Zonka Feedback
Zonka Feedback is a multi-channel feedback system and survey app with actionable insights, real-time reporting and collaborative inbox.
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.
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
Popular Zonka Feedback and Python Actions#
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.
Overview of Zonka Feedback#
With the Zonka Feedback API, you can create powerful tools for collecting
customer feedback. Here are just a few examples of the types of things you can
build with their API:
- Create a customer feedback questionaire for your products or services
- Build an in-store experience feedback form
- Create customer satisfaction surveys
- Integrate customer feedback with your existing CRM system
- Collect employee engagement and satisfaction feedback
- Develop real-time customer support systems
- Put together custom analytics reports
- Develop customer satisfaction scorecards
- Create custom satisfaction scoring models
- Create customer feedback trend reports
- Create surveys for product or service launches
- Design customer loyalty systems
- Monitor sales and customer experiences to pinpoint areas for improvement
- Develop customer segmentation and targeting models
Connect Zonka Feedback#
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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#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
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}}