DPD

DPD is an all-in-one shopping cart and digital fulfillment service to sell downloads. Serving thousands of stores, DPD processes and delivers millions worth of downloads each year.

Integrate the DPD API with the Python API

Setup the DPD API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DPD 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.

 
Try it

Overview of DPD

The DPD API provides a gateway to manage and automate digital product sales. By integrating with Pipedream, you can craft serverless workflows that interact with your DPD account, harnessing the ability to automate tasks like creating products, updating customer details, or reacting to new sales in real-time. With Pipedream's ability to connect to a multitude of services, the DPD API can be part of a larger ecosystem, streamlining your e-commerce operations or enriching your customer data across platforms.

Connect DPD

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dpd2: {
      type: "app",
      app: "dpd2",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getdpd.com/v2/storefronts`,
      auth: {
        username: `${this.dpd2.$auth.api_username}`,
        password: `${this.dpd2.$auth.api_password}`,
      },
    })
  },
})

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}}