Howuku

Howuku is an all-in-one UX & CRO platform for startups and SME businesses with tools such as Heatmap, SessionRecording, and ABTesting.

Integrate the Howuku API with the Python API

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

Run Python Code with Python API on New Incoming Survey from Howuku API
Howuku + Python
 
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New Incoming Survey from the Howuku API

Emit new event when a new incoming survey is received. See the documentation

 
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Get Survey Responses with the Howuku API

Retrieves a list of survey responses from Howuku. See the documentation

 
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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 Howuku

The Howuku API offers tools for website analytics, feedback collection, and customer engagement. Leveraging Howuku on Pipedream allows you to automate responses to customer interactions, analyze web traffic in real-time, and integrate with other services for enhanced data processing and action triggers. It's a powerful way to streamline your user experience analysis, gain insights from user feedback, and push data to other platforms for extended functionality.

Connect Howuku

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

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}}