Integrate the PandaDoc API with the MongoDB API

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

Popular Ways to Connect PandaDoc with MongoDB#

Create Document Attachment with PandaDoc API on New Collection from MongoDB API

MongoDB + PandaDoc

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Create Document Attachment with PandaDoc API on New Database from MongoDB API

MongoDB + PandaDoc

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Create Document Attachment with PandaDoc API on New Document from MongoDB API

MongoDB + PandaDoc

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Create Document Attachment with PandaDoc API on New Field in Document from MongoDB API

MongoDB + PandaDoc

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Create Document From File with PandaDoc API on New Collection from MongoDB API

MongoDB + PandaDoc

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Popular PandaDoc and MongoDB Triggers#

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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Document Creation Failed (Instant) from the PandaDoc API

Emit new event when a document failed to be created See docs here

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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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Document Deleted (Instant) from the PandaDoc API

Emit new event when a document is deleted See docs here

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Popular PandaDoc and MongoDB Actions#

Create Document Attachment with the PandaDoc API

Adds an attachment to a document. 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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Create Document From File with the PandaDoc API

Create a document from a file or public file URL. 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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Create Document From Template with the PandaDoc API

Create Document from PandaDoc Template. See the docs here

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Overview of PandaDoc#

The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.

Connect PandaDoc#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pandadoc: {
      type: "app",
      app: "pandadoc",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pandadoc.com/public/v1/members/current/`,
      headers: {
        Authorization: `Bearer ${this.pandadoc.$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#

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()
  },
})