Integrate the Spondyr API with the MongoDB API

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

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Popular Ways to Connect Spondyr with MongoDB#

Create New Document with MongoDB API on New Spondyr Processed from Spondyr API

Spondyr + MongoDB

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Create Spondyr with Spondyr API on New Collection from MongoDB API

MongoDB + Spondyr

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Create Spondyr with Spondyr API on New Database from MongoDB API

MongoDB + Spondyr

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Create Spondyr with Spondyr API on New Document from MongoDB API

MongoDB + Spondyr

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Create Spondyr with Spondyr API on New Field in Document from MongoDB API

MongoDB + Spondyr

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Popular Spondyr and MongoDB Triggers#

New Spondyr Processed from the Spondyr API

Emit new event when a spondyr is processed. See docs here

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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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Popular Spondyr and MongoDB Actions#

Create Spondyr with the Spondyr API

Generate and optionally deliver correspondence. 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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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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Overview of Spondyr#

The Spondyr API, known as MailboxValidator, is a tool designed to clean and verify email lists, ensuring that businesses can keep their email marketing databases free of invalid, inactive, or disposable email addresses. By integrating Spondyr with Pipedream, you can automate the process of maintaining a high-quality email list, triggering email validation workflows, and integrating with other services to enhance user management, campaign effectiveness, and overall data hygiene.

Connect Spondyr#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    spondyr: {
      type: "app",
      app: "spondyr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://client.spondyr.io/api/v1.0.0/TransactionTypes`,
      params: {
        APIKey: `${this.spondyr.$auth.api_key}`,
        ApplicationToken: `${this.spondyr.$auth.app_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#

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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