Qualaroo makes it easy to survey specific users in context while they are looking at your product, service & brand.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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}`,
},
})
},
})
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:
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}}