python 解析snmp python 解析网页

网页获取用的是requests包，网页解析的方式有re与beautifulsoup两种。

1.网页获取：

import requests

url="https://dblp.uni-trier.de/search/publ/api?q=heterogeneous%20graph%20year%3A2021%3A%7Cyear%3A2020%3A%20venue%3AInf._Sci.%3A&h=1000&format=xml"
response = requests.get(url) # 获取网页响应
encoding = response.apparent_encoding
response.encoding = encoding  # 设置字符集
#解析数据
print(response.text)  # 打印网页xml代码

2.网页解析：

import re

obj = re.compile(r'<hit.*?pid=".*?">(?P<name>.*?)</author>.*?<title>(?P<title>.*?)</title><venue>(?P<venue>.*?)</venue><volume>(?P<volume>.*?)</volume><pages>(?P<pages>.*?)</pages><year>(?P<year>.*?)</year>.*?<doi>(?P<doi>.*?)</doi><ee>(?P<ee>.*?)</ee>',re.S)
result = obj.finditer(xml)
for it in result:
    list[i].append(it.group("name"))
print("firstAuthor：" + it.group("name"))  # 第一作者
    list[i].append(it.group("title"))
print("title："+it.group("title")) #标题
    if it.group("venue")!=None:
        list[i].append(it.group("venue"))
print("venue：" + it.group("venue"))
    list[i].append(it.group("volume"))
print("volume：" + it.group("volume"))
    list[i].append(it.group("pages"))
print("pages："+it.group("pages"))
    list[i].append(it.group("year"))
print("year："+it.group("year"))
    list[i].append(it.group("doi"))
print("doi："+it.group("doi"))
    list[i].append(it.group("ee"))
print("ee："+it.group("ee"))
print(list)