|
import os |
|
import json |
|
from dotenv import load_dotenv |
|
from googleapiclient.discovery import build |
|
from youtube_transcript_api import TranscriptsDisabled, YouTubeTranscriptApi |
|
import logging |
|
import timeit |
|
from tqdm import tqdm |
|
|
|
start_time = timeit.default_timer() |
|
logging.basicConfig(filename='youtube_fetch.log', level=logging.ERROR) |
|
load_dotenv() |
|
|
|
api_key = os.getenv('yt_secret_key') |
|
os.chdir("d:/Machine Learning/SLM-Project/") |
|
youtube = build('youtube', 'v3', developerKey=api_key) |
|
|
|
file_path = 'Data Collection/Transcript Collection/channel_ids_snippet.json' |
|
with open(file_path, 'r') as file: |
|
channelData = json.load(file) |
|
|
|
videoNo = 0 |
|
for links in channelData: |
|
next_page_token = None |
|
videoIds = [] |
|
|
|
while True: |
|
channelRes = youtube.channels().list( |
|
part='contentDetails,snippet', id=links |
|
).execute() |
|
if 'items' in channelRes and channelRes['items']: |
|
channel_name = channelRes["items"][0]["snippet"]["title"] |
|
playlistId = channelRes['items'][0]['contentDetails']['relatedPlaylists']['uploads'] |
|
|
|
playlistResult = youtube.playlistItems().list( |
|
part='contentDetails', playlistId=playlistId, |
|
maxResults=100, pageToken=next_page_token |
|
).execute() |
|
|
|
videoIds.extend([item['contentDetails']['videoId'] for item in playlistResult.get('items', [])]) |
|
|
|
next_page_token = playlistResult.get('nextPageToken') |
|
|
|
if not next_page_token: |
|
break |
|
|
|
with tqdm(total=len(videoIds), desc=f"Fetching '{channel_name}' videos") as pbar: |
|
for ids in videoIds: |
|
videoUrl = f"https://www.youtube.com/watch?v={ids}" |
|
try: |
|
raw_transcripts = [] |
|
try: |
|
captions = YouTubeTranscriptApi.get_transcript( |
|
ids, languages=['en'], preserve_formatting=True |
|
) |
|
if captions: |
|
formatted_captions = [{'text': caption['text']} for caption in captions] |
|
raw_transcripts.append(formatted_captions) |
|
videoNo += 1 |
|
pbar.update(1) |
|
else: |
|
continue |
|
except TranscriptsDisabled as e: |
|
continue |
|
except Exception as e: |
|
logging.error(f"There was some error while fetching the video: {str(e)}") |
|
except Exception as e: |
|
logging.error(f"There was some error while getting the captions: {str(e)}") |
|
|
|
with open('Data/caption files/new_data.txt', 'a', encoding='utf-8') as file: |
|
for videoCaptions in raw_transcripts: |
|
for line in videoCaptions: |
|
file.write(line['text'] + ' ') |
|
|
|
print(f"total {videoNo} videos were fetched") |
|
print(f"time taken to execute the code is {(timeit.default_timer() - start_time) / 3600} hrs") |
|
|
