爬取B站彈幕並且製作詞雲

目錄

• 爬取彈幕
  • 1. 從手機埠進入網頁爬取找到介面
  • 2.代碼
• 製作詞雲
  • 1.文件讀取
  • 2.代碼

爬取彈幕

1. 從手機埠進入網頁爬取找到介面

2.代碼

import requests
from lxml import etree
import numpy as np
url='https://api.bilibili.com/x/v1/dm/list.so?oid=198835779'
headers= {
    'User-Agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Mobile Safari/537.36',
     }
response = requests.get(url,headers= headers)
# response.encoding='utf-8'
# print(response.text)
# print(response.content)
print(type(response.text))
html=etree.HTML(response.content)
t=etree.tostring(html)
# print(t)
words = html.xpath('/html//d/text()')
with open('word.txt','w')as f:
    for word in words:
        f.write(word+' ')
print(words)

每一次的都是不同的彈幕所以不用擔心彈幕數量過少

製作詞雲

利用的是wordcloud庫

1.文件讀取

2.代碼

#coding:utf-8


from matplotlib import pyplot as plt
from wordcloud import WordCloud
import jieba
f=open(r'word.txt','r',encoding='gbk').read()
font = r'C:\Windows\Fonts\FZSTK.TTF'

cloud=WordCloud(
    font_path=font,
    width=1000,
    height=800,
    margin=2
).generate(f)

plt.imshow(cloud)
plt.axis('off')
plt.show()