requsets模块和beautifulsoup模块

2.requests模块方法

requests是基于Python开发的HTTP库，使用Requests可以轻而易举的完成浏览器可有的任何操作。

request.get()
request.post()
request.put()
以上方法均是在此方法的基础上构建requests.request(method, url, **kwargs)
- method 包括 psot、get、put等等
- **kwargs 包括常用参数
  - url = ‘’,
  - params = {'k1':'v1','k2','v2'}, # get方法仅限的参数传递方式
  - cookies = {},
  - headers = {}, # 请求头
  - data = {}, # post等请求参数传递
  - json = {}, # json数据参数

2.1 requests.get

requests.get(url='xxx',params={'k1':'v1','nid':888},cookies={},headers={},
)# http://www.baidu.com?k1=v2&nid=888

2.2 requests.post

requests.post(url='xxx',params={'k1':'v1','nid':888},cookies={},# dataheaders={'content-type': 'application/x-www-form-urlencoded'},data={},# json# headers={'content-type': 'application/json'},# json={}
)

其他参数

auth身份验证

def param_auth():from requests.auth import HTTPBasicAuth, HTTPDigestAuthret = requests.get('https://api.github.com/user', auth=HTTPBasicAuth('wupeiqi', 'sdfasdfasdf'))print(ret.text)# ret = requests.get('http://192.168.1.1',# auth=HTTPBasicAuth('admin', 'admin'))# ret.encoding = 'gbk'# print(ret.text)# ret = requests.get('http://httpbin.org/digest-auth/auth/user/pass', auth=HTTPDigestAuth('user', 'pass'))# print(ret)

allow_redirects 重定向（控制是否url跳转）

def param_allow_redirects():ret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)print(ret.text)

stream 流（true相应内容按流式下载）

def param_stream():ret = requests.get('http://127.0.0.1:8000/test/', stream=True)print(ret.content)ret.close()# from contextlib import closing# with closing(requests.get('http://httpbin.org/get', stream=True)) as r:# # 在此处理响应。# for i in r.iter_content():# print(i)

cert 是否携带证书(证书名)

requests.get('http://httpbin.org/get',cert="xxxx.pem")

session

此处的session并非之前所学session，
此处的session，是个容器，携带所有请求头、体等等,
所以，我们每次requests请求时，都需要cookies等手动添加请求中，
利用session可以自动携带cookies、session等信息发送请求

session = requests.Session()
session.post(url,data={}) # 省略cookies=cookie# response_ = requests.post(url,data={},cookies=cookie)

3.BeautifulSoup模块方法

BeautifulSoup是一个模块，该模块用于接收一个HTML或XML字符串，然后将其进行格式化，之后遍可以使用他提供的方法进行快速查找指定元素，从而使得在HTML或XML中查找指定元素变得简单。

from bs4.Element import Tag

1，name 标签名

# tag = soup.find('a')
# name = tag.name # 获取
# print(name)
# tag.name = 'span' # 设置
# print(soup)

2，attr 属性标签

# tag = soup.find('a')
# attrs = tag.attrs    # 获取
# print(attrs)
# tag.attrs = {'ik':123} # 设置
# tag.attrs['id'] = 'iiiii' # 设置
# print(soup)

3，children,所有子标签

# body = soup.find('body')
# v = body.children

4, children,所有后代标签

# body = soup.find('body')
# v = body.descendants

5, clear,将标签的所有子标签全部清空（保留标签名）

# tag = soup.find('body')
# tag.clear()
# print(soup)

10, find,获取匹配的第一个标签

# tag = soup.find('a')
# print(tag)
# tag = soup.find(name='a', attrs={'class': 'sister'}, recursive=True, text='Lacie')
# tag = soup.find(name='a', class_='sister', recursive=True, text='Lacie')
# print(tag)

11, find_all,获取匹配的所有标签

# tags = soup.find_all('a')
# print(tags)# tags = soup.find_all('a',limit=1)
# print(tags)# tags = soup.find_all(name='a', attrs={'class': 'sister'}, recursive=True, text='Lacie')
# # tags = soup.find(name='a', class_='sister', recursive=True, text='Lacie')
# print(tags)# ####### 列表 #######
# v = soup.find_all(name=['a','div'])
# print(v)# v = soup.find_all(class_=['sister0', 'sister'])
# print(v)# v = soup.find_all(text=['Tillie'])
# print(v, type(v[0]))# v = soup.find_all(id=['link1','link2'])
# print(v)# v = soup.find_all(href=['link1','link2'])
# print(v)# ####### 正则 #######
import re
# rep = re.compile('p')
# rep = re.compile('^p')
# v = soup.find_all(name=rep)
# print(v)# rep = re.compile('sister.*')
# v = soup.find_all(class_=rep)
# print(v)# rep = re.compile('http://www.oldboy.com/static/.*')
# v = soup.find_all(href=rep)
# print(v)# ####### 方法筛选 #######
# def func(tag):
# return tag.has_attr('class') and tag.has_attr('id')
# v = soup.find_all(name=func)
# print(v)# ## get,获取标签属性
# tag = soup.find('a')
# v = tag.get('id')
# print(v)

12, has_attr,检查标签是否具有该属性

# tag = soup.find('a')
# v = tag.has_attr('id')
# print(v)

13, get_text,获取标签内部文本内容

# tag = soup.find('a')
# v = tag.get_text('id')
# print(v)

16, 当前的关联标签

# soup.next
# soup.next_element
# soup.next_elements
# soup.next_sibling
# soup.next_siblings#
# tag.previous
# tag.previous_element
# tag.previous_elements
# tag.previous_sibling
# tag.previous_siblings#
# tag.parent
# tag.parents

17, 查找某标签的关联标签

# tag.find_next(...)
# tag.find_all_next(...)
# tag.find_next_sibling(...)
# tag.find_next_siblings(...)# tag.find_previous(...)
# tag.find_all_previous(...)
# tag.find_previous_sibling(...)
# tag.find_previous_siblings(...)# tag.find_parent(...)
# tag.find_parents(...)# 参数同find_all

20, append在当前标签内部追加一个标签

# tag = soup.find('body')
# tag.append(soup.find('a'))
# print(soup)
#
# from bs4.element import Tag
# obj = Tag(name='i',attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# tag.append(obj)
# print(soup)

21, insert在当前标签内部指定位置插入一个标签

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# tag.insert(2, obj)
# print(soup)

22, insert_after,insert_before 在当前标签后面或前面插入

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# # tag.insert_before(obj)
# tag.insert_after(obj)
# print(soup)

23, replace_with 在当前标签替换为指定标签

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('div')
# tag.replace_with(obj)
# print(soup)

24, 创建标签之间的关系

# tag = soup.find('div')
# a = soup.find('a')
# tag.setup(previous_sibling=a)
# print(tag.previous_sibling)

转载于:https://www.cnblogs.com/sunqim16/p/7445511.html