Integrate the iLovePDF API with the MongoDB API

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

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Popular Ways to Connect iLovePDF with MongoDB#

Create New Document with MongoDB API on New Task Completed from iLovePDF API

iLovePDF + MongoDB

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Delete a Document with MongoDB API on New Task Completed from iLovePDF API

iLovePDF + MongoDB

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Execute Aggregation with MongoDB API on New Task Completed from iLovePDF API

iLovePDF + MongoDB

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Find Document by Id with MongoDB API on New Task Completed from iLovePDF API

iLovePDF + MongoDB

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Find Document with MongoDB API on New Task Completed from iLovePDF API

iLovePDF + MongoDB

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Popular iLovePDF and MongoDB Triggers#

New Task Completed from the iLovePDF API

Emit new event for each new task. See the documentation

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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 iLovePDF 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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Process Files with the iLovePDF API

Process one or more files with the desired tool. See the documentation

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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 iLovePDF#

The iLovePDF API lets you automate PDF processing tasks like merging, splitting, compressing, and converting PDFs to other formats. iLovePDF's robust functionality can be harnessed in Pipedream workflows, which may include handling PDFs generated from various triggers, processing them as needed, and connecting to other services for storage, data extraction, or further actions based on the transformed PDFs.

Connect iLovePDF#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ilovepdf: {
      type: "app",
      app: "ilovepdf",
    }
  },
  async run({steps, $}) {
    const data = {
      "public_key": `${this.ilovepdf.$auth.public_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.ilovepdf.com/v1/auth`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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