Integrate the EngageBay API with the Python API

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

Popular EngageBay 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.

Overview of EngageBay#

EngageBay is a comprehensive customer relationship management (CRM) and marketing automation platform designed to help businesses attract, engage, and convert web visitors into customers. By leveraging the EngageBay API with Pipedream, you can automate intricate tasks, synchronize data across different applications, and create personalized customer experiences. From automating lead capture to syncing contacts and creating custom email campaigns based on user actions, Pipedream's serverless platform enables you to craft workflows that streamline your sales and marketing processes.

Connect EngageBay#

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