Integrate the FileStack API with the Python API

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

Popular FileStack and Python Actions#

Filter Image with the FileStack API

Applies filters such as sharpening, blurring, sepia, monochrome, and more, to an uploaded image. 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

Resize Image with the FileStack API

Resizes an uploaded image to specified width and height. See the documentation

Try it

Rotate Image with the FileStack API

Rotates an uploaded image by a specified degree. See the documentation

Try it

Upload Image with the FileStack API

Upload an image from a file or URL to FileStack. See the documentation

Try it

Overview of FileStack#

The FileStack API allows for robust file handling and manipulation in the cloud. With this API, you can upload files from any URL or device, transform and convert media files, and deliver content with speed and reliability. When leveraged through Pipedream, the FileStack API becomes a potent tool for automating file workflows, integrating with numerous other services, and handling complex file operations without the need for server infrastructure.

Connect FileStack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    filestack: {
      type: "app",
      app: "filestack",
    }
  },
  async run({steps, $}) {
    const data = new URLSearchParams({
      "url": "https://assets.filestackapi.com/watermark.png",
    }).toString();

    return await axios($, {
      method: "post",
      url: `https://www.filestackapi.com/api/store/S3`,
      params: {
        key: `${this.filestack.$auth.api_key}`,
      },
      headers: {
        "Content-Type": "application/x-www-form-urlencoded",
      },
      data: data,
    })
  },
})

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}}