Integrate the AfterShip API with the Python API

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

Popular AfterShip and Python Actions#

Create Tracking with the AfterShip API

Creates a tracking. 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 Tracking with the AfterShip API

Obtains an existing tracking system's data by ID. See the documentation

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Update Tracking with the AfterShip API

Updates an existing tracking. See the documentation

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Overview of AfterShip#

The AfterShip API on Pipedream allows you to seamlessly track shipments across various carriers, get real-time updates, and manage delivery exceptions. It's a gold mine for automating post-purchase customer communication and optimizing logistics operations. By integrating with AfterShip, you can create workflows that trigger upon shipment status changes, delays, or successful deliveries, and connect these events with other apps to streamline your e-commerce processes.

Connect AfterShip#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aftership: {
      type: "app",
      app: "aftership",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aftership.com/commerce/v1/stores`,
      headers: {
        "Content-Type": `application/json`,
        "as-api-key": `${this.aftership.$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}}