Microsoft OneNote

One cross-functional notebook for all your notetaking needs.

Integrate the Microsoft OneNote API with the Python API

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

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Create Notebook with the Microsoft OneNote API

Creates a notebook. See the documentation

 
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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 Page with the Microsoft OneNote API

Creates a page. See the documentation

 
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Create Section with the Microsoft OneNote API

Creates a section. See the documentation

 
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Overview of Microsoft OneNote

The Microsoft OneNote API lets you create, read, and update notes and notebooks. Integrating this API with Pipedream opens doors to automate note-taking, content management, and data syncing tasks. With Pipedream's serverless platform, you can set up workflows that trigger actions in OneNote or respond to events in OneNote, streamlining your digital note organization and enhancing productivity with automated processes.

Connect Microsoft OneNote

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    onenote: {
      type: "app",
      app: "onenote",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/v1.0/me`,
      headers: {
        Authorization: `Bearer ${this.onenote.$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}}

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

Adyen logo
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ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo