ShipStation

Import, manage and ship your orders with ShipStation

Integrate the ShipStation API with the Python API

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

Run Python Code with Python API on New Event (Instant) from ShipStation API
ShipStation + Python
 
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New Event (Instant) from the ShipStation API

Emit new event for each new webhook event received. See docs here

 
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Create Order with the ShipStation API

Create a new order. See docs here

 
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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 ShipStation

The ShipStation API allows for streamlined management of shipping operations for e-commerce. With it, you can automate order processing, label creation, and tracking updates. Pipedream excels as a platform for integrating ShipStation with other services to create custom workflows.

Connect ShipStation

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shipstation: {
      type: "app",
      app: "shipstation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://ssapi.shipstation.com/users/`,
      auth: {
        username: `${this.shipstation.$auth.api_key}`,
        password: `${this.shipstation.$auth.api_secret}`,
      },
    })
  },
})

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}}