Integrate the ImageKit.io API with the Python API

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

Popular ImageKit.io and Python Actions#

Get File Details with the ImageKit.io API

Get details from a specific file. 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

Search Files with the ImageKit.io API

List all the uploaded files and folders in your ImageKit.io media library. See the documentation

Try it

Upload Image with the ImageKit.io API

Upload a new image to ImageKit.io. See the documentation

Try it

Overview of ImageKit.io#

ImageKit.io API lets you manage, optimize, and deliver images dynamically for your web applications. On Pipedream, you can integrate this API to construct serverless workflows that automate your image operations and connect with other services. You can upload images from various sources, apply real-time transformations, and track media assets without managing infrastructure.

Connect ImageKit.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    imagekit_io: {
      type: "app",
      app: "imagekit_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.imagekit.io/v1/files`,
      auth: {
        username: `${this.imagekit_io.$auth.private_key}`,
        password: ``,
      },
    })
  },
})

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}}