Integrate the Amplenote API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Amplenote and Python Actions#

Create Note with the Amplenote API

Creates a new note. See docs here

Try it

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

Create Task with the Amplenote API

Creates a new task. See docs here

Try it

Overview of Amplenote#

The Amplenote API provides a way to interact programmatically with Amplenote's note-taking and task management capabilities. By using Amplenote's API on Pipedream, you can automate note creation, update tasks, and sync content across other apps and services. It's a powerful tool for those looking to streamline their workflow, enhance productivity, and integrate with other digital tools seamlessly.

Connect Amplenote#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    amplenote: {
      type: "app",
      app: "amplenote",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.amplenote.com/v4/notes`,
      headers: {
        Authorization: `Bearer ${this.amplenote.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo