Qualaroo

Qualaroo makes it easy to survey specific users in context while they are looking at your product, service & brand.

Integrate the Qualaroo API with the Python API

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

Run Python Code with Python API on New Survey Created from Qualaroo API
Qualaroo + Python
 
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Run Python Code with Python API on New Survey Response Received from Qualaroo API
Qualaroo + Python
 
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New Survey Created from the Qualaroo API

Emit new event when a survey is created.

 
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New Survey Response Received from the Qualaroo API

Emit new event when a survey response is received.

 
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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 Qualaroo

Qualaroo is an advanced tool for collecting user feedback through surveys and analyzing those insights. With the Qualaroo API, you can programmatically manage your surveys, retrieve survey responses, and integrate user feedback into your data pipeline to enhance decision-making. On Pipedream, you can harness this API to automate the aggregation of survey data, trigger actions based on feedback, and sync insights across various platforms.

Connect Qualaroo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    qualaroo: {
      type: "app",
      app: "qualaroo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.qualaroo.com/api/v1/nudges/{survey_id}/responses.json`,
      auth: {
        username: `${this.qualaroo.$auth.api_key}`,
        password: `${this.qualaroo.$auth.api_secret}`,
      },
    })
  },
})

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}}