What do you want to automate
with Zonka Feedback and Python?
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Popular Ways to Connect Zonka Feedback with Python#
Popular Zonka Feedback and Python Actions#
List surveys from Zonka Feedback. You can filter surveys based on their status.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies