Integrate the Zonka Feedback API with the Python API

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

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Popular Ways to Connect Zonka Feedback with Python#

Run Python Code with Python API on New Survey Response from Zonka Feedback API

Zonka Feedback + Python

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Popular Zonka Feedback and Python Triggers#

New Survey Response from the Zonka Feedback API

Emit new event for each survey response. See docs

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Popular Zonka Feedback and Python Actions#

List Surveys with the Zonka Feedback API

List surveys from Zonka Feedback. You can filter surveys based on their status.

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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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Send Email Survey with the Zonka Feedback API

Send a survey by email. See docs

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Send SMS Survey with the Zonka Feedback API

Send a survey by SMS. Please ensure you have enough SMS credits. See docs

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Overview of Zonka Feedback#

Zonka Feedback API allows for the collection and management of customer feedback data. Through Pipedream, you can automate the process of capturing this feedback, analyze the data for insights, and integrate with other services to act on the information collected. With Pipedream's serverless platform, you can create complex workflows that trigger actions in other apps, based on feedback received, without writing extensive code.

Connect Zonka Feedback#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zonka_feedback: {
      type: "app",
      app: "zonka_feedback",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://apis.zonkafeedback.com/users`,
      headers: {
        "Z-API-TOKEN": `${this.zonka_feedback.$auth.auth_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}}

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