneDrive with Moxie?
Integrating Microsoft OneDrive with Moxie allows you to perform various tasks, including:
- Automatically saving new Moxie reports to a OneDrive folder.
- Sharing OneDrive files directly within Moxie chat conversations.
- Triggering Moxie alerts when specific files are updated in OneDrive.
- Creating OneDrive backups of Moxie customer interaction data.
- Using AI to analyze OneDrive files and update Moxie customer profiles.
Can I trigger a workflow in Moxie when a new file is added to OneDrive?
Yes! Latenode's real-time triggers allow you to initiate workflows in Moxie instantly when files are added to Microsoft OneDrive.
Are there any limitations to the Microsoft OneDrive and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers may experience delays depending on API rate limits.
- Real-time triggers are subject to the polling intervals of both apps.
- Complex data transformations might require custom JavaScript code.