Integrate the Zenventory API with the Python API

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

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Popular Ways to Connect Zenventory with Python#

Run Python Code with Python API on New Customer Order Created from Zenventory API

Zenventory + Python

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Run Python Code with Python API on New Item Created from Zenventory API

Zenventory + Python

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Run Python Code with Python API on New Purchase Order Created from Zenventory API

Zenventory + Python

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Popular Zenventory and Python Triggers#

New Customer Order Created from the Zenventory API

Emit new event when a new customer order is created.

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New Item Created from the Zenventory API

Emit new event when a new item is created.

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New Purchase Order Created from the Zenventory API

Emit new event when a new purchase order is created.

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Popular Zenventory and Python Actions#

Create Customer Order with the Zenventory API

Creates a new customer order. 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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Create Item with the Zenventory API

Generates a new item. See the documentation

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Create Purchase Order with the Zenventory API

Generates a new purchase order. See the documentation

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Connect Zenventory#

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

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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