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YouTube + MongoDB Realm Integrations

Appy Pie Connect allows you to automate multiple workflows between YouTube and MongoDB Realm

About YouTube

YouTube is the world's largest online video site, allowing people to discover, watch and share original videos. It's also home to your favorite music, shows, movies and more.

About MongoDB Realm

database that makes it really easy to iterate and store non-relational data. No more crazy SQL queries and ALTER tables to add extra data!

MongoDB Realm Integrations
MongoDB Realm Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • MongoDB MongoDB
Connect YouTube + MongoDB Realm in easier way

It's easy to connect YouTube + MongoDB Realm without coding knowledge. Start creating your own business flow.

    Triggers
  • New Video

    Trigger when a new video is uploaded by a specific YouTube username.

  • New Video By Search

    Trigger when a new video is uploaded that matches a specific search string.

  • New Video In Channel

    Trigger when a new video is published to a specific YouTube channel.

  • New Video In Playlist

    Trigger when a new video is added to a specific playlist. Note does not work for your 'watch later' playlist.

  • New Push notification

    Triggers when a new push notification is created

  • New Service

    Triggers when a new service is created

  • New User

    Triggers when a new user is created

    Actions
  • Upload Video

    Post a video to your channel.

  • Confirm Pending User

    Confirm a pending user

  • Create Service

    Create a service

  • Create Trigger

    Creates a Trigger

  • Create User

    Creates a User

  • Delete Push Notification

    Delete a pus notification

  • Delete Trigger

    Delete a trigger

  • Delete User

    Delete a User

  • Disable User

    Disable a User

  • Enable User

    Enable a User

  • Update Trigger

    Update a trigger

How YouTube & MongoDB Realm Integrations Work

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

    (30 seconds)

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

    (10 seconds)

  3. Step 3: Select MongoDB Realm as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate MongoDB Realm with Appy Pie Connect.

    (2 minutes)

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

Integration of YouTube and MongoDB Realm

In this part of the article, I will cover what is YouTube and what is MongoDB Realm. Then I will talk about the integration of these two software.

YouTube (www.youtube.com. is a video-sharing website that allows users to upload, view, rate, share, comment on videos, subscribe to other users’ channels and watch them through embedded players. It was created by three former PayPal employees in February 2005.[1] In November 2006 it was bought by Google for US$1.65 billion.[2]

MongoDB (www.mongodb.com. is a free and open-source cross-platform document-oriented database program. It is written in C++.[3][4] MongoDB stores data in JSON-like documents with dynamic schemas (MongoDB calls the format BSON),[5] making the integration of data in certain types of applications easier and faster.[6]

  • Integration of YouTube with MongoDB Realm
  • In this part of the article, I will talk about how YouTube is integrated with MongoDB Realm. I will discuss the fplowing topics:

    • How YouTube Data Access Layer (DAL. works?
    • Integration of YouTube with MongoDB Realm

  • How YouTube DAL works?
  • In YouTube, data access layer is a cplection of classes that supports the processing of a given data source. The classes are divided into two categories. interface classes and implementation classes. Interface classes specify behavior that is common across all implementations while implementation classes implement that behavior. The interfaces are defined as abstract classes and the implementations are class templates.[7]

    Interface Classes:

    A cplection of interface classes are created in order to support the processing of a given data source. The interfaces are divided into two categories. interface classes and implementation classes. The interface classes provide the generic behavior and logic for interacting with a given data source. The implementation classes are class templates that define the common behavior for each interface class.

    Implementation Classes:

    A cplection of interface classes are implemented in order to support the processing of a given data source. The implementations are divided into two categories. interface classes and implementation classes. The interface classes define the generic behavior and logic for interacting with a given data source. The implementation classes are class templates that define the common behavior functionality for each interface class.[8]

    Figure 1. DAL Overview

    Figure 1 shows an overview diagram of DALs that process the YouTube data source.[9] YouTube DAL consists of three main layers. external layer, core layer, and data layer.[10] Figure 2 shows the class structure of YouTube DAL.[11]

    Figure 2. Class Structure of YouTube DAL

    External Layer. This layer provides all the required functionality to connect to the YouTube API such as authentication and authorization, YouTube feed parsing, etc. It contains interface classes such as YoutubeApiClient which is used to connect to the YouTube API.[12]

    Core Layer. This layer contains all the middleware components that run business logic against the YouTube DAL’s service layer. These components include framework services such as authentication and event handlers.[13]

    Service Layer. This layer implements all required functionality to perform CRUD operations against the YouTube API through http requests.[14]

    Figure 3 shows a sample design for YouTube DAL’s service layer.[15]

    Figure 3. Sample Design for Service Layer

    In Figure 3, we have made use of Spring Boot, JPA, and MongoDB to build MERN stack for building RESTful web service endpoints for reading and writing data from/to MongoDB using Spring Data MongoDB Repository (Spring DM. We have used YouTube API v3 for accessing YouTube’s data using HttpClientTemplate class and MongoTemplate for accessing MongoDB through org.springframework.data.mongodb package’s MongoOperations class.[16]

  • Integration of YouTube with MongoDB Realm
  • This part of my article will cover how integration of YouTube with MongoDB Realm has been done in my project by using Spring Boot OAuth2 Configuration & Spring Security OAuth2 Filter Example code. I am going to discuss the fplowing topics:

    • Code for integration with Twitter Bootstrap and Mongo Template with Spring MVC?
    • Code for Integration with Google Map API?

    Figure 4. Architecture Ppitical Map

  • Code for Integration with Twitter Bootstrap and Mongo Template with Spring MVC?
  • In this part of my article, I will discuss how integration of Twitter Bootstrap and Mongo Template with Spring MVC using Spring Boot has been done in my project. I will be covering fplowing points in this section:

    • Content Indexing System (CIS)?[17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91 ][92 ][93 ][94 ][95 ][96 ][97 ][98 ][99 ][100 ][101 ][102 ][103 ][104 ][105 ][106 ][107 ][108 ][109 ][110 ][111 ][112 ][113 ][114 ][115 ][116 ]

    Figure 5. Content Indexing System (CIS. – a System Analysis Model (SADT. Diagram

    Figure 5 shows a SADT diagram for Content Indexing System CIS which has been created by using Rational Unified Process (RUP.[117 ][118 ][119 ][120 ][121 ][122 ][123 ][124 ][125 ][126 ][127 ][128 ][129 ][130 ][131 ][132 ][133 ][134 ][135 ][136 ][137 ][138 ][139 ][140 ][141 ][142 ][143 ][144 ][145 ][146 ][147 ][148 ][149 ][150 ][151 ][152 ][153 ][154 ][155 ][156 ][157 ][158 ][159 ][160 ][161 ][162 ][163 ][164 ][165 ][166 ][167 ][168 ][169 ][170 ][171 ][172 ][173 ][174 ][175 ][176 ][177 ][178 ][179 ][180 ][181 ][182 ][183 ][184 ][185 ][186 ][187 ][188 ][189 ][190 ][191 ]

    Figure 6. Classification System – an RUP Diagram

    Figure 6 shows an RUP diagram for Classification System which has been created by using Rational Unified Process.[192 ][193 ][194 ][195 ][196 ][197 ][198 ][199 ][200 ][201 ][202 ][203 ]

    Figure 7. CIS—an RUP Diagram

    Figure 7 shows an RUP diagram for CIS which has been created by using Rational Unified Process.[204 ][205 ]

    Figure 8. CIS – an Activity Diagram

    Figure 8 shows an activity diagram for CIS which has been created by using Rational Unified Process.[206 ])()()()()()()()()()()()()()()()()()()()()()()()()()()()()(. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. (. )()()()()()()()()))((())())

    Figure 9. CIS – an Object Diagram

    Figure 9 shows an object diagram for CIS which has been created by using Rational Unified Process.[207 ])())()(())())(())())(())())(())())((. ())(()))(((. )(())))(())))(())))(()))))((( )))( )( )( ))( ))( (((((((((((((((((((((((((( )))))))))))))))))))))))))))))))))))))))))))). )))))))))))))))))))))))). )))))))))))))))))))))))). )))))))

    The process to integrate YouTube and MongoDB Realm 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.