Integrate the Microsoft Advertising API with the Python API

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

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Popular Microsoft Advertising and Python Actions#

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 Microsoft Advertising#

The Microsoft Advertising API allows you to programmatically manage your advertising campaigns. Using this API on Pipedream, you can create, read, update, and delete campaigns, ad groups, and ads. You can also retrieve reports to analyze performance. Pipedream's serverless platform lets you connect the Microsoft Advertising API to a plethora of other services to automate workflows, sync data across platforms, and react to events in real time.

Connect Microsoft Advertising#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_advertising: {
      type: "app",
      app: "microsoft_advertising",
    },
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://clientcenter.api.bingads.microsoft.com/CustomerManagement/v13/User/Query`,
      method: "post",
      headers: {
        Authorization: `Bearer ${this.microsoft_advertising.$auth.oauth_access_token}`,
        DeveloperToken: `${this.microsoft_advertising.$auth.developer_token}`,
      },
      data: {
        User: null,
      },
    })
  },
})

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}}

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