How to connect Microsoft OneDrive and Gender API
Create a New Scenario to Connect Microsoft OneDrive and Gender API
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 OneDrive, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft OneDrive or Gender API will be your first step. To do this, click "Choose an app," find Microsoft OneDrive or Gender API, 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 Gender API Node
Next, click the plus (+) icon on the Microsoft OneDrive node, select Gender API from the list of available apps, and choose the action you need from the list of nodes within Gender API.

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Authenticate Gender API
Now, click the Gender API node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Gender API settings. Authentication allows you to use Gender API through Latenode.
Configure the Microsoft OneDrive and Gender API 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 Gender API 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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Save and Activate the Scenario
After configuring Microsoft OneDrive, Gender API, 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 OneDrive and Gender API integration works as expected. Depending on your setup, data should flow between Microsoft OneDrive and Gender API (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 Gender API
Microsoft OneDrive + Gender API + Google Sheets: When a new file (presumably a profile picture) is uploaded to OneDrive, the file is analyzed using the Gender API to determine the perceived gender. The results, along with the file name, are then logged in a Google Sheet for record-keeping and analysis.
Microsoft OneDrive + Gender API + Slack: When a new file is added to a specified OneDrive folder (presumably a profile picture), the Gender API determines the perceived gender from the file name. Based on the gender, a tailored welcome message is sent to the user via Slack. This assumes the file name contains the user's name or username.
Microsoft OneDrive and Gender API 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 Gender API
Use Gender API in Latenode to automatically determine gender from names, cleaning and enriching contact data. Build flows that personalize comms or segment users based on inferred gender. Streamline data hygiene and customer profiling with automated gender detection, cutting manual data entry in Latenode workflows.
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See how Latenode works
FAQ Microsoft OneDrive and Gender API
How can I connect my Microsoft OneDrive account to Gender API using Latenode?
To connect your Microsoft OneDrive account to Gender API 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 Gender API accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate gender identification for uploaded resumes?
Yes, you can! Latenode allows this. Trigger workflows on new OneDrive files, use Gender API to enrich data, and build more robust user profiles for improved HR efficiency.
What types of tasks can I perform by integrating Microsoft OneDrive with Gender API?
Integrating Microsoft OneDrive with Gender API allows you to perform various tasks, including:
- Automatically classifying files based on inferred gender.
- Enriching contact lists with gender data from stored documents.
- Triggering email campaigns based on file owner gender.
- Analyzing gender distribution in document contributor lists.
- Updating spreadsheets with gender information automatically.
How secure is my Microsoft OneDrive data when using Latenode?
Latenode employs robust security measures, including encryption and access controls, ensuring your data remains protected during integration and workflow execution.
Are there any limitations to the Microsoft OneDrive and Gender API integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large OneDrive files might cause longer processing times.
- Gender API accuracy depends on name data quality.
- The integration is limited by the Gender API's request quotas.