Twitch

Twitch is an interactive livestreaming service for content spanning gaming, entertainment, sports, music, and more.

Integrate the Twitch API with the MongoDB API

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

Block User with Twitch API on New Collection from MongoDB API
MongoDB + Twitch
 
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Block User with Twitch API on New Database from MongoDB API
MongoDB + Twitch
 
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Block User with Twitch API on New Document from MongoDB API
MongoDB + Twitch
 
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Block User with Twitch API on New Field in Document from MongoDB API
MongoDB + Twitch
 
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Check Channel Subscription with Twitch API on New Collection from MongoDB API
MongoDB + Twitch
 
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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 Clip By Streamer from the Twitch API

Emit new event when there is a new clip for the specified streamer.

 
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Block User with the Twitch API

Blocks a user; that is, adds a specified target user to your blocks list

 
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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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Check Channel Subscription with the Twitch API

Checks if you are subscribed to the specified user's channel

 
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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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Delete Video with the Twitch API

Deletes a specified video

 
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Overview of Twitch

The Twitch API unlocks a world of possibilities for engaging with live streaming communities and understanding audience behaviors. With Pipedream, you can harness this API to automate many aspects of Twitch interaction and analysis. From tracking stream stats to automating chat messages, the Twitch API lets you create workflows that interact with Twitch's vast live streaming ecosystem. Pipedream's serverless platform streamlines these tasks, making it simple to connect Twitch with other services for enhanced functionalities.

Connect Twitch

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    twitch: {
      type: "app",
      app: "twitch",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.twitch.tv/helix/users`,
      headers: {
        Authorization: `Bearer ${this.twitch.$auth.oauth_access_token}`,
        "Client-ID": `${this.twitch.$auth.oauth_client_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

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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()
  },
})