爬取哔哩哔哩网站弹幕

爬取哔哩哔哩网站弹幕

打开哔哩哔哩官网 https://www.bilibili.com/

首先获取它的cid

打开想爬取弹幕视频，然后查看源代码

然后获取用户代理信息

然后去爬取

"""

pip install pandas

pip install bs4

pip install requests

pip install lxml

"""

 

import requests

from bs4 import BeautifulSoup

import pandas as pd

import datetime

import re

 

header = {

    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.120 Safari/537.36'

}

url = ' http://comment.bilibili.com/106015992.xml'

response = requests.get(url=url, headers=header)    # 向对方服务器发送请求

response.encoding = response.apparent_encoding  # 设置字符编码

data = response.text    # 获取文本

soup = BeautifulSoup(data, 'lxml')  # pip install lxml  解析

d_list = soup.find_all('d')     # 获取所有的d标签

 

dlst = []

for d in d_list:    # 循环拿出所有的d标签

    danmu = {}

    danmu['弹幕'] = d.text    # 获取文本信息

    danmu['时间'] = datetime.datetime.now()

    danmu['路径'] = url

    dlst.append(danmu)

df = pd.DataFrame(dlst)  # 转换成二维数组，类似于execl表格

f = open('sign.txt', 'w', encoding='utf-8')  # 打开文件

for i in (df['弹幕']).values:     # 循环所有的文本信息

    pat = re.compile(r'[一-龥]+')     # 定义过滤数据的规则，所有的汉字

    filter_data = re.findall(pattern=pat, string=i)     # 执行过滤操作

    f.write("".join(filter_data))   # 写入文本

f.close()

 

上面的操作会把爬取到的弹幕保存在本地一个名字为sign.txt的文件

然后将上面保存的txt文件以词云形式展示

 

"""

pip install pandas

pip install bs4

pip install requests

pip install lxml

"""

 

import requests

from bs4 import BeautifulSoup

import pandas as pd

import datetime

import re

import jieba

from wordcloud import WordCloud

from matplotlib.image import imread

import matplotlib.pyplot as plt

import numpy as np

 

# header = {

#     'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.120 Safari/537.36'

# }

# url = ' http://comment.bilibili.com/106015992.xml'

# response = requests.get(url=url, headers=header)    # 向对方服务器发送请求

# response.encoding = response.apparent_encoding  # 设置字符编码

# data = response.text    # 获取文本

# soup = BeautifulSoup(data, 'lxml')  # pip install lxml  解析

# d_list = soup.find_all('d')     # 获取所有的d标签

#

# dlst = []

# for d in d_list:    # 循环拿出所有的d标签

#     danmu = {}

#     danmu['弹幕'] = d.text    # 获取文本信息

#     danmu['时间'] = datetime.datetime.now()

#     danmu['路径'] = url

#     dlst.append(danmu)

# df = pd.DataFrame(dlst)  # 转换成二维数组，类似于execl表格

# f = open('sign.txt', 'w', encoding='utf-8')  # 打开文件

# for i in (df['弹幕']).values:     # 循环所有的文本信息

#     pat = re.compile(r'[一-龥]+')     # 定义过滤数据的规则，所有的汉字

#     filter_data = re.findall(pattern=pat, string=i)     # 执行过滤操作

#     f.write("".join(filter_data))   # 写入文本

# f.close()

f = open('sign.txt', 'r', encoding='utf8')

data = f.read()

result = " ".join(jieba.lcut(data))

f.close()

color_mask = imread('demo=jpg.jpg')

wc = WordCloud(

    font_path=r'C:\Windows\Fonts\STXINGKA.TTF',

    width=1000,

    height=800,

    mask=color_mask

)

wc.generate(result)

wc.to_file('bili.jpg')

plt.imread(wc)

plt.show()

 

得到的效果为