Integrate the Starshipit API with the Python API

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

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Popular Starshipit and Python Actions#

Create Order with the Starshipit API

Create an outbound order in Starshipit. 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 Details with the Starshipit API

Retrieve tracking details using a tracking number or order number. See the documentation

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Print Shipping Label with the Starshipit API

Print a shipping label for a specific order. See the documentation

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Overview of Starshipit#

The Starshipit API is a tool for optimizing and automating shipping and fulfillment processes. By integrating it with Pipedream, you can create powerful serverless workflows that connect Starshipit with other apps and services to streamline e-commerce operations, reduce manual entry, and improve customer experiences. From automating order dispatch to synchronizing tracking information across platforms, the possibilities are vast.

Connect Starshipit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    starshipit: {
      type: "app",
      app: "starshipit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.starshipit.com/api/orders/unshipped`,
      headers: {
        "Content-Type": `application/json`,
        "StarShipIT-Api-Key": `${this.starshipit.$auth.api_key}`,
        "Ocp-Apim-Subscription-Key": `${this.starshipit.$auth.subscription_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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