Integrate the BotConversa API with the MongoDB API

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

Popular Ways to Connect BotConversa with MongoDB#

Add Tag with BotConversa API on New Collection from MongoDB API

MongoDB + BotConversa

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Add Tag with BotConversa API on New Database from MongoDB API

MongoDB + BotConversa

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Add Tag with BotConversa API on New Document from MongoDB API

MongoDB + BotConversa

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Add Tag with BotConversa API on New Field in Document from MongoDB API

MongoDB + BotConversa

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Create Subscriber with BotConversa API on New Collection from MongoDB API

MongoDB + BotConversa

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Popular BotConversa 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 BotConversa and MongoDB Actions#

Add Tag with the BotConversa API

Add tags to a specific subscriber. 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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Create Subscriber with the BotConversa API

Create a new subscriber. 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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Send Message with the BotConversa API

Send a message to a specific subscriber. See the documentation

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Overview of BotConversa#

The BotConversa API allows for the automation and integration of chatbot services into various platforms, fostering seamless interactions with users. With this API, you can create, manage, and deploy conversational bots that can engage with users in real-time, providing support, gathering feedback, or even conducting surveys. On Pipedream, you can concoct workflows that trigger actions within BotConversa or respond to events, such as new messages or user queries. This opens the door to a world where chatbots become a part of larger automation schemes, interacting with other apps and services to streamline communication processes.

Connect BotConversa#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    botconversa: {
      type: "app",
      app: "botconversa",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://backend.botconversa.com.br/api/v1/webhook/campaigns/`,
      headers: {
        "Accept": `application/json`,
        "API-KEY": `${this.botconversa.$auth.api_key}`,
      },
    })
  },
})

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()
  },
})