python爬取b站排行榜视频信息

 1 import xlrd#读取excel
 2 import xlwt#写入excel
 3 import requests
 4 import linecache
 5 import wordcloud
 6 import jieba
 7 import matplotlib.pyplot as plt
 8 from bs4 import BeautifulSoup
 9  
10 if __name__=="__main__":
11     f = xlwt.Workbook(encoding=‘utf-8‘) #创建工作簿
12     sheet1 = f.add_sheet(u‘sheet1‘) #创建sheet
13     row0 = [u‘ID‘,u‘name‘,u‘av‘,u‘play_num‘,u‘comment_num‘]
14     #生成第一行
15     for i in range(0,len(row0)):
16         sheet1.write(0,i,row0[i])
17     yun=""
18 
19     n=0#ID编号
20     target=‘https://www.bilibili.com/ranking/all/160/0/3‘#b站
21     user_agent = ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36‘
22     headers = {‘User-Agent‘:user_agent}
23 
24     req=requests.get(url=target)
25     html=req.text
26     html=html.replace(‘<br>‘,‘ ‘).replace(‘<br/>‘,‘ ‘).replace(‘/>‘,‘>‘)
27     bf=BeautifulSoup(html,"html.parser")   
28 
29     texts=bf.find(‘ul‘,class_=‘rank-list‘)
30     texts_div=texts.find_all(‘div‘,class_=‘info‘)
31     #print(texts_div)
32     for item in texts_div:
33         n=n+1
34         item_name=item.find(‘a‘).text#标题
35         yun+=str(item_name)
36         item_href=item.find(‘a‘)[‘href‘]#链接
37         h=item_href.rfind(‘/‘)
38         item_href=item_href[h+1:]
39         item_refer=item.find_all(‘span‘,class_=‘data-box‘)
40         item_refer1=item_refer[0].text
41         item_refer2=item_refer[1].text
42         #print(‘{} {} {} {}\n‘.format(item_name,item_href,item_refer1,item_refer2))
43         mid=[n,item_name,item_href,item_refer1,item_refer2]
44         #print(mid)
45         for i in range(len(row0)):#写入excel
46             sheet1.write(n,i,mid[i])
47     f.save(‘demo1.xls‘) #保存文件
48 
49     # 结巴分词，生成字符串，wordcloud无法直接生成正确的中文词云
50     cut_text = " ".join(jieba.cut(yun))
51     wc = wordcloud.WordCloud(
52     #设置字体，不然会出现口字乱码，文字的路径是电脑的字体一般路径，可以换成别的
53     font_path="C:/Windows/Fonts/simfang.ttf",
54     #设置了背景，宽高
55     background_color="white",width=1000,height=880).generate(cut_text)
56 
57     plt.imshow(wc, interpolation="bilinear")
58     plt.axis("off")
59     plt.show()
60     print("Done!")