with Thinkific and Python?
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}}