Integrate the Botpress API with the MongoDB API

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

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Popular Ways to Connect Botpress with MongoDB#

Add Participant To Conversation with Botpress API on New Collection from MongoDB API

MongoDB + Botpress

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Add Participant To Conversation with Botpress API on New Database from MongoDB API

MongoDB + Botpress

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Add Participant To Conversation with Botpress API on New Document from MongoDB API

MongoDB + Botpress

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Add Participant To Conversation with Botpress API on New Field in Document from MongoDB API

MongoDB + Botpress

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Create New Document with MongoDB API on New Bot Event Created from Botpress API

Botpress + MongoDB

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Popular Botpress and MongoDB Triggers#

New Bot Event Created from the Botpress API

Emit new event from bot is created. 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 Botpress and MongoDB Actions#

Add Participant To Conversation with the Botpress API

Adds a participant to a conversation. 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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List Conversations with the Botpress API

List conversations. 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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Overview of Botpress#

Botpress is a powerful, open-source chatbot platform that enables developers to create intelligent, conversational bots. With its natural language understanding (NLU) capabilities, users can design bots that can interpret human language and respond appropriately. Utilizing the Botpress API on Pipedream allows you to automate interactions, analyze chat data, and integrate with various other services to enhance the functionality of your bots.

Connect Botpress#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    botpress: {
      type: "app",
      app: "botpress",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.botpress.cloud/v1/chat/users`,
      headers: {
        Authorization: `Bearer ${this.botpress.$auth.identity_token}`,
        "Content-Type": `application/json`,
        "x-bot-id": `${this.botpress.$auth.bot_id}`,
      },
    })
  },
})

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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