Canvas

Learning management system

Integrate the Canvas API with the Python API

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

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.

 
Try it

Overview of Canvas

The Canvas API allows you to tap into the power of the Canvas Learning Management System, enabling educators and administrators to automate tasks, synchronize educational tools, and manage courses and users programmatically. It provides endpoints for accessing course information, user details, assignments, and more, which can be incredibly useful for creating customized educational experiences and streamlining administrative workflows. With Pipedream, you can harness these capabilities to trigger actions, connect with other apps and services, and create complex automations without writing extensive code.

Connect Canvas

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    canvas: {
      type: "app",
      app: "canvas",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.canvas.$auth.domain}/api/v1/users/self`,
      headers: {
        Authorization: `Bearer ${this.canvas.$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}}