Slack Bot

Interact with Slack with your own bot user

Integrate the Slack Bot API with the MongoDB API

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

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Add Emoji Reaction with Slack Bot API on New Collection from MongoDB API
MongoDB + Slack Bot
 
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Add Emoji Reaction with Slack Bot API on New Database from MongoDB API
MongoDB + Slack Bot
 
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Add Emoji Reaction with Slack Bot API on New Document from MongoDB API
MongoDB + Slack Bot
 
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Add Emoji Reaction with Slack Bot API on New Field in Document from MongoDB API
MongoDB + Slack Bot
 
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Archive Channel with Slack Bot API on New Collection from MongoDB API
MongoDB + Slack Bot
 
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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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New Direct Message from the Slack Bot API

Emit new event when a message is posted in a direct message channel (Bot). To open a conversation, use the Pipedream Action "Send a Direct Message" to send a message from the Bot, or enable direct messages to the Bot in your App Settings (Settings->App Home->Show Tabs->Messages Tab), and send a direct message to the Bot.

 
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Add Emoji Reaction with the Slack Bot API

Add an emoji reaction to a message. 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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Archive Channel with the Slack Bot API

Archive a channel (Bot). 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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Create a Channel with the Slack Bot API

Create a new channel (Bot). See the documentation

 
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Overview of Slack Bot

The Slack Bot API allows you to build rich, interactive bots for Slack workspaces. These bots can respond to messages, post updates, and interact with users in various ways. With the Slack Bot API on Pipedream, developers can create automated workflows that trigger on specific events in Slack, such as new messages or reactions, and then perform defined actions, like sending data to other apps or processing the information within Pipedream's serverless platform. This tight integration with Pipedream enables both simple and complex automations, leveraging Pipedream's ability to connect with numerous apps and its powerful built-in code steps.

Connect Slack Bot

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slack_bot: {
      type: "app",
      app: "slack_bot",
    },
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slack.com/api/auth.test`,
      headers: {
        Authorization: `Bearer ${this.slack_bot.$auth.bot_token}`,
      },
      method: 'post',
    })
  },
})

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

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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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Adyen logo
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LinkedIn logo
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