Integrate the Sendbird API with the MongoDB API

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

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Popular Ways to Connect Sendbird with MongoDB#

List messages with Sendbird API on New Collection from MongoDB API

MongoDB + Sendbird

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List messages with Sendbird API on New Database from MongoDB API

MongoDB + Sendbird

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List messages with Sendbird API on New Document from MongoDB API

MongoDB + Sendbird

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List messages with Sendbird API on New Field in Document from MongoDB API

MongoDB + Sendbird

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Send message with Sendbird API on New Collection from MongoDB API

MongoDB + Sendbird

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Popular Sendbird 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 Sendbird and MongoDB Actions#

List messages with the Sendbird API

Retrieves a list of past messages of a specific channel. 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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Send message with the Sendbird API

Sends a message to a channel. 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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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Overview of Sendbird#

The Sendbird API provides programmatic access to advanced chat features, enabling the creation and management of in-app messaging for community forums, customer support, or any other chat-based interaction. By leveraging the Sendbird API on Pipedream, you can automate user management, message and channel handling, and event tracking. Pipedream's serverless platform simplifies these automations, offering a way to integrate chat functionalities with other services, trigger workflows from chat events, and handle real-time data processing without writing extensive infrastructure code.

Connect Sendbird#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendbird: {
      type: "app",
      app: "sendbird",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://gate.sendbird.com/api/v2/applications`,
      headers: {
        "SENDBIRDORGANIZATIONAPITOKEN": `${this.sendbird.$auth.organization_api_key}`,
        "Content-Type": `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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