Integrate the Ninox API with the Python API

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

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Popular Ways to Connect Ninox with Python#

Run Python Code with Python API on New Record from Ninox API

Ninox + Python

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Run Python Code with Python API on New Updated Record from Ninox API

Ninox + Python

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Popular Ninox and Python Triggers#

New Record from the Ninox API

Emit new event on each created record.

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New Updated Record from the Ninox API

Emit new event on each updated record.

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Popular Ninox and Python Actions#

Create Record with the Ninox API

Creates a record. 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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Update Record with the Ninox API

Updates a record. See docs here

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Overview of Ninox#

The Ninox API allows you to interact programmatically with the Ninox database platform. By harnessing this API via Pipedream, you can automate data entry, synchronize databases with other apps, and trigger actions based on specific events within your Ninox tables. It facilitates bidirectional communication, ensuring your data flows seamlessly between Ninox and other services in your tech stack. From sending notifications based on Ninox triggers to processing and analyzing data from other sources within Ninox, the possibilities are extensive.

Connect Ninox#

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