1. 安装PyCharm(安装时注意选择python),地址: https://www.jetbrains.com/pycharm/
2. 安装python 地址: https://www.python.org/
3. 打开PyCharm 菜单:File->Settings->Project:x->Project Interpreter
4.以爬虫为例,在上图搜索BeautifulSoup并安装(python3请安装BeautifulSoup4)
实例源码如下,内容来自:https://blog.csdn.net/csdn2497242041/article/details/77170746
from urllib import request from bs4 import BeautifulSoup # Beautiful Soup是一个可以从HTML或XML文件中提取结构化数据的Python库 # 构造头文件,模拟浏览器访问 url = "http://www.jianshu.com" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36'} page = request.Request(url, headers=headers) page_info = request.urlopen(page).read().decode('utf-8') # 打开Url,获取HttpResponse返回对象并读取其ResposneBody # 将获取到的内容转换成BeautifulSoup格式,并将html.parser作为解析器 soup = BeautifulSoup(page_info, 'html.parser') # 以格式化的形式打印html print(soup.prettify()) titles = soup.find_all('a', 'title') # 查找所有a标签中class='title'的语句 ''' # 打印查找到的每一个a标签的string和文章链接 for title in titles: print(title.string) print("http://www.jianshu.com" + title.get('href')) ''' # open()是读写文件的函数,with语句会自动close()已打开文件 with open(r"F:\Python\articles.txt","w",encoding='utf-8') as file: # 在磁盘以只写的方式打开/创建一个名为 articles 的txt文件 for title in titles: file.write(title.string + '\n') file.write("http://www.jianshu.com" + title.get('href') + '\n\n')