Integrate the Shipday API with the Python API

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

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Popular Shipday and Python Actions#

Create Shipping Order with the Shipday API

Creates a new shipping order. 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 Shipday#

The Shipday API lets you manage and automate delivery operations seamlessly. By integrating with Pipedream, you can orchestrate workflows that trigger from various events, sync data between services, and automate notifications or order tracking. With Pipedream's serverless platform, you can craft custom workflows that react in real-time to changes in delivery statuses, new order placements, or updates from other integrated services. This flexibility allows businesses to enhance their delivery processes, improve customer communication, and streamline operations.

Connect Shipday#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shipday: {
      type: "app",
      app: "shipday",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.shipday.com/orders`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `Basic ${this.shipday.$auth.api_key}`,
      },
    })
  },
})

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#

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}}

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