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

Add the Open Weather Node
Select the Open Weather node from the app selection panel on the right.

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

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LearnDash
Authenticate LearnDash
Now, click the LearnDash node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LearnDash settings. Authentication allows you to use LearnDash through Latenode.
Configure the Open Weather and LearnDash 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 Open Weather and LearnDash 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
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AI Anthropic Claude 3
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LearnDash
Trigger on Webhook
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Open Weather
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Open Weather, LearnDash, 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 Open Weather and LearnDash integration works as expected. Depending on your setup, data should flow between Open Weather and LearnDash (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Open Weather and LearnDash
Open Weather + LearnDash + Google Sheets: When Open Weather detects specific weather conditions (e.g., rain, high wind) relevant to outdoor courses, it triggers an update in a Google Sheet, logging the date, course name, and weather details. This information can be used to analyze the impact of weather on student performance by correlating weather data with course completion rates from LearnDash.
Open Weather + LearnDash + Slack: This automation monitors weather conditions via Open Weather. If severe weather is detected that would impact outdoor training sessions, the system identifies enrolled students in relevant LearnDash courses and sends them a Slack message alerting them to the weather conditions and potential session changes.
Open Weather and LearnDash integration alternatives
About Open Weather
Use Open Weather in Latenode to automate weather-based triggers for business logic. Get current conditions or forecasts to adjust marketing campaigns, logistics, or facility management. Unlike standalone apps, Latenode lets you blend weather data with other services, apply custom logic, and scale your automation affordably based on execution time.
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About LearnDash
Automate LearnDash course management in Latenode. Enroll users automatically, send progress updates, and trigger actions in other apps based on course completion. Keep student data in sync with your CRM and marketing tools. Build custom learning paths visually; scale processes without code or per-step fees.
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See how Latenode works
FAQ Open Weather and LearnDash
How can I connect my Open Weather account to LearnDash using Latenode?
To connect your Open Weather account to LearnDash on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Open Weather and click on "Connect".
- Authenticate your Open Weather and LearnDash accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger course access based on weather conditions?
Yes! Latenode allows triggering LearnDash actions based on Open Weather data. Automate access based on weather, improving engagement. Plus, customize it all using JavaScript!
What types of tasks can I perform by integrating Open Weather with LearnDash?
Integrating Open Weather with LearnDash allows you to perform various tasks, including:
- Granting course access when the weather forecast is sunny.
- Sending weather-based learning tips through LearnDash notifications.
- Adjusting course difficulty based on predicted weather conditions.
- Creating personalized learning paths depending on current temperature.
- Notifying students of outdoor activities based on the weather forecast.
Can I use historical weather data from Open Weather?
Yes, Latenode allows you to retrieve historical weather information, enriching LearnDash courses with real-world examples and personalized content.
Are there any limitations to the Open Weather and LearnDash integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Open Weather and LearnDash may affect workflow speed.
- Complex weather data analysis may require custom JavaScript coding.
- Real-time weather data accuracy depends on Open Weather's API reliability.