Supernotes

Supernotes is your new home for ideas, records, tasks, and lists. Enjoy efficient note-taking without the hassle.

Integrate the Supernotes API with the Python API

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

Create a simple card with the Supernotes API

Create a single card with the minimum amount of data required. 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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Overview of Supernotes

The Supernotes API lets you automate your note-taking and knowledge management tasks. With Supernotes, you can create, update, and organize cards, collaborate on notes with teammates, and track changes in your knowledge base. Using Pipedream, you can harness these abilities to create intricate workflows that leverage the capabilities of Supernotes in concert with hundreds of other services, creating a seamless integration for productivity and collaboration.

Connect Supernotes

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    supernotes: {
      type: "app",
      app: "supernotes",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.supernotes.app/v1/profiles/`,
      headers: {
        "Api-Key": `${this.supernotes.$auth.api_key}`,
      },
    })
  },
})

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}}