Integrate the Hyperise API with the Python API

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

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Popular Ways to Connect Hyperise with Python#

Run Python Code with Python API on New Image Impression from Hyperise API

Hyperise + Python

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Popular Hyperise and Python Triggers#

New Image Impression from the Hyperise API

Emit new event when a new personalised image is viewed. See the documentation

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Popular Hyperise and Python Actions#

Create Personalised Short Link with the Hyperise API

Creates a personalised short URL from provided inputs. 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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Overview of Hyperise#

The Hyperise API lets you dynamically personalize images with user-specific data, making it easier to create tailored visual content for each recipient. With Pipedream, you can automate this personalization process by integrating Hyperise with various apps to generate and share custom images on the fly. This could be particularly useful for marketing campaigns, sales outreach, or social media engagement where personalized content significantly boosts user interaction.

Connect Hyperise#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hyperise: {
      type: "app",
      app: "hyperise",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.hyperise.io/api/v1/regular/users/current`,
      params: {
        api_token: `${this.hyperise.$auth.api_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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