LoyJoy

LoyJoy is the Conversational Platform That Helps You Wow Customers, Triple Conversation Rates and Cut Project Times in Half.

Integrate the LoyJoy API with the Python API

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

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

Overview of LoyJoy

The LoyJoy API allows you to engage with customers through conversational marketing. You can orchestrate chats, manage users, and track customer interactions and data in real-time. With Pipedream, you can harness this API to create automated workflows that respond to customer inputs, update CRM records, send personalized notifications, and more, all using event-driven serverless architecture.

Connect LoyJoy

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loyjoy: {
      type: "app",
      app: "loyjoy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app-stable.loyjoy.com/api/process-definition`,
      headers: {
        Authorization: `Bearer ${this.loyjoy.$auth.access_token}`,
        "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

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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}}