Integrate the Chatbot Builder API with the MongoDB API

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

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Popular Ways to Connect Chatbot Builder with MongoDB#

Create Tag with Chatbot Builder API on New Collection from MongoDB API

MongoDB + Chatbot Builder

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Create Tag with Chatbot Builder API on New Database from MongoDB API

MongoDB + Chatbot Builder

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Create Tag with Chatbot Builder API on New Document from MongoDB API

MongoDB + Chatbot Builder

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Create Tag with Chatbot Builder API on New Field in Document from MongoDB API

MongoDB + Chatbot Builder

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Delete Tag with Chatbot Builder API on New Collection from MongoDB API

MongoDB + Chatbot Builder

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Popular Chatbot Builder 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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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 Chatbot Builder and MongoDB Actions#

Create Tag with the Chatbot Builder API

Creates a new tag in Chatbot Builder. See the documentation

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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 Tag with the Chatbot Builder API

Deletes a tag from Chatbot Builder. 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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List Tags with the Chatbot Builder API

Lists all tags in Chatbot Builder. See the documentation

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Overview of Chatbot Builder#

The Chatbot Builder API allows you to create and manage customized chatbots that can interact with users in real-time. Within Pipedream's serverless platform, this API can be harnessed to build powerful workflows that react to messages, automate responses, and integrate with a plethora of other services. With Pipedream, you can set up event-driven processes, making it easy to manage chatbot activities, analyze conversations, and trigger actions in other apps based on chatbot interactions.

Connect Chatbot Builder#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatbot_builder: {
      type: "app",
      app: "chatbot_builder",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.chatgptbuilder.io/api/accounts/me`,
      headers: {
        "X-ACCESS-TOKEN": `${this.chatbot_builder.$auth.api_access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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