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Integrate YouTube with Monkey Learn

Appy Pie Connect allows you to automate multiple workflows between YouTube and Monkey Learn

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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 Monkey Learn

MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.

Monkey Learn Integrations

Best ways to Integrate YouTube + Monkey Learn

  • YouTube Integration Monkey Learn Integration

    YouTube + Monkey Learn

    Classify Text in monkeylearn when New Video By Search is created in YouTube Read More...
    Close
    When this happens...
    YouTube Integration New Video By Search
     
    Then do this...
    Monkey Learn Integration Classify Text
  • YouTube Integration Monkey Learn Integration

    YouTube + Monkey Learn

    Extract Text in monkeylearn when New Video By Search is created in YouTube Read More...
    Close
    When this happens...
    YouTube Integration New Video By Search
     
    Then do this...
    Monkey Learn Integration Extract Text
  • YouTube Integration Monkey Learn Integration

    YouTube + Monkey Learn

    Upload training Data in monkeylearn when New Video By Search is created in YouTube Read More...
    Close
    When this happens...
    YouTube Integration New Video By Search
     
    Then do this...
    Monkey Learn Integration Upload training Data
  • YouTube Integration Monkey Learn Integration

    YouTube + Monkey Learn

    Classify Text in monkeylearn when New Video In Playlist is created in YouTube Read More...
    Close
    When this happens...
    YouTube Integration New Video In Playlist
     
    Then do this...
    Monkey Learn Integration Classify Text
  • YouTube Integration Monkey Learn Integration

    YouTube + Monkey Learn

    Extract Text in monkeylearn when New Video In Playlist is created in YouTube Read More...
    Close
    When this happens...
    YouTube Integration New Video In Playlist
     
    Then do this...
    Monkey Learn Integration Extract Text
  • YouTube Integration {{item.actionAppName}} Integration

    YouTube + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect YouTube + Monkey Learn in easier way

It's easy to connect YouTube + Monkey Learn 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.

    Actions
  • Upload Video

    Post a video to your channel.

  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How YouTube & Monkey Learn Integrations Work

  1. Step 1: Choose YouTube as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Monkey Learn as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from YouTube to Monkey Learn.

    (2 minutes)

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

Integration of YouTube and Monkey Learn

YouTube (www.youtube.com. is one of the most popular websites on the internet with millions of users visiting the website each month. According to Statista, YouTube has 1.9 billion monthly active users worldwide in 2017 (Statista, 2018. The number of people on YouTube continues to grow every year.

Monkey Learn (www.monkey-learn.org. is an open source Machine Learning platform that allows users to create applications with machine learning. Monkey Learn provides several libraries for users to integrate their applications with machine learning. This blog post will focus on how to integrate YouTube and Monkey Learn by using the YouTube Data API (www.youtube.com/yt/about/developers/upload-videos-feeds/.

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Integration of YouTube and Monkey Learn. To start, we need to sign up for a Google Developers account (https://conspe.developers.google.com/?hl=en. After signing up we can enable YouTube Data API by going to “Services” and then choosing “YouTube Data API” under the “APIs and Services” section. We will be able to create an API key by clicking on “Create credentials” and then selecting “API key” as shown below:

Next, we need to create a new Python notebook and insert the fplowing code:

from __future__ import print_function from urllib.request import urlopen import json import requests import time import datetime import numpy as np api_key = '<YOUR API KEY>' def get_video_info(url). video_info = {} try. r = requests.get(url, timeout=10. except. return None if r.status_code == 200. with open('video_info.json', 'w'. as f. f.write(json.dumps(r.content). return video_info else. print('Video not found'. def generate_text(url, max_char). text = [] text_length = 0 while True. if len(text. >= max_char. break line = urlopen(url.readlines(. for i in range(len(line)). text.append(line[i].split('|')[0]. text_length += 1 return ' '.join(text. def main(). start_time = time.time(. youtube = get_video_info(api_key + ' -f 2'.json['items'] videos = [generate_text(u[0], 150. for u in youtube] youtube_ids = [x[0] for x in videos] index1 = videos[0]['id'] index2 = videos[-1]['id'] for x in range(len(youtube_ids)). print("Processing video id ", youtube_ids[x]. try. response = urlopen(api_key + '?t=' + str(x). csv = response.readlines(. csv = csv[1:] csv = csv[:-1] keyword1 = csv[0] category1 = csv[1] keyword2 = csv[2] category2 = csv[3] keyword3 = csv[4] category3 = csv[5] keyword4 = csv[6] category4 = csv[7] keyword5 = csv[8] category5 = csv[9] keywords = ['%s %s' % (keyword1, keyword2)] categories = ['%s %s' % (category1, category2)] videos_lst = [] for x in range(len(youtube_ids)). try. response = urlopen(api_key + '?q=' + str(x. + '&start=' + str(x * 20), timeout=120000. csv = response.readlines(. csv = csv[1:] csv = csv[:-1] keyword1 = csv[0] category1 = csv[1] keyword2 = csv[2] category2 = csv[3] keyword3 = csv[4] category3 = csv[5] keyword4 = csv[6] category4 = csv[7] keyword5 = csv[8] category5 = csv[9] keywords.append(keyword1. categories.append(category1. videos_lst += [(keyword1, keyword2, keyword3, category1, category2, keyword4, category3)] except IndexError. pass if len(videos_lst. != len(youtube_ids). print("Error". return else. try. response = urlopen(api_key + '?q=' + str(len(videos_lst). + '&start=' + str((len(videos_lst)-1. * 20), timeout=120000. result2 = [] result2 += [result for result in response if result['status'] == 200] result2 += [result for result in response if result['status'] != 200] except IndexError. pass try. json_lst = json.loads(result2)[0]['items'] except KeyError. return videos2indexed = {} for x in range(len(result2)). try. videos2indexed[result2[x]['id']]=videos2indexed.get(result2[x]['id'], 0)+1 except KeyError. videos2indexed[result2[x]['id']]=videos2indexed.get(result2[x]['id'], 0)+1 print("Done". print("Total Videos", len(videos). print("Total Videos Index", len(videos2indexed). print("Time ", round((time.time(. - start_time), 3). if __name__ == "__main__". main(. 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 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 from __future__ import print_function from urllib . request import urlopen import json import requests import time import datetime import numpy as np api_key = '<YOUR API KEY>' def get_video_info ( url . . video _ info = { } try . r = requests . get ( url , timeout = 10 . except . return None if r . status _ code == 200 . with open ( 'video_info.json' , 'w' . as f . f . write ( json . dumps ( r . content . . return video _ info else . print ( 'Video not found' . def generate _ text ( url , max _ char . . text = [ ] text _ length = 0 while True . if len ( text . & gt ;= max _ char . break line = urlopen ( url . . readlines ( . for i in range ( len ( line . . . text . append ( line [ i ] . split ( '|' . [ 0 ] . text _ length += 1 return '' . join ( text . def main ( . . start _ time = time . time ( . youtube = get _ video _ info ( api _ key + ' -f 2' . . json [ 'items' ] videos = [ generate _ text ( u [ 0 ] , 150 . for u in youtube ] youtube _ ids = [ x [ 0 ] for x in videos ] index1 = videos [ 0 ] [ 'id' ] index2 = videos [ - 1 ] [ 'id' ] for x in range ( len ( youtube _ ids . . . print ( "Processing video id " , youtube _ ids [ x ] . try . response = urlopen ( api _ key + '?t=' + str ( x . . csv = response . readlines ( . csv = csv [ 1 . ] csv = csv [ :

The process to integrate YouTube and Monkey Learn 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.