Integrate the Canva API with the Python API

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

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Popular Canva and Python Actions#

Create Design with the Canva API

Creates a new Canva design. 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 Design Import Job with the Canva API

Starts a new job to import an external file as a new design in Canva. See the documentation

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Export Design with the Canva API

Starts a new job to export a file from Canva. See the documentation

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Upload Asset with the Canva API

Uploads an asset to Canva. See the documentation

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Overview of Canva#

The Canva API enables automated interaction with the Canva platform, allowing users to create, edit, and manage designs programmatically. By using this API on Pipedream, you can streamline design workflows, integrate rich media generation into your apps, or even automate content creation across various marketing channels. The core power lies in its ability to seamlessly integrate with other services, making it a vital tool for dynamic content creation that can adapt to data inputs from various sources.

Connect Canva#

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

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