Fluent Support

Powerful Helpdesk Plugin for WordPress. Automate your support ticketing tasks with workflows and super fast shared inbox.

Integrate the Fluent Support API with the Python API

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

The Fluent Support API lets you interact with your Fluent Support ticketing system programmatically, enabling you to automate ticket management, sync customer data, and trigger actions based on ticket events. With Pipedream, you can harness this functionality to create custom workflows that respond to ticket creation, updates, and status changes, or to integrate ticket data with other apps and services.

Connect Fluent Support

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fluent_support: {
      type: "app",
      app: "fluent_support",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.fluent_support.$auth.url}/wp-json/fluent-support/v2/tickets`,
      auth: {
        username: `${this.fluent_support.$auth.username}`,
        password: `${this.fluent_support.$auth.application_password}`,
      },
    })
  },
})

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}}