Integrate the Megaventory API with the Python API

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

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Popular Ways to Connect Megaventory with Python#

Run Python Code with Python API on New Product Created from Megaventory API

Megaventory + Python

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

Megaventory + Python

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Run Python Code with Python API on New Sales Order Created from Megaventory API

Megaventory + Python

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Popular Megaventory and Python Triggers#

New Product Created from the Megaventory API

Emit new event when a new product is created. See the docs.

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New Purchase Order Created from the Megaventory API

Emit new event when a new purchase order is created. See the docs.

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New Sales Order Created from the Megaventory API

Emit new event when a new sales order is created. See the docs.

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Popular Megaventory and Python Actions#

Insert Or Update Product with the Megaventory API

Insert or update a product in the database. See the docs.

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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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Insert Or Update Purchase Order with the Megaventory API

Insert or update a purchase order in the database. See the docs.

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Insert Or Update Sales Order with the Megaventory API

Insert or update a sales order in the database. See the docs.

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Overview of Megaventory#

Megaventory is a robust inventory management API allowing for detailed tracking of products, orders, and the supply chain. You can automate the updating of stock levels, manage sales and purchase orders, and generate detailed reports. With Megaventory and Pipedream, you can craft automation workflows to streamline inventory operations, synchronize data across platforms, and trigger actions based on inventory changes.

Connect Megaventory#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    megaventory: {
      type: "app",
      app: "megaventory",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.megaventory.com/v2017a/json/reply/ProductGet?APIKEY=${this.megaventory.$auth.api_key}`,
      headers: {
        "Authorization": `Token token=${this.megaventory.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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