Integrate the LiveAgent API with the Python API

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

Popular Ways to Connect LiveAgent with Python#

Run Python Code with Python API on New Customer from LiveAgent API

LiveAgent + Python

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Popular LiveAgent and Python Triggers#

New Customer from the LiveAgent API

Emit new event on each new customer.

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Popular LiveAgent and Python Actions#

Create Customer with the LiveAgent API

Creates a customer. See docs here

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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 LiveAgent#

The LiveAgent API provides access to a feature-rich helpdesk platform, allowing you to automate customer support tasks, synchronize data with other services, and streamline communication channels. With Pipedream, you can tap into the LiveAgent API to create custom workflows that enhance support operations, trigger actions based on customer interactions, and connect with a myriad of other apps to enrich the support ecosystem. Pipedream's serverless platform makes it simple to set up these automations with minimal coding, using pre-built actions or scripting your own.

Connect LiveAgent#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    liveagent: {
      type: "app",
      app: "liveagent",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.liveagent.$auth.domain}.ladesk.com/api/v3/agents`,
      headers: {
        "apikey": `${this.liveagent.$auth.api_key}`,
        "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#

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}}