Integrate the Nicereply API with the MongoDB API

Setup the Nicereply API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Nicereply and MongoDB remarkably fast. Free for developers.

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Popular Ways to Connect Nicereply with MongoDB#

Create New Document with MongoDB API on New CES Rating from Nicereply API

Nicereply + MongoDB

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Create New Document with MongoDB API on New CSAT Rating from Nicereply API

Nicereply + MongoDB

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Create New Document with MongoDB API on New Customer Rating from Nicereply API

Nicereply + MongoDB

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Create New Document with MongoDB API on New NPS Rating from Nicereply API

Nicereply + MongoDB

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Create New Document with MongoDB API on New Survey Rating from Nicereply API

Nicereply + MongoDB

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Popular Nicereply and MongoDB Triggers#

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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Popular Nicereply and MongoDB Actions#

Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

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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 MongoDB#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})

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