Integrate the ShipHero API with the Python API

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

Popular ShipHero and Python Actions#

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.

Try it

Overview of ShipHero#

The ShipHero API enables granular control over warehousing and order fulfillment processes, offering endpoints for managing inventory, orders, returns, and shipping. In Pipedream, you can leverage this API to automate routine tasks, sync data across multiple platforms, and trigger actions based on specific events. This can save time, reduce errors, and increase operational efficiency for e-commerce businesses.

Connect ShipHero#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shiphero: {
      type: "app",
      app: "shiphero",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{
      products {
        request_id
        data(first: 100) {
          edges {
            node {
              id
              sku
              name
            }
          }
        }
      }
    }
    `,
    }
    return await axios($, {
      method: "post",
      url: `https://public-api.shiphero.com/graphql`,
      headers: {
        Authorization: `Bearer ${this.shiphero.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}