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.

Run Python Code with Python API on New CES Rating from Nicereply API
Nicereply + Python
 
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Run Python Code with Python API on New CSAT Rating from Nicereply API
Nicereply + Python
 
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Run Python Code with Python API on New Customer Rating from Nicereply API
Nicereply + Python
 
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Run Python Code with Python API on New NPS Rating from Nicereply API
Nicereply + Python
 
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Run Python Code with Python API on New Survey Rating from Nicereply API
Nicereply + Python
 
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New CES Rating from the Nicereply API

Emit new event on each new CES rating.

 
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New CSAT Rating from the Nicereply API

Emit new event on each new CSAT rating.

 
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New Customer Rating from the Nicereply API

Emit new event on each new customer rating.

 
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New NPS Rating from the Nicereply API

Emit new event on each new NPS rating.

 
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New Survey Rating from the Nicereply API

Emit new event on each new survey rating.

 
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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 Nicereply

With Nicereply API, you can create powerful customer feedback solutions and
measure customer satisfaction scores in different ways.

Whether you're a developer, marketer, customer service agent, or product
manager, the Nicereply API makes it easy to set up and manage your customer
feedback solutions.

Here are some examples of what you can do with Nicereply API:

  • Automatically send surveys to customers and collect customer feedback.
  • Display customer satisfaction scores in various ways for different teams.
  • Track customer support metrics and trends over time.
  • Generate reports on customer satisfaction and support efficiency.
  • Integrate with third-party applications to extend your customer feedback
    solutions.
  • Design custom interaction forms and data fields.
  • Automate customer follow-ups and notifications.
  • Monitor customer sentiment across multiple channels.

Connect Nicereply

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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

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}}