Payhip

Payhip is an e-commerce platform that enables anyone to sell digital products, courses and memberships directly to their fans and followers.

Integrate the Payhip API with the Python API

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

Disable License Key with the Payhip API

Disable a license key. 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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Enable License Key with the Payhip API

Enable a license key. See the documentation

 
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Verify License Key with the Payhip API

Verify a license key. See the documentation

 
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Overview of Payhip

The Payhip API offers a suite of e-commerce capabilities, enabling automation for selling digital products, memberships, and physical goods. With Pipedream, you can leverage these capabilities to create customized workflows that respond to various Payhip events, such as new sales or product updates. These workflows can handle data manipulation, integrate with other services, or notify you or your team of important events.

Connect Payhip

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    payhip: {
      type: "app",
      app: "payhip",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://payhip.com/api/v1/license/verify`,
      headers: {
        "payhip-api-key": `${this.payhip.$auth.api_key}`,
      },
      params: {
        product_link: `123`,
        license_key: `123`,
      },
    })
  },
})

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}}