Integrate the Microsoft Excel API with the Python API

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

Popular Ways to Connect Microsoft Excel with Python#

Run Python Code with Python API on New Item Updated (Instant) from Microsoft Excel API

Microsoft Excel + Python

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Popular Microsoft Excel and Python Triggers#

New Item Updated (Instant) from the Microsoft Excel API

Emit new event when an item is updated.

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Popular Microsoft Excel and Python Actions#

Add A Worksheet Tablerow with the Microsoft Excel API

Adds rows to the end of specific table. 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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Update Worksheet Tablerow with the Microsoft Excel API

Update the properties of tablerow object. (Only for work or school account) See the documentation

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Overview of Microsoft Excel#

The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.

Connect Microsoft Excel#

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