Thinkific

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.

Integrate the Thinkific API with the Python API

Setup the Thinkific API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Thinkific and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of Thinkific

The Thinkific API provides a comprehensive set of tools to help you create an
engaging online course. It can be used to create automated course creation,
course delivery, and course management systems. You can build a variety of
different applications and integrations with Thinkific’s API, ranging from
customer service to marketing to sales automation.

Here are a few examples of how you can benefit from the Thinkific API:

  • Enroll and manage users for your course: The Thinkific API allows you to
    create new users, enroll them in your course, manage enrollment, and provide
    access to their course content.
  • Create custom payment systems and access coupon codes: Utilize the Thinkific
    API to build custom payment systems, allowing you to create unique offers to
    your users. Additionally, you can create customer coupon codes to give your
    customers a discount on their purchase.
  • Track and analyze user activity: Keep track of user activity in your course
    using the Thinkific API. You can track page views, tries, completions, and
    other user engagement metrics.
  • Embed third party applications in your course: Embed third party apps into
    your course with the Thinkific API. You can utilize existing apps to bring
    new content and interactivity to your course.
  • Automate sales and customer service: Automate sales and customer service
    processes with the Thinkific API. Create automated sales funnels and respond
    to customer inquiries with the Thinkific API.

There are many more possibilities with the Thinkific API, giving you complete
control over how you build and manage your online course. With the Thinkific
API, you have full control to bring all your ideas to life.

Connect Thinkific

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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`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}