Integrate the Cloudinary API with the Python API

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

Start for free — no credit card required

Watch a demo

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

Popular Cloudinary and Python Actions#

Get Account Usage Details with the Cloudinary API

Enables you to get a report on the status of your Cloudinary account usage details, including storage, credits, bandwidth, requests, number of resources, and add-on usage. See the documentation

Try it

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

Get Resources with the Cloudinary API

Lists resources (assets) uploaded to your product environment. See the documentation

Try it

Image Transformation with the Cloudinary API

Transforms images on-the-fly. It modifies them to any required format, style and dimension, resize and crop the images, etc. See the documentation

Try it

Resource Transformation with the Cloudinary API

Transforms image or video resources on-the-fly. It allows transformation options for resource optimization (i.e. web viewing), resize and crop the resources, etc. Image transformation documentation. Video transformation documentation

Try it

Overview of Cloudinary#

The Cloudinary API empowers developers to manage media assets in the cloud with ease. It allows for uploading, storing, optimizing, and delivering images and videos with automated transformations to ensure the content is tailored for any device or platform. This API's versatility is key for automating workflows that require dynamic media handling, such as resizing images on-the-fly, converting video formats, or even extracting metadata for asset management.

Connect Cloudinary#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudinary: {
      type: "app",
      app: "cloudinary",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudinary.com/v1_1/${this.cloudinary.$auth.cloud_name}/resources/image`,
      auth: {
        username: `${this.cloudinary.$auth.api_key}`,
        password: `${this.cloudinary.$auth.api_secret}`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo