SurveyMonkey

Online surveys

Integrate the SurveyMonkey API with the MongoDB API

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

Create New Document with MongoDB API on New Custom webhook events from SurveyMonkey API
SurveyMonkey + MongoDB
 
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Create New Document with MongoDB API on New Survey from SurveyMonkey API
SurveyMonkey + MongoDB
 
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Create New Document with MongoDB API on New Survey Response from SurveyMonkey API
SurveyMonkey + MongoDB
 
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Delete a Document with MongoDB API on New Custom webhook events from SurveyMonkey API
SurveyMonkey + MongoDB
 
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Delete a Document with MongoDB API on New Survey from SurveyMonkey API
SurveyMonkey + MongoDB
 
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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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New Custom webhook events from the SurveyMonkey API

Emit new custom webhook event

 
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Get Collector Details with the SurveyMonkey API

Get details for a Collector. See the docs here

 
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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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Get My Info with the SurveyMonkey API

Retrieve your account details. 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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Get Response Details with the SurveyMonkey API

Get details for a Response. See the docs here

 
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Overview of SurveyMonkey

The SurveyMonkey API provides dynamic access to survey creation, retrieval, and distribution functionality, along with deep insights into responses. With Pipedream’s serverless integration platform, you can automate custom workflows that trigger actions based on survey events, analyze survey data, or synchronize survey results with other data sources. Pipedream’s ability to connect with hundreds of apps opens up a vast landscape of automation possibilities, directly integrating with data visualization tools, CRMs, marketing platforms, and more.

Connect SurveyMonkey

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    survey_monkey: {
      type: "app",
      app: "survey_monkey",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.surveymonkey.com/v3/users/me`,
      headers: {
        Authorization: `Bearer ${this.survey_monkey.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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()
  },
})