BoxHero

Inventory Management Reinvented. BoxHero makes inventory management easier than ever.

Integrate the BoxHero API with the Python API

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

Run Python Code with Python API on New Transaction from BoxHero API
BoxHero + Python
 
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New Transaction from the BoxHero API

Emit new event when a transaction occurs. 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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Overview of BoxHero

The BoxHero API provides tools to manage inventory in a streamlined and efficient way. By integrating with Pipedream, you can automate inventory tracking, update stock levels in real-time, and synchronize data across platforms. Create powerful workflows that trigger actions based on inventory changes, connect to other apps for a seamless operation, or analyze inventory data for smarter decision-making.

Connect BoxHero

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    boxhero: {
      type: "app",
      app: "boxhero",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.boxhero-app.com/v1/items`,
      headers: {
        Authorization: `Bearer ${this.boxhero.$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}}