Integrate the UserVoice API with the Python API

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

Popular Ways to Connect UserVoice with Python#

Run Python Code with Python API on New NPS Ratings from UserVoice API

UserVoice + Python

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Popular UserVoice and Python Triggers#

New NPS Ratings from the UserVoice API

Emits new NPS ratings submitted through the UserVoice NPS widget. On first run, emits up to 10 sample NPS ratings users have previously submitted.

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Popular UserVoice and Python Actions#

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 UserVoice#

The UserVoice API allows you to tap into customer feedback and support data to automate and enhance customer engagement processes. With the API, you can programmatically access UserVoice accounts to retrieve suggestions, tickets, and user data, allowing you to analyze customer trends, automate responses, and integrate with other customer success platforms. By leveraging Pipedream's capabilities, you can create event-driven workflows that react to UserVoice events, synchronize data across multiple services, and construct a more responsive customer feedback loop.

Connect UserVoice#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uservoice: {
      type: "app",
      app: "uservoice",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.uservoice.$auth.subdomain}.uservoice.com/api/v2/admin/users/current`,
      headers: {
        Authorization: `Bearer ${this.uservoice.$auth.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#

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}}