LifterLMS
Unlock your WordPress LMS website success with LifterLMS, the best all-in-one platform for courses & memberships.
Integrate the LifterLMS API with the Python API
Setup the LifterLMS API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate LifterLMS and Python remarkably fast. Free for developers.
Popular LifterLMS and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of LifterLMS #
The LifterLMS API allows you to leverage a powerful learning management system within your Pipedream workflows, enabling automation of course-related tasks, user management, and more. With this API, you can create new courses, enroll students, track progress, and trigger actions based on course events. Integrating LifterLMS with Pipedream can streamline operations, enhance student engagement, and provide personalized learning experiences by connecting to various other services like email platforms, CRMs, or analytics tools.
Connect LifterLMS #
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lifterlms: {
type: "app",
app: "lifterlms",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.lifterlms.$auth.url}/wp-json/llms/v1/courses`,
auth: {
username: `${this.lifterlms.$auth.consumer_key}`,
password: `${this.lifterlms.$auth.consumer_secret}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}