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.

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Popular Ways to Connect Howuku with Python#

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

Howuku + Python

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Popular Howuku and Python Triggers#

New Incoming Survey from the Howuku API

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

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Popular Howuku and Python Actions#

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#

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#

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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