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""" |
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fetches the captions from each video uploaded on a particular youtube channel |
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by channel_id and then writes it in a json file as with title, index and transcript data |
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""" |
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from dotenv import load_dotenv |
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import logging |
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logging.basicConfig(filename='youtube_fetch.log', level=logging.ERROR) |
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load_dotenv() |
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import timeit |
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start_time = timeit.default_timer() |
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import os |
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os.chdir('d:/Machine Learning/SLM-Project/Data Collection/') |
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api_key = os.getenv('yt_secret_key') |
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from googleapiclient.discovery import build |
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from youtube_transcript_api import TranscriptsDisabled, YouTubeTranscriptApi |
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youtube = build('youtube', 'v3', developerKey=api_key) |
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import json |
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file_path = 'channel_ids.json' |
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with open(file_path, 'r') as file: |
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channelData = json.load(file) |
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videoNo = 0 |
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for links in channelData: |
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next_page_token = None |
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vid_json = [] |
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while True: |
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channelRes = youtube.channels().list( |
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part='contentDetails', id=links |
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).execute() |
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if 'items' in channelRes and channelRes['items']: |
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playlistId = channelRes['items'][0]['contentDetails']['relatedPlaylists']['uploads'] |
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playlistResult = youtube.playlistItems().list( |
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part='contentDetails', playlistId=playlistId, |
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maxResults = 50, pageToken = next_page_token |
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).execute() |
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for item in playlistResult.get('items', []): |
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video_response = youtube.videos().list( |
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part='snippet', |
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id=[item['contentDetails']['videoId']] |
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).execute() |
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title = video_response['items'][0]['snippet']['title'] |
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id = item['contentDetails']['videoId'] |
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videoUrl = f"https://www.youtube.com/watch?v={id}" |
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try: |
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captions = YouTubeTranscriptApi.get_transcript( |
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id, languages=['en'], preserve_formatting=True |
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) |
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if captions: |
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formatted_captions = [{caption['text']} for caption in captions] |
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raw_transcripts = ' '.join(caption.pop() for caption in formatted_captions) |
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else: |
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continue |
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except TranscriptsDisabled as e: |
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print(F"There was an error while getting the captions: {e}") |
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except Exception as e: |
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logging.error(f"There was some error while fetching the video: {str(e)}") |
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video_data = {'title': title, 'video_id': id, 'captions': str(raw_transcripts)} |
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videoNo += 1 |
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vid_json.append(video_data) |
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print(f"no of video with valid captions: {videoNo}") |
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next_page_token = playlistResult.get('nextPageToken') |
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if not next_page_token: |
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break |
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with open('finetune_data.json', 'w') as file: |
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json.dump(vid_json, file, indent=2) |
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end_time = timeit.default_timer() |
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print(f"file written, no of videos fetched were {videoNo}") |
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print(f"time taken to fetch the data {(end_time - start_time) /60} mins") |
