写给我无聊看的，python爬取CSDN博客标题和摘要出现的最多字，我都不知道我想干什么

一、分析网页

这个网站是动态加载的数据，我们不墨迹，直接抓包

在这里插入图片描述

https://blog.csdn.net/community/home-api/v1/get-business-list?page=1&size=20&businessType=lately&noMore=false&username=Yxh666
https://blog.csdn.net/community/home-api/v1/get-business-list?page=2&size=20&businessType=lately&noMore=false&username=Yxh666
https://blog.csdn.net/community/home-api/v1/get-business-list?page=3&size=20&businessType=lately&noMore=false&username=Yxh666

注意到这个URL地址是只有 page 是变化的，那我们直接更换页数就可抓取内容

二、技术点

用到的技术
requests、jieba、wordcloud、matplotlib、numpy、PIL
学习侧重点
对于jieba和wordcloud模块的使用，以及对动态加载网页获取数据

三、代码编写

爬虫代码：

python">import requests
import time
import random


class CsdnSpider:
    def __init__(self):
        self.url = 'https://blog.csdn.net/community/home-api/v1/get-business-list?page={}&size=20&businessType=blog&orderby=&noMore=false&username=Yxh666'
        # 写入txt文件
        self.f = open('bolg.txt', 'w', encoding='utf8')

    def get_html(self, url):
        headers = {
            'user-agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.106 Safari/537.36',
        }
        _html = requests.get(url=url, headers=headers).json()
        self.parse_html(_html)

    def parse_html(self, _html):
        result_data = _html['data']['list']

        for res in result_data:
            item = {}
            item['title'] = res['title']
            item['description'] = res['description'].replace("\t", "").replace(' ', '').replace('\xa0', '').replace(
                '\u2003', '').replace('...', '') # 去除一些换行之类的符号
            item['diggCount'] = res['diggCount']
            item['commentCount'] = res['commentCount']
            item['viewCount'] = res['viewCount']
            item['url'] = res['url']
            print(item)
            self.f.write(item['title'])
            self.f.write(item['description'])
            self.f.write("\n")

    def run(self):

        for i in range(1, 6):
            page_url = self.url.format(i)
            self.get_html(url=page_url)
            time.sleep(random.randint(2, 4))
        self.f.close()


if __name__ == '__main__':
    spider = CsdnSpider()
    spider.run()

生成词云代码：
pip install jieba
pip install wordcloud

python">import jieba
from matplotlib import pyplot  as plt
import wordcloud as wc
from PIL import Image
import numpy as np


with open("bolg.txt", "r", encoding="utf-8") as f:
    content = f.read()

res = jieba.lcut(content)
text = " ".join(res)
# 读取图片，用图片展示
mask = np.array(Image.open("logo.jpeg"))

# SimHei.ttf 为字体，要显示中文必须有字体，没有的话去下载一下
word_cloud = wc.WordCloud(font_path="SimHei.ttf", mask=mask)
word_cloud.generate(text)

# 保存云词图片
word_cloud.to_file("blog.png")

plt.imshow(word_cloud)
plt.show()
print(text)