Nicereply
Nicereply helps our customers tell us whether they’re getting what they need. This creates opportunities to respond to specific feedback in the short-term while developing longer-term solutions in our approach.
Integrate the Nicereply API with the Python API
Setup the Nicereply API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Nicereply and Python remarkably fast. Free for developers.
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Popular Nicereply and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Nicereply#
The Nicereply API enables the integration of customer satisfaction data into various business workflows. With its API, you can automate the collection of customer feedback, analyze customer sentiment, track agent performance, and generate actionable insights. Leveraging Pipedream’s capabilities, you can create powerful automations that respond to Nicereply events, synchronize data across platforms, and trigger actions in other applications, enriching CRM data or streamlining support workflows.
Connect Nicereply#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nicereply: {
type: "app",
app: "nicereply",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.nicereply.com/v1/users`,
headers: {
"Accept": `application/json`,
},
auth: {
username: ``,
password: `${this.nicereply.$auth.private_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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies