Integrate the Supportivekoala API with the Python API

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

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Popular Supportivekoala and Python Actions#

Create an Image with the Supportivekoala API

Creates an image based on a template. See the docs here

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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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Overview of Supportivekoala#

The Supportivekoala API offers a range of functionalities to create personalized images with overlaid text, which can be used for social media posts, custom greeting cards, or visual content for various marketing campaigns. With its ability to dynamically generate images, the API lends itself to automation for engaging customers or audiences through visual elements that are tailored to specific individuals or groups.

Connect Supportivekoala#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    supportivekoala: {
      type: "app",
      app: "supportivekoala",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.supportivekoala.com/v1/images`,
      headers: {
        Authorization: `Bearer ${this.supportivekoala.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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