Chaport

A better way to talk to your customers Add a live chat widget to your website, connect other channels, and automate sales & support with chatbots.

Integrate the Chaport API with the Python API

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

The Chaport API lets you harness the power of live chat automation, enabling seamless communication between customers and support agents. With Pipedream, you can connect the Chaport API to a vast array of services to automate notifications, sync chat data, and streamline customer interactions. Whether you're triggering workflows from new messages or updating CRM records, Chaport via Pipedream makes it possible to create custom automation that extends the utility of live chat across your business ecosystem.

Connect Chaport

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