Integrate the shipcloud API with the Python API

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

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Popular Ways to Connect shipcloud with Python#

Run Python Code with Python API on New Shipment Status from shipcloud API

shipcloud + Python

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Popular shipcloud and Python Triggers#

New Shipment Status from the shipcloud API

Emit new event for shipment status changes See docs here

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Popular shipcloud and Python Actions#

Create Shipment with the shipcloud API

Create a shipment 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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Create Shipment Quote with the shipcloud API

Create a shipment quote See docs here

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Get Shipment Info with the shipcloud API

Retrieve details for a shipment See docs here

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Overview of shipcloud#

Shipcloud is a shipping service provider API that streamlines parcel shipping processes for businesses of all sizes. With Shipcloud, you can access multiple carriers, compare shipping rates, create shipping labels, track parcels, and handle returns within a single interface. Utilizing this API on Pipedream enables automation of shipping workflows, leading to efficient and scalable logistics operations.

Connect shipcloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shipcloud: {
      type: "app",
      app: "shipcloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.shipcloud.io/v1/me`,
      auth: {
        username: `${this.shipcloud.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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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