AfterShip

Create a world-class post-purchase experience.

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.

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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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo