def Youtube_Scrape(api_key, vid):
"""
Scrape metadata details of the video.
"""
yt = YoutubeDataApi(api_key)
TomScott = yt.get_video_metadata(vid)
return TomScott
async def yt(ctx, *, query):
yt = YoutubeDataApi(ytid)
searches = yt.search(str(query), max_results=3)
result = yt.get_video_metadata(
searches[0]["video_id"],
part=['id', 'snippet', 'contentDetails', 'statistics'])
searches.clear()
del yt
url = 'https://www.youtube.com/watch?v=' + result["video_id"]
desc = result["video_description"].split('\n')[0]
if len(desc) > 300:
desc = desc[:300] + "..."
embed = discord.Embed(colour=0xff0000,
title=result["video_title"],
description=desc,
url=url)
embed.set_author(name=result["channel_title"])
embed.set_thumbnail(url=result["video_thumbnail"])
embed.add_field(name="Views",
value=str(result["video_view_count"]),
inline=True)
embed.add_field(name="Comments",
value=str(result["video_comment_count"]),
inline=True)
embed.add_field(name="Duration",
value=str(result["duration"])[2:-1].replace("M",
":").replace(
"H", ":"),
inline=True)
embed.add_field(name="Likes",
value=str(result["video_like_count"]),
inline=True)
embed.add_field(name="Dislikes",
value=str(result["video_dislike_count"]),
inline=True)
embed.set_footer(text=datetime.utcfromtimestamp(
int(result["video_publish_date"])).strftime('%Y-%m-%d %H:%M:%S'))
await ctx.send(embed=embed)
from youtube_api import YoutubeDataApi
import pandas as pd
from utils import API_KEY
from utils import video_metadata_dict
from utils import tags
youtube = YoutubeDataApi(key=API_KEY)
for tag in tags:
try:
videos_df = pd.read_csv('data/{}/videos.csv'.format(tag))
except Exception:
print('Video file doesn\'t exist for tag {}'.format(tag))
continue
videos = videos_df.values.tolist()
metas = []
for video in videos:
metadata = youtube.get_video_metadata(video[0])
metadata = video_metadata_dict(metadata, video)
metas.append(metadata)
video_df = pd.DataFrame(metas)
video_df.to_csv('data/{}/videos.csv'.format(tag), index=False)