Hotmart

Hotmart, Where Creativity Meets Business.

Integrate the Hotmart API with the Python API

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

Get Comissions with the Hotmart API

Get sales commission information for sale participants. See the documentation

 
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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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Get Sales History with the Hotmart API

Retrieve sales history from the Hotmart account. See the documentation

 
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Get Subscriptions with the Hotmart API

Get subscribers from hotmart profile. See the documentation

 
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Overview of Hotmart

The Hotmart API connects you to a platform where creators sell and distribute digital products. With Pipedream, you can automate actions within Hotmart or sync its data with other apps. For example, you might automate participant registration for a course after a new sale or update customer info across your CRM system. The API provides endpoints to manage products, sales, and affiliates, offering vast possibilities for integration and automation.

Connect Hotmart

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hotmart: {
      type: "app",
      app: "hotmart",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.hotmart.$auth.environment}.hotmart.com/payments/api/v1/subscriptions?status={{your_status}}`, //ex. status=ACTIVE
      headers: {
        Authorization: `Bearer ${this.hotmart.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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

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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}}