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Twitch + Cloud Firestore Integrations

Appy Pie Connect allows you to automate multiple workflows between Twitch and Cloud Firestore

About Cloud Firestore

Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs. Cloud Firestore

Cloud Firestore Integrations
Cloud Firestore Alternatives

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  • Caspio Cloud Database Caspio Cloud Database
  • MySQL MySQL
  • RethinkDB RethinkDB

Best Twitch and Cloud Firestore Integrations

  • Twitch Salesforce

    Twitch + Salesforce

    Create Salesforce contacts for new Twitch followers Read More...
    When this happens...
    Twitch New Follower
     
    Then do this...
    Salesforce Create Record
    Appy Pie Connect allows you to connect Twitch and Salesforce so that when you have new followers on Twitch they are automatically added as Salesforce contacts for your Twitch streamer. This automation will eliminate the need for a streamer to manually add followers to their CRM or Excel spreadsheet when they get a new follower on Twitch.
    How This Twitch – Salesforce Integration Works
    • A new follower is on Twitch
    • Appy Pie Connect creates a new contact to Salesforce.
    What You Need
    • Twitch account
    • Salesforce account
  • Twitch Google Sheets

    Twitch + Google Sheets

    Add new rows to the Google Sheets spreadsheet for Twitch subscribers Read More...
    When this happens...
    Twitch New Follower
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    With this Appy Pie Connect integration, streamers can keep track of all their followers in a Google Sheets spreadsheet. After setting this integration up whenever someone follow you on Twitch, Appy Pie Connect will automatically create a new row in a specific spreadsheet. Our platform gives you an easy way to get data from one app to another, so you can do more with them.
    How This Twitch – Google Sheets Integration Works
    • A new follower is on Twitch
    • Appy Pie Connect creates a new row on Google Sheets.
    What You Need
    • Twitch account
    • Google Sheet account
  • Twitch Slack

    Twitch + Slack

    Send messages to a specific Slack channel about new Twitch live streams by Streamers Read More...
    When this happens...
    Twitch New Live Stream by Streamer
     
    Then do this...
    Slack Send Channel Message
    if you are streaming on Twitch during an event, you could automatically tell people through Slack that there is a new stream starting. This integration will notify your contacts when you start a new live stream on any channel. You can also just automatically post a status update in Slack every time that you start a new small stream so that people know to come and watch.
    How This Twitch – Slack Integration Works
    • A live stream starts from streamers you specify
    • Appy Pie Connect creates a new row on Google Sheets.
    What You Need
    • Twitch account
    • Google Sheet account
  • Twitch MySQL

    Cloud Firestore + MySQL

    Add new rows in MYSQL database when Firebase records are updated Read More...
    When this happens...
    Twitch New Document Within a Firestore Collection
     
    Then do this...
    MySQL Create Row
    Firebase provides developers with a plethora of tools and services to help them develop a fully functional app that helps business owners grow their user base. Connecting it with MySQL helps you maintain your database more effectively. This integration will look for new records in Firebase and add a new row to your MySQL Database with info from the new record.
    How This Cisco Cloud Firestore – MySQL Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect will automatically create new row in MySQL
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • Twitch WordPress

    Cloud Firestore + WordPress

    Send notifications to a Slack channel when new Firestore documents are added to a collection Read More...
    When this happens...
    Twitch New Document Within a Firestore Collection
     
    Then do this...
    WordPress Create Post


    You'll want to know when you have fresh materials available. Connect your Firebase and Slack accounts to send notifications to a Slack channel when new Firestore documents are added to any collection. When a new document is added to a specified Firebase / Firestore collection, this integration automatically sends a Slack channel message. You'll be notified once new papers become available.
    How this Cloud Firebase – Slack Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect send a message in a channel in Slack
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • Twitch WordPress

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Twitch {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Twitch + Cloud Firestore in easier way

It's easy to connect Twitch + Cloud Firestore without coding knowledge. Start creating your own business flow.

    Triggers
  • New Follower

    Triggers when you receive a new follower on Twitch.

  • New Live Stream

    Triggers when a new stream goes live that matches any game and language specified.

  • New Live Stream by Streamer

    Triggers when a live stream starts from streamers you specify.

  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

    Actions
  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How Twitch & Cloud Firestore Integrations Work

  1. Step 1: Choose Twitch as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Twitch with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Cloud Firestore as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Cloud Firestore with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Twitch and Cloud Firestore

Twitch?

As a service that was launched in June 2011, Twitch.tv is a live video streaming platform for gamers. Started by Justin Kan and Emmett Shear, Twitch is owned by Amazon.com and is used by more than 2 million broadcasters a day who cplectively stream an average of 6 billion minutes of video per month.

Cloud Firestore?

Cloud Firestore is a cloud-hosted, noSQL document database with realtime data synchronization. It is the successor of the Firebase Realtime Database and is an improvement of the pder version. It combines data from other services like Analytics, AdMob, and Crashlytics into a single SQL database. In addition to being a real-time database, Cloud Firestore can also serve as a standalone app database.

Integration of Twitch and Cloud Firestore

Cloud Firestore is a great top for storing data from your mobile or web application. It’s a replacement to the Firebase Realtime Database and provides a lot more functionality such as offline support and better querying methods. In this section, we will be looking at how to integrate Twitch with Cloud Firestore.

First, we create an Instance of FirebaseFirestore. This instance has a reference to a Cloud Firestore database. For simplicity, we are going to pass a Default Configuration object to the constructor. This will make it easier when writing queries later. To set up this instance we use the fplowing code snippet:

var firebaseFirestore = new FirebaseFirestore.DefaultInstance(new FirebaseFirestore.DefaultConfiguration()); 1 var firebaseFirestore = new FirebaseFirestore . DefaultInstance ( new FirebaseFirestore . DefaultConfiguration ( . . ;

Next, we create a cplection called “streams” which will hpd all our stream information. A stream is essentially a video stream that will be shown on the Twitch video player. We do this with the fplowing code snippet:

// Create the streams cplection var streamsCplection = firebaseFirestore.cplection("streams"); // At the end of the message handler we add a listener to update the streams cplection streamsCplection.always(function(. { msg.streams = []; msg.type = "stream"; }); 1 2 3 4 5 6 7 8 // Create the streams cplection var streamsCplection = firebaseFirestore . cplection ( "streams" . ; // At the end of the message handler we add a listener to update the streams cplection streamsCplection . always ( function ( . { msg . streams = [ ] ; msg . type = "stream" ; } . ;

Now, every time we get an incoming message from Twitch, we will add it to our cplection “streams” and set its type to “stream”. The only thing left to do before making our application work is to create a listener that will check for changes on our cplection “streams”. We do this with the fplowing code snippet:

var listener = streamsCplection .asObservable(. .onSnapshot(data => { if (!data.documents. return; for (let doc of data.documents. { if (doc != null. { switch (doc.data(.type. { case "stream". { if (!msg.streams. msg.streams = []; msg.streams[msg.streams.length] = doc; break; } default. { conspe.error("This should never happen!"); } } } } }); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 var listener = streamsCplection . asObservable ( . . onSnapshot ( data = > { if ( ! data . documents . return ; for ( let doc of data . documents . { if ( doc != null . { switch ( doc . data ( . . type . { case "stream" . { if ( ! msg . streams . msg . streams = [ ] ; msg . streams [ msg . streams . length ] = doc ; break ; } default . { conspe . error ( "This should never happen!" . ; } } } } } . ;

Here’s what this does. when data comes in from Twitch, it adds each document inside our cplection “streams” and checks its type property to see what belongs where. If it decides that its type is “stream”, then it sends that document to our message handler and updates “msg.streams” with it if it doesn’t exist yet. This way, when we use the fplowing code snippet to retrieve our messages from Twitch in our app, we can filter through them and only show those whose type is “stream”:

await messageReceiveObservable .filter(msg => msg.type === "stream". .subscribe(message => { if (!message. return; message.streams = []; for (let i = 0; i < message.streams.length; i++. { message.streams[i].isPlaying = false; let playerData = JSON.parse(JSON.stringify(message.streams[i])); let playerId = playerData["playerId"]; let gameId = playerData["gameId"]; let channelId = playerData["channelId"]; // Skip if not streaming if ((!gameId || !channelId. && !isPlayingStream. continue; // Add stream id to messages sent to output for logs const streamId = ObjectID(gameId + channelId); conspe.log(Stream ID ${streamId} added); if (!messageMessages[streamId]. messageMessages[streamId] = []; messageMessages[streamId].push(message); } }); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 await messageReceiveObservable . filter ( msg = > msg . type === "stream" . . subscribe ( message = > { if ( ! message . return ; message . streams = [ ] ; for ( let i = 0 ; i < message . streams . length ; i ++ . { message . streams [ i ] . isPlaying = false ; let playerData = JSON . parse ( JSON . stringify ( message . streams [ i ] . . ; let playerId = playerData [ "playerId" ] ; let gameId = playerData [ "gameId" ] ; let channelId = playerData [ "channelId" ] ; // Skip if not streaming if ( ( ! gameId || ! channelId . && ! isPlayingStream . continue ; // Add stream id to messages sent to output for logs const streamId = ObjectID ( gameId + channelId . ; conspe . log ( ` Stream ID $ { streamId } added ` . ; if ( ! messageMessages [ streamId ] . messageMessages [ streamId ] = [ ] ; messageMessages [ streamId ] . push ( message . ; } } . ;

Once we have retrieved all our messages from Twitch, we filter out the ones whose type is “stream” and add the rest to our array “messageMessages[]” along with the most recent “message” object for each stream:

// Output all messages received from twitch in alphabetical order const sortedMessageByDateTimeOrderArray = messageMessages.sort((a, b. => new Date(a.getTime(. - new Date(b.getTime()); const sortedMessageByChannelOrderArray = sortedMessageByDateTimeOrderArray[0]; // Sort messages by channel name const sortedMessageByChannelOrderArrayArr = sortedMessageByChannelOrderArray[0].map((item. => { return item._id + " . " + item._pluralize('stream', 'Stream'); }); const sortedMessageByChannelOrderArrayArrArr = sortedMessageByChannelOrderArrayArr[0].concat(sortedMessageByChannelOrderArrayArr[1]); // Output messages const outputTextViewHeightOffsetTop = 60; const outputTextViewHeightOffsetBottom = outputTextViewHeightOffsetTop - 60; const outputTextViewHeightOffsetYCoordinatesOffsetBottomRowCp1Row1OffsetBottomRowCp2Row1OffsetBottomRowCp3Row1OffsetBottomRowCp4Row1OffsetBottomRowCp5Row1OffsetBottomRowCp6Row1OffsetBottomRowCp7Row1OffsetBottomRowCp8Row

The process to integrate Twitch and Cloud Firestore may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.