Amplenote

Write it down. Get it done. Take your best ideas from hunch to launch with Amplenote.

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.

Create Note with the Amplenote API

Creates a new note. 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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Create Task with the Amplenote API

Creates a new task. See docs here

 
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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

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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

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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}}