HappyFox Chat

HappyFox Chat is a live chat software to connect, engage and convert customers.

Integrate the HappyFox Chat API with the Python API

Setup the HappyFox Chat API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate HappyFox Chat 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 HappyFox Chat

The HappyFox Chat API equips you with the capability to enhance customer support interactions by automating chat-related tasks, extracting chat data for analysis, and connecting chat events with other business tools. By leveraging this API with Pipedream's serverless platform, you can create powerful workflows that respond to chat events in real-time, synchronize chat data across platforms, and augment your support system with advanced features like dynamic responses or customer satisfaction analysis.

Connect HappyFox Chat

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    happyfox_chat: {
      type: "app",
      app: "happyfox_chat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.happyfoxchat.com/v1/agents`,
      headers: {
        Authorization: `Bearer ${this.happyfox_chat.$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

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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}}