Keysender

Keysender provides fulfillment, order automation, fraud prevention, and insights for Digital Product sellers.

Integrate the Keysender API with the Python API

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

Create Transaction with the Keysender API

Creates a new transaction within Keysender. 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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Overview of Keysender

The Keysender API offers a unique capability to automate the process of sending product keys or digital goods instantly after a payment transaction. By integrating this API with Pipedream, you can craft seamless workflows for e-commerce automation, customer support, and digital product distribution. Pipedream's serverless platform lets you connect Keysender with various apps for triggering actions, processing data, and responding to events in real-time.

Connect Keysender

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    keysender: {
      type: "app",
      app: "keysender",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://panel.keysender.co.uk/api/v1.0/databases`,
      headers: {
        Authorization: `Bearer ${this.keysender.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}