Create online courses and membership sites with Thinkific and feel confident that you've got the easiest technology and the best support in the industry.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new Enrollment for specified student in specified course. See the documentation
Updates the information of a specific user on Thinkific. See the documentation
Thinkific's API opens a treasure trove of possibilities for automating and enhancing the e-learning experience. It provides programmatic access to your Thinkific site, allowing you to manage courses, users, enrollments, and more. With Pipedream's serverless platform, you can connect Thinkific to a multitude of other applications, automate tasks, sync data across various services, and trigger workflows based on specific events, all without writing a line of server code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
thinkific: {
type: "app",
app: "thinkific",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.thinkific.com/api/public/v1/courses`,
headers: {
"X-Auth-API-Key": `${this.thinkific.$auth.api_key}`,
"X-Auth-Subdomain": `${this.thinkific.$auth.subdomain}`,
"Content-Type": `application/json`,
},
})
},
})
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:
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}}