Integrate the SmartEngage API with the Python API

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

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Popular SmartEngage and Python Actions#

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 SmartEngage #

The SmartEngage API enables automated interactions with customers across multiple channels like email, SMS, and push notifications. It focuses on unifying these channels to provide a cohesive messaging experience. Utilizing the API in Pipedream allows you to craft workflows that respond to customer behavior, synchronize data across platforms, and send targeted communications, all in real-time. With Pipedream's serverless platform, you can trigger these workflows based on events from other apps, process the data, and call the SmartEngage API without managing infrastructure.

Connect SmartEngage #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    smartengage: {
      type: "app",
      app: "smartengage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.smartengage.com/avatars/list`,
      headers: {
        Authorization: `Bearer ${this.smartengage.$auth.api_key}`,
      },
    })
  },
})

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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