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

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

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

LearnDash
⚙
Google Cloud Firestore
Authenticate Google Cloud Firestore
Now, click the Google Cloud Firestore node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Firestore settings. Authentication allows you to use Google Cloud Firestore through Latenode.
Configure the LearnDash and Google Cloud Firestore 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 LearnDash and Google Cloud Firestore 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
⚙
AI Anthropic Claude 3
⚙
Google Cloud Firestore
Trigger on Webhook
⚙
LearnDash
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring LearnDash, Google Cloud Firestore, 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 LearnDash and Google Cloud Firestore integration works as expected. Depending on your setup, data should flow between LearnDash and Google Cloud Firestore (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect LearnDash and Google Cloud Firestore
LearnDash + Google Cloud Firestore + Slack: When a user completes a course in LearnDash, the completion data is saved to a document in Google Cloud Firestore. Then, a notification is sent to the course instructors via Slack.
LearnDash + Google Cloud Firestore + Google Sheets: When a user completes a course in LearnDash, the completion data is saved to a document in Google Cloud Firestore. This data is then used to update a row in a Google Sheet, tracking overall course progress.
LearnDash and Google Cloud Firestore integration alternatives
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.
Related categories
About Google Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
Similar apps
Related categories
See how Latenode works
FAQ LearnDash and Google Cloud Firestore
How can I connect my LearnDash account to Google Cloud Firestore using Latenode?
To connect your LearnDash account to Google Cloud Firestore on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LearnDash and click on "Connect".
- Authenticate your LearnDash and Google Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track course completion in Firestore?
Yes, you can easily track LearnDash course completions in Google Cloud Firestore with Latenode. Our visual editor simplifies data synchronization, enabling real-time reporting and analysis of student progress.
What types of tasks can I perform by integrating LearnDash with Google Cloud Firestore?
Integrating LearnDash with Google Cloud Firestore allows you to perform various tasks, including:
- Automatically back up LearnDash course data to Firestore.
- Sync user enrollment data between LearnDash and Firestore.
- Create custom reports based on course activity.
- Trigger personalized emails based on student progress.
- Analyze quiz results to improve course content using AI.
Can I use custom JavaScript functions in LearnDash workflows?
Yes! Latenode supports custom JavaScript, so you can add custom logic and calculations to your LearnDash and Google Cloud Firestore automations.
Are there any limitations to the LearnDash and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript coding.
- Real-time data synchronization depends on API availability and rate limits.
- Large data migrations might require batch processing for optimal performance.