简介

Python标准库中提供了:urllib、urllib2、httplib等模块以供Http请求,但是,它的 API 太渣了。它是为另一个时代、另一个互联网所创建的。它需要巨量的工作,甚至包括各种方法覆盖,来完成最简单的任务。

Requests 是使用 Apache2 Licensed 许可证的 基于Python开发的HTTP 库,其在Python内置模块的基础上进行了高度的封装,从而使得Pythoner进行网络请求时,变得美好了许多,使用Requests可以轻而易举的完成浏览器可有的任何操作。


爬虫的本质:模仿浏览器的行为,爬取网页信息。

请求的方法

1、GET请求

# 1、无参数实例import requestsret = requests.get('https://github.com/timeline.json')print ret.url
print ret.text# 2、有参数实例import requestspayload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.get("http://httpbin.org/get", params=payload)print ret.url
print ret.text

2、POST请求

# 1、基本POST实例import requestspayload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.post("http://httpbin.org/post", data=payload)print ret.text# 2、发送请求头和数据实例import requests
import jsonurl = 'https://api.github.com/some/endpoint'
payload = {'some': 'data'}
headers = {'content-type': 'application/json'}ret = requests.post(url, data=json.dumps(payload), headers=headers)print ret.text
print ret.cookies

3、其他请求

requests.get(url, params=None, **kwargs)
requests.post(url, data=None, json=None, **kwargs)
requests.put(url, data=None, **kwargs)
requests.head(url, **kwargs)
requests.delete(url, **kwargs)
requests.patch(url, data=None, **kwargs)
requests.options(url, **kwargs)# 以上方法均是在此方法的基础上构建
requests.request(method, url, **kwargs)

请求的参数

常见参数

1  url
2  headers
3  cookies
4  params
5  data,传请求体requests.post(...,data={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\n\r\nuser=alex&pwd=1236  json,传请求体requests.post(...,json={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\nContent-Type:application/json\r\n\r\n{"user":"alex","pwd":123}
7 代理 proxies# 无验证proxie_dict = {"http": "61.172.249.96:80","https": "http://61.185.219.126:3128",}ret = requests.get("https://www.proxy360.cn/Proxy", proxies=proxie_dict)# 验证代理from requests.auth import HTTPProxyAuthproxyDict = {'http': '77.75.105.165','https': '77.75.106.165'}auth = HTTPProxyAuth('用户名', '密码')r = requests.get("http://www.google.com",data={'xxx':'ffff'} proxies=proxyDict, auth=auth)print(r.text)
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8 文件上传 files# 发送文件file_dict = {'f1': open('xxxx.log', 'rb')}requests.request(method='POST',url='http://127.0.0.1:8000/test/',files=file_dict)9 认证 auth内部:用户名和密码,用户和密码加密,放在请求头中传给后台。- "用户:密码"- base64("用户:密码")- "Basic base64("用户|密码")"- 请求头:Authorization: "basic base64("用户|密码")"from requests.auth import HTTPBasicAuth, HTTPDigestAuthret = requests.get('https://api.github.com/user', auth=HTTPBasicAuth('wupeiqi', 'sdfasdfasdf'))print(ret.text)10 超时 timeout# ret = requests.get('http://google.com/', timeout=1)# print(ret)# ret = requests.get('http://google.com/', timeout=(5, 1))# print(ret)11 允许重定向  allow_redirectsret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)print(ret.text)12 大文件下载 streamfrom contextlib import closingwith closing(requests.get('http://httpbin.org/get', stream=True)) as r1:# 在此处理响应。for i in r1.iter_content():print(i)13 证书 cert- 百度、腾讯 => 不用携带证书(系统帮你做了)- 自定义证书requests.get('http://127.0.0.1:8000/test/', cert="xxxx/xxx/xxx.pem")requests.get('http://127.0.0.1:8000/test/', cert=("xxxx/xxx/xxx.pem","xxx.xxx.xx.key"))
14 确认 verify =False

关于auth认证

认证 auth浏览器的弹窗认证,在浏览器中内部:用户名和密码,用户和密码加密,放在请求头中传给后台。- "用户:密码"- base64("用户:密码")- "Basic base64("用户:密码")"- 请求头:Authorization: "basic base64("用户:密码")"request的 HTTPBasicAuth帮助做以上操作from requests.auth import HTTPBasicAuth, HTTPDigestAuthret = requests.get('https://api.github.com/user', auth=HTTPBasicAuth('wupeiqi', 'sdfasdfasdf'))print(ret.text)

def param_method_url():ret=requests.request(method='get', url='http://127.0.0.1:8000/test/')ret=requests.request(method='post', url='http://127.0.0.1:8000/test/')

method

import requests  requests.get(url='http://127.0.0.1:8000/test/',params={'k1': 'v1', 'k2': 'v2'})#他的本质与requests.get(url='xxxxx?k1=v1&k2=v2')

params

  # 可以是字典# 可以是字符串# 可以是字节# 可以是文件对象# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# data={'k1': 'v1', 'k2': '水电费'})# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# data="k1=v1; k2=v2; k3=v3; k3=v4"# )# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# data="k1=v1;k2=v2;k3=v3;k3=v4",# headers={'Content-Type': 'application/x-www-form-urlencoded'}# )# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# data=open('data_file.py', mode='r', encoding='utf-8'), # 文件内容是:k1=v1;k2=v2;k3=v3;k3=v4# headers={'Content-Type': 'application/x-www-form-urlencoded'}# )

data

#如果请求体是 payload的话则需要传入json格式
requests.request(method='POST',url='http://127.0.0.1:8000/test/',json={'k1': 'v1', 'k2': '水电费'})

json

ret1 = requests.get(url='https://dig.chouti.com/',headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'}   )
ret1_cookies = ret1.cookies.get_dict()
#获取的ret1.cookies是访问该url返回的cookies对象
#通过get_dict()获取到字典类型的cookies

cookies

  # 发送请求头到服务器端requests.request(method='POST',url='http://127.0.0.1:8000/test/',json={'k1': 'v1', 'k2': '水电费'},headers={'Content-Type': 'application/x-www-form-urlencoded'})#具体需要什么请求头要看服务器端

header

 # 发送文件# file_dict = {# 'f1': open('readme', 'rb')# }# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# files=file_dict)# 发送文件,定制文件名# file_dict = {# 'f1': ('test.txt', open('readme', 'rb'))# }# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# files=file_dict)# 发送文件,定制文件名# file_dict = {# 'f1': ('test.txt', "hahsfaksfa9kasdjflaksdjf")# }# requests.request(method='POST',# url='http://127.0.0.1:8000/test/',# files=file_dict)# 发送文件,定制文件名# file_dict = {#     'f1': ('test.txt', "hahsfaksfa9kasdjflaksdjf", 'application/text', {'k1': '0'})# }# requests.request(method='POST',#                  url='http://127.0.0.1:8000/test/',#                  files=file_dict)pass

files

 设置超时时间,如果访问超过超时时间就停止访问
# ret = requests.get('http://google.com/', timeout=1)# print(ret)# ret = requests.get('http://google.com/', timeout=(5, 1))# print(ret)pass

timeout

#是否允许重定向,默认为true
ret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)print(ret.text)

allow_redirects

BeautifulSoup

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 import BeautifulSouphtml_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
asdf<div class="title"><b>The Dormouse's story总共</b><h1>f</h1></div>
<div class="story">Once upon a time there were three little sisters; and their names were<a  class="sister0" id="link1">Els<span>f</span>ie</a>,<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</div>
ad<br/>sf
<p class="story">...</p>
</body>
</html>
"""soup = BeautifulSoup(html_doc, 'html.parse')
# 找到第一个a标签
tag1 = soup.find(name='a')
# 找到所有的a标签
tag2 = soup.find_all(name='a')
# 找到id=link2的标签
tag3 = soup.select('#link2')

安装:

pip3 install beautifulsoup4

1. name,标签名称

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

2. attr,标签属性

# 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,所有子子孙孙标签

# 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)

6. decompose,递归的删除所有的标签

# body = soup.find('body')
# body.decompose()
# print(soup)

7. extract,递归的删除所有的标签,并获取删除的标签

# body = soup.find('body')
# v = body.extract()
# print(soup)

8. decode,转换为字符串(含当前标签);decode_contents(不含当前标签)

# body = soup.find('body')
# v = body.decode()
# v = body.decode_contents()
# print(v)

9. encode,转换为字节(含当前标签);encode_contents(不含当前标签)

# body = soup.find('body')
# v = body.encode()
# v = body.encode_contents()
# print(v)

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)

14. index,检查标签在某标签中的索引位置

# tag = soup.find('body')
# v = tag.index(tag.find('div'))
# print(v)# tag = soup.find('body')
# for i,v in enumerate(tag):
# print(i,v)

   

15. is_empty_element,是否是空标签(是否可以是空)或者自闭合标签,

判断是否是如下标签:'br' , 'hr', 'input', 'img', 'meta','spacer', 'link', 'frame', 'base'

# tag = soup.find('br')
# v = tag.is_empty_element
# 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

18. select,select_one, CSS选择器

soup.select("title")soup.select("p nth-of-type(3)")soup.select("body a")soup.select("html head title")tag = soup.select("span,a")soup.select("head > title")soup.select("p > a")soup.select("p > a:nth-of-type(2)")soup.select("p > #link1")soup.select("body > a")soup.select("#link1 ~ .sister")soup.select("#link1 + .sister")soup.select(".sister")soup.select("[class~=sister]")soup.select("#link1")soup.select("a#link2")soup.select('a[href]')soup.select('a[href="http://example.com/elsie"]')soup.select('a[href^="http://example.com/"]')soup.select('a[href$="tillie"]')soup.select('a[href*=".com/el"]')from bs4.element import Tagdef default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator)
print(type(tags), tags)from bs4.element import Tag
def default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator, limit=1)
print(type(tags), tags)

19. 标签的内容

# tag = soup.find('span')
# print(tag.string)          # 获取
# tag.string = 'new content' # 设置
# print(soup)# tag = soup.find('body')
# print(tag.string)
# tag.string = 'xxx'
# print(soup)# tag = soup.find('body')
# v = tag.stripped_strings  # 递归内部获取所有标签的文本
# print(v)

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)

25. wrap,将指定标签把当前标签包裹起来

# from bs4.element import Tag
# obj1 = Tag(name='div', attrs={'id': 'it'})
# obj1.string = '我是一个新来的'
#
# tag = soup.find('a')
# v = tag.wrap(obj1)
# print(soup)# tag = soup.find('a')
# v = tag.wrap(soup.find('p'))
# print(soup

26. unwrap,去掉当前标签,将保留其包裹的标签

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

更多参数官方:http://beautifulsoup.readthedocs.io/zh_CN/v4.4.0/

一大波"自动登陆"示例

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import requests# ############## 方式一 ##############
"""
# ## 1、首先登陆任何页面,获取cookie
i1 = requests.get(url="http://dig.chouti.com/help/service")
i1_cookies = i1.cookies.get_dict()# ## 2、用户登陆,携带上一次的cookie,后台对cookie中的 gpsd 进行授权
i2 = requests.post(url="http://dig.chouti.com/login",data={'phone': "8615131255089",'password': "xxooxxoo",'oneMonth': ""},cookies=i1_cookies
)# ## 3、点赞(只需要携带已经被授权的gpsd即可)
gpsd = i1_cookies['gpsd']
i3 = requests.post(url="http://dig.chouti.com/link/vote?linksId=8589523",cookies={'gpsd': gpsd}
)print(i3.text)
"""# ############## 方式二 ##############
"""
import requestssession = requests.Session()
i1 = session.get(url="http://dig.chouti.com/help/service")
i2 = session.post(url="http://dig.chouti.com/login",data={'phone': "8615131255089",'password': "xxooxxoo",'oneMonth': ""}
)
i3 = session.post(url="http://dig.chouti.com/link/vote?linksId=8589523"
)
print(i3.text)"""抽屉新热榜

抽屉新热榜

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requests+BeautifulSoup详解
简介Python标准库中提供了:urllib、urllib2、httplib等模块以供Http请求,但是,它的 API 太渣了。它是为另一个时代、另一个互联网所创建的。它需要巨量的工作,甚至包括各种方法覆盖,来完成最简单的任务。Requests 是使用 Apache2 Licensed 许可证的 基于Python开发的HTTP 库,其在Python内置模块的基础上进行了高度的封装,从而使得Pythoner进行网络请求时,变得美好了许多,使用Requests可以轻而易举的完成浏览器可有的任何操作。
请求的方法
1、GET请求
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20# 1、无参数实例import requestsret = requests.get('https://github.com/timeline.json')print ret.url
print ret.text# 2、有参数实例import requestspayload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.get("http://httpbin.org/get", params=payload)print ret.url
print ret.text
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23# 1、基本POST实例import requestspayload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.post("http://httpbin.org/post", data=payload)print ret.text# 2、发送请求头和数据实例import requests
import jsonurl = 'https://api.github.com/some/endpoint'
payload = {'some': 'data'}
headers = {'content-type': 'application/json'}ret = requests.post(url, data=json.dumps(payload), headers=headers)print ret.text
print ret.cookies
3、其他请求
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requests.post(url, data=None, json=None, **kwargs)
requests.put(url, data=None, **kwargs)
requests.head(url, **kwargs)
requests.delete(url, **kwargs)
requests.patch(url, data=None, **kwargs)
requests.options(url, **kwargs)# 以上方法均是在此方法的基础上构建
requests.request(method, url, **kwargs)
请求的参数
常见参数
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921  url
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3  cookies
4  params
5  data,传请求体requests.post(...,data={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\n\r\nuser=alex&pwd=1236  json,传请求体requests.post(...,json={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\nContent-Type:application/json\r\n\r\n{"user":"alex","pwd":123}
7 代理 proxies# 无验证proxie_dict = {"http": "61.172.249.96:80","https": "http://61.185.219.126:3128",}ret = requests.get("https://www.proxy360.cn/Proxy", proxies=proxie_dict)# 验证代理from requests.auth import HTTPProxyAuthproxyDict = {'http': '77.75.105.165','https': '77.75.106.165'}auth = HTTPProxyAuth('用户名', '密码')r = requests.get("http://www.google.com",data={'xxx':'ffff'} proxies=proxyDict, auth=auth)print(r.text)
-----------------------------------------------------------------------------------------
8 文件上传 files# 发送文件file_dict = {'f1': open('xxxx.log', 'rb')}requests.request(method='POST',url='http://127.0.0.1:8000/test/',files=file_dict)9 认证 auth内部:用户名和密码,用户和密码加密,放在请求头中传给后台。- "用户:密码"- base64("用户:密码")- "Basic base64("用户|密码")"- 请求头:Authorization: "basic base64("用户|密码")"from requests.auth import HTTPBasicAuth, HTTPDigestAuthret = requests.get('https://api.github.com/user', auth=HTTPBasicAuth('wupeiqi', 'sdfasdfasdf'))print(ret.text)10 超时 timeout# ret = requests.get('http://google.com/', timeout=1)# print(ret)# ret = requests.get('http://google.com/', timeout=(5, 1))# print(ret)11 允许重定向  allow_redirectsret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)print(ret.text)12 大文件下载 streamfrom contextlib import closingwith closing(requests.get('http://httpbin.org/get', stream=True)) as r1:# 在此处理响应。for i in r1.iter_content():print(i)13 证书 cert- 百度、腾讯 => 不用携带证书(系统帮你做了)- 自定义证书requests.get('http://127.0.0.1:8000/test/', cert="xxxx/xxx/xxx.pem")requests.get('http://127.0.0.1:8000/test/', cert=("xxxx/xxx/xxx.pem","xxx.xxx.xx.key"))
14 确认 verify =False更多参数
参数列表参数示例官方文档:http://cn.python-requests.org/zh_CN/latest/user/quickstart.html#id4
BeautifulSoupBeautifulSoup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。
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28from bs4 import BeautifulSouphtml_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
asdf<div class="title"><b>The Dormouse's story总共</b><h1>f</h1></div>
<div class="story">Once upon a time there were three little sisters; and their names were<a  class="sister0" id="link1">Els<span>f</span>ie</a>,<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</div>
ad<br/>sf
<p class="story">...</p>
</body>
</html>
"""soup = BeautifulSoup(html_doc, features="lxml")
# 找到第一个a标签
tag1 = soup.find(name='a')
# 找到所有的a标签
tag2 = soup.find_all(name='a')
# 找到id=link2的标签
tag3 = soup.select('#link2')安装:
1pip3 install beautifulsoup4使用示例:
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11from bs4 import BeautifulSouphtml_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>...
</body>
</html>
"""soup = BeautifulSoup(html_doc, features="lxml")1. name,标签名称
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5# tag = soup.find('a')
# name = tag.name # 获取
# print(name)
# tag.name = 'span' # 设置
# print(soup)2. attr,标签属性
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6# 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
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2# body = soup.find('body')
# v = body.children4. children,所有子子孙孙标签
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2# body = soup.find('body')
# v = body.descendants5. clear,将标签的所有子标签全部清空(保留标签名)
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3# tag = soup.find('body')
# tag.clear()
# print(soup)6. decompose,递归的删除所有的标签
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3# body = soup.find('body')
# body.decompose()
# print(soup)7. extract,递归的删除所有的标签,并获取删除的标签
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3# body = soup.find('body')
# v = body.extract()
# print(soup)8. decode,转换为字符串(含当前标签);decode_contents(不含当前标签)
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4# body = soup.find('body')
# v = body.decode()
# v = body.decode_contents()
# print(v)9. encode,转换为字节(含当前标签);encode_contents(不含当前标签)
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# v = body.encode()
# v = body.encode_contents()
# print(v)10. find,获取匹配的第一个标签
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# 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
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54# 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
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3# tag = soup.find('a')
# v = tag.has_attr('id')
# print(v)13. get_text,获取标签内部文本内容
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3# tag = soup.find('a')
# v = tag.get_text('id')
# print(v)14. index,检查标签在某标签中的索引位置
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7# tag = soup.find('body')
# v = tag.index(tag.find('div'))
# print(v)# tag = soup.find('body')
# for i,v in enumerate(tag):
# print(i,v)15. is_empty_element,是否是空标签(是否可以是空)或者自闭合标签,判断是否是如下标签:'br' , 'hr', 'input', 'img', 'meta','spacer', 'link', 'frame', 'base'
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3# tag = soup.find('br')
# v = tag.is_empty_element
# print(v)16. 当前的关联标签
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16# 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.parents17. 查找某标签的关联标签
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# 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_all18. select,select_one, CSS选择器
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67soup.select("title")soup.select("p nth-of-type(3)")soup.select("body a")soup.select("html head title")tag = soup.select("span,a")soup.select("head > title")soup.select("p > a")soup.select("p > a:nth-of-type(2)")soup.select("p > #link1")soup.select("body > a")soup.select("#link1 ~ .sister")soup.select("#link1 + .sister")soup.select(".sister")soup.select("[class~=sister]")soup.select("#link1")soup.select("a#link2")soup.select('a[href]')soup.select('a[href="http://example.com/elsie"]')soup.select('a[href^="http://example.com/"]')soup.select('a[href$="tillie"]')soup.select('a[href*=".com/el"]')from bs4.element import Tagdef default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator)
print(type(tags), tags)from bs4.element import Tag
def default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator, limit=1)
print(type(tags), tags)19. 标签的内容
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# print(tag.string)          # 获取
# tag.string = 'new content' # 设置
# print(soup)# tag = soup.find('body')
# print(tag.string)
# tag.string = 'xxx'
# print(soup)# tag = soup.find('body')
# v = tag.stripped_strings  # 递归内部获取所有标签的文本
# print(v)20.append在当前标签内部追加一个标签
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# 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
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# 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
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7# 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
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6# 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
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4# tag = soup.find('div')
# a = soup.find('a')
# tag.setup(previous_sibling=a)
# print(tag.previous_sibling)25. wrap,将指定标签把当前标签包裹起来
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# obj1 = Tag(name='div', attrs={'id': 'it'})
# obj1.string = '我是一个新来的'
#
# tag = soup.find('a')
# v = tag.wrap(obj1)
# print(soup)# tag = soup.find('a')
# v = tag.wrap(soup.find('p'))
# print(soup)26. unwrap,去掉当前标签,将保留其包裹的标签
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# v = tag.unwrap()
# print(soup)

更多参数官方:http://beautifulsoup.readthedocs.io/zh_CN/v4.4.0/
一大波"自动登陆"示例
按 Ctrl+C 复制代码
按 Ctrl+C 复制代码
复制代码#!/usr/bin/env python
# -*- coding:utf-8 -*-import requests
from bs4 import BeautifulSoup# ############## 方式一 ##############
#
# # 1. 访问登陆页面,获取 authenticity_token
# i1 = requests.get('https://github.com/login')
# soup1 = BeautifulSoup(i1.text, features='lxml')
# tag = soup1.find(name='input', attrs={'name': 'authenticity_token'})
# authenticity_token = tag.get('value')
# c1 = i1.cookies.get_dict()
# i1.close()
#
# # 1. 携带authenticity_token和用户名密码等信息,发送用户验证
# form_data = {# "authenticity_token": authenticity_token,
#     "utf8": "",
#     "commit": "Sign in",
#     "login": "wupeiqi@live.com",
#     'password': 'xxoo'
# }
#
# i2 = requests.post('https://github.com/session', data=form_data, cookies=c1)
# c2 = i2.cookies.get_dict()
# c1.update(c2)
# i3 = requests.get('https://github.com/settings/repositories', cookies=c1)
#
# soup3 = BeautifulSoup(i3.text, features='lxml')
# list_group = soup3.find(name='div', class_='listgroup')
#
# from bs4.element import Tag
#
# for child in list_group.children:
#     if isinstance(child, Tag):
#         project_tag = child.find(name='a', class_='mr-1')
#         size_tag = child.find(name='small')
#         temp = "项目:%s(%s); 项目路径:%s" % (project_tag.get('href'), size_tag.string, project_tag.string, )
#         print(temp)# ############## 方式二 ##############
# session = requests.Session()
# # 1. 访问登陆页面,获取 authenticity_token
# i1 = session.get('https://github.com/login')
# soup1 = BeautifulSoup(i1.text, features='lxml')
# tag = soup1.find(name='input', attrs={'name': 'authenticity_token'})
# authenticity_token = tag.get('value')
# c1 = i1.cookies.get_dict()
# i1.close()
#
# # 1. 携带authenticity_token和用户名密码等信息,发送用户验证
# form_data = {#     "authenticity_token": authenticity_token,
#     "utf8": "",
#     "commit": "Sign in",
#     "login": "wupeiqi@live.com",
#     'password': 'xxoo'
# }
#
# i2 = session.post('https://github.com/session', data=form_data)
# c2 = i2.cookies.get_dict()
# c1.update(c2)
# i3 = session.get('https://github.com/settings/repositories')
#
# soup3 = BeautifulSoup(i3.text, features='lxml')
# list_group = soup3.find(name='div', class_='listgroup')
#
# from bs4.element import Tag
#
# for child in list_group.children:
#     if isinstance(child, Tag):
#         project_tag = child.find(name='a', class_='mr-1')
#         size_tag = child.find(name='small')
#         temp = "项目:%s(%s); 项目路径:%s" % (project_tag.get('href'), size_tag.string, project_tag.string, )
#         print(temp)

复制代码
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github

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import timeimport requests
from bs4 import BeautifulSoupsession = requests.Session()i1 = session.get(url='https://www.zhihu.com/#signin',headers={'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',}
)soup1 = BeautifulSoup(i1.text, 'lxml')
xsrf_tag = soup1.find(name='input', attrs={'name': '_xsrf'})
xsrf = xsrf_tag.get('value')current_time = time.time()
i2 = session.get(url='https://www.zhihu.com/captcha.gif',params={'r': current_time, 'type': 'login'},headers={'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',})with open('zhihu.gif', 'wb') as f:f.write(i2.content)captcha = input('请打开zhihu.gif文件,查看并输入验证码:')
form_data = {"_xsrf": xsrf,'password': 'xxooxxoo',"captcha": 'captcha','email': '424662508@qq.com'
}
i3 = session.post(url='https://www.zhihu.com/login/email',data=form_data,headers={'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',}
)i4 = session.get(url='https://www.zhihu.com/settings/profile',headers={'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',}
)soup4 = BeautifulSoup(i4.text, 'lxml')
tag = soup4.find(id='rename-section')
nick_name = tag.find('span',class_='name').string
print(nick_name)知乎

知乎

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import re
import requestsall_cookie = {}# ############### 1. 查看登录页面 ###############
r1 = requests.get(url='https://passport.lagou.com/login/login.html',headers={'Host': 'passport.lagou.com','User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
)all_cookie.update(r1.cookies.get_dict())X_Anti_Forge_Token = re.findall(r"window.X_Anti_Forge_Token = '(.*?)'", r1.text, re.S)[0]
X_Anti_Forge_Code = re.findall(r"window.X_Anti_Forge_Code = '(.*?)'", r1.text, re.S)[0]# ############### 2. 用户名密码登录 ###############
r2 = requests.post(url='https://passport.lagou.com/login/login.json',headers={'Host': 'passport.lagou.com','Referer': 'https://passport.lagou.com/login/login.html','X-Anit-Forge-Code': X_Anti_Forge_Code,'X-Anit-Forge-Token': X_Anti_Forge_Token,'X-Requested-With': 'XMLHttpRequest','User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36','Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',},data={'isValidate': True,'username': '15131255089','password': 'ab18d270d7126ea65915cc22c0d','request_form_verifyCode': '','submit': '',},cookies=r1.cookies.get_dict()
)all_cookie.update(r2.cookies.get_dict())# ############### 3. 用户授权 ###############
r3 = requests.get(url='https://passport.lagou.com/grantServiceTicket/grant.html',headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},allow_redirects=False,cookies=all_cookie)all_cookie.update(r3.cookies.get_dict())# ############### 4. 用户认证 ###############
r4 = requests.get(url=r3.headers['Location'],headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},allow_redirects=False,cookies=all_cookie
)all_cookie.update(r4.cookies.get_dict())r5 = requests.get(url=r4.headers['Location'],headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},allow_redirects=False,cookies=all_cookie
)
all_cookie.update(r5.cookies.get_dict())
r6 = requests.get(url=r5.headers['Location'],headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},allow_redirects=False,cookies=all_cookie
)all_cookie.update(r6.cookies.get_dict())
r7 = requests.get(url=r6.headers['Location'],headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},allow_redirects=False,cookies=all_cookie
)all_cookie.update(r7.cookies.get_dict())# ############### 5. 查看个人页面 ###############
r5 = requests.get(url='https://www.lagou.com/resume/myresume.html',headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'},cookies=all_cookie
)
print('武沛齐' in r5.text)# ############### 6. 查看 ###############
r6 = requests.get(url='https://gate.lagou.com/v1/neirong/account/users/0/',headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36','X-L-REQ-HEADER': "{deviceType:1}",'Origin': 'https://account.lagou.com','Host': 'gate.lagou.com',},cookies=all_cookie)
r6_json = r6.json()
all_cookie.update(r6.cookies.get_dict())# ############### 7. 修改个人信息 ###############
r7 = requests.put(url='https://gate.lagou.com/v1/neirong/account/users/0/',headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36','Origin': 'https://account.lagou.com','Host': 'gate.lagou.com','X-Anit-Forge-Code': r6_json['submitCode'],'X-Anit-Forge-Token': r6_json['submitToken'],'X-L-REQ-HEADER': "{deviceType:1}",},cookies=all_cookie,json={"userName": "wupeiqi888", "sex": "MALE", "portrait": "images/myresume/default_headpic.png","positionName": '...', "introduce": '....'}
)
print(r7.text)

拉勾网

Python标准库中提供了:urllib、urllib2、httplib等模块以供Http请求,但是,它的 API 太渣了。它是为另一个时代、另一个互联网所创建的。它需要巨量的工作,甚至包括各种方法覆盖,来完成最简单的任务。Requests 是使用 Apache2 Licensed 许可证的 基于Python开发的HTTP 库,其在Python内置模块的基础上进行了高度的封装,从而使得Pythoner进行网络请求时,变得美好了许多,使用Requests可以轻而易举的完成浏览器可有的任何操作。
请求的方法
1、GET请求
# 1、无参数实例
import requests
ret = requests.get('https://github.com/timeline.json')
print ret.url
print ret.text
# 2、有参数实例
import requests
payload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.get("http://httpbin.org/get", params=payload)
print ret.url
print ret.text
2、POST请求
# 1、基本POST实例
import requests
payload = {'key1': 'value1', 'key2': 'value2'}
ret = requests.post("http://httpbin.org/post", data=payload)
print ret.text
# 2、发送请求头和数据实例
import requests
import json
url = 'https://api.github.com/some/endpoint'
payload = {'some': 'data'}
headers = {'content-type': 'application/json'}ret = requests.post(url, data=json.dumps(payload), headers=headers)print ret.text
print ret.cookies
3、其他请求
requests.get(url, params=None, **kwargs)
requests.post(url, data=None, json=None, **kwargs)
requests.put(url, data=None, **kwargs)
requests.head(url, **kwargs)
requests.delete(url, **kwargs)
requests.patch(url, data=None, **kwargs)
requests.options(url, **kwargs)# 以上方法均是在此方法的基础上构建
requests.request(method, url, **kwargs)
请求的参数
常见参数urlheaderscookiesparamsdata,传请求体requests.post(...,data={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\n\r\nuser=alex&pwd=123json,传请求体requests.post(...,json={'user':'alex','pwd':'123'})GET /index http1.1\r\nhost:c1.com\r\nContent-Type:application/json\r\n\r\n{"user":"alex","pwd":123}
代理 proxies# 无验证proxie_dict = {"http": "61.172.249.96:80","https": "http://61.185.219.126:3128",}ret = requests.get("https://www.proxy360.cn/Proxy", proxies=proxie_dict)# 验证代理from requests.auth import HTTPProxyAuthproxyDict = {'http': '77.75.105.165','https': '77.75.106.165'}auth = HTTPProxyAuth('用户名', '密码')r = requests.get("http://www.google.com",data={'xxx':'ffff'} proxies=proxyDict, auth=auth)print(r.text)
-----------------------------------------------------------------------------------------
文件上传 files# 发送文件file_dict = {'f1': open('xxxx.log', 'rb')}requests.request(method='POST',url='http://127.0.0.1:8000/test/',files=file_dict)
认证 auth内部:用户名和密码,用户和密码加密,放在请求头中传给后台。- "用户:密码"- base64("用户:密码")- "Basic base64("用户|密码")"- 请求头:Authorization: "basic base64("用户|密码")"from requests.auth import HTTPBasicAuth, HTTPDigestAuthret = requests.get('https://api.github.com/user', auth=HTTPBasicAuth('wupeiqi', 'sdfasdfasdf'))print(ret.text)
超时 timeout# ret = requests.get('http://google.com/', timeout=1)# print(ret)# ret = requests.get('http://google.com/', timeout=(5, 1))# print(ret)
允许重定向  allow_redirectsret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)print(ret.text)
大文件下载 streamfrom contextlib import closingwith closing(requests.get('http://httpbin.org/get', stream=True)) as r1:# 在此处理响应。for i in r1.iter_content():print(i)
证书 cert- 百度、腾讯 => 不用携带证书(系统帮你做了)- 自定义证书requests.get('http://127.0.0.1:8000/test/', cert="xxxx/xxx/xxx.pem")requests.get('http://127.0.0.1:8000/test/', cert=("xxxx/xxx/xxx.pem","xxx.xxx.xx.key"))
确认 verify =False更多参数
参数列表参数示例官方文档:http://cn.python-requests.org/zh_CN/latest/user/quickstart.html#id4
BeautifulSoup
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 import BeautifulSouphtml_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
asdf<div class="title"><b>The Dormouse's story总共</b><h1>f</h1></div>
<div class="story">Once upon a time there were three little sisters; and their names were<a  class="sister0" id="link1">Els<span>f</span>ie</a>,<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</div>
ad<br/>sf
<p class="story">...</p>
</body>
</html>
"""soup = BeautifulSoup(html_doc, features="lxml")
# 找到第一个a标签
tag1 = soup.find(name='a')
# 找到所有的a标签
tag2 = soup.find_all(name='a')
# 找到id=link2的标签
tag3 = soup.select('#link2')安装:pip3 install beautifulsoup4使用示例:from bs4 import BeautifulSouphtml_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>...
</body>
</html>
"""soup = BeautifulSoup(html_doc, features="lxml")1. name,标签名称# tag = soup.find('a')
# name = tag.name # 获取
# print(name)
# tag.name = 'span' # 设置
# print(soup)2. attr,标签属性# 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.children4. children,所有子子孙孙标签# body = soup.find('body')
# v = body.descendants5. 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)6. decompose,递归的删除所有的标签# body = soup.find('body')
# body.decompose()
# print(soup)7. extract,递归的删除所有的标签,并获取删除的标签# body = soup.find('body')
# v = body.extract()
# print(soup)8. decode,转换为字符串(含当前标签);decode_contents(不含当前标签)
# body = soup.find('body')
# v = body.decode()
# v = body.decode_contents()
# print(v)9. encode,转换为字节(含当前标签);encode_contents(不含当前标签)# body = soup.find('body')
# v = body.encode()
# v = body.encode_contents()
# print(v)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)14. index,检查标签在某标签中的索引位置# tag = soup.find('body')
# v = tag.index(tag.find('div'))
# print(v)# tag = soup.find('body')
# for i,v in enumerate(tag):
# print(i,v)15. is_empty_element,是否是空标签(是否可以是空)或者自闭合标签,判断是否是如下标签:'br' , 'hr', 'input', 'img', 'meta','spacer', 'link', 'frame', 'base'# tag = soup.find('br')
# v = tag.is_empty_element
# 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.parents17. 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_all18. select,select_one, CSS选择器soup.select("title")soup.select("p nth-of-type(3)")soup.select("body a")soup.select("html head title")tag = soup.select("span,a")soup.select("head > title")soup.select("p > a")soup.select("p > a:nth-of-type(2)")soup.select("p > #link1")soup.select("body > a")soup.select("#link1 ~ .sister")soup.select("#link1 + .sister")soup.select(".sister")soup.select("[class~=sister]")soup.select("#link1")soup.select("a#link2")soup.select('a[href]')soup.select('a[href="http://example.com/elsie"]')soup.select('a[href^="http://example.com/"]')soup.select('a[href$="tillie"]')soup.select('a[href*=".com/el"]')from bs4.element import Tagdef default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator)
print(type(tags), tags)from bs4.element import Tag
def default_candidate_generator(tag):for child in tag.descendants:if not isinstance(child, Tag):continueif not child.has_attr('href'):continueyield childtags = soup.find('body').select("a", _candidate_generator=default_candidate_generator, limit=1)
print(type(tags), tags)19. 标签的内容
# tag = soup.find('span')
# print(tag.string)          # 获取
# tag.string = 'new content' # 设置
# print(soup)# tag = soup.find('body')
# print(tag.string)
# tag.string = 'xxx'
# print(soup)# tag = soup.find('body')
# v = tag.stripped_strings  # 递归内部获取所有标签的文本
# print(v)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
2
4
6# 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)25. wrap,将指定标签把当前标签包裹起来# from bs4.element import Tag
# obj1 = Tag(name='div', attrs={'id': 'it'})
# obj1.string = '我是一个新来的'
#
# tag = soup.find('a')
# v = tag.wrap(obj1)
# print(soup)# tag = soup.find('a')
# v = tag.wrap(soup.find('p'))
# print(soup)26. unwrap,去掉当前标签,将保留其包裹的标签# tag = soup.find('a')
# v = tag.unwrap()
# print(soup)

更多参数官方:http://beautifulsoup.readthedocs.io/zh_CN/v4.4.0/
一大波"自动登陆"示例#!/usr/bin/env python
# -*- coding:utf-8 -*-import requests
from bs4 import BeautifulSoup# ############## 方式一 ##############
#
# # 1. 访问登陆页面,获取 authenticity_token
# i1 = requests.get('https://github.com/login')
# soup1 = BeautifulSoup(i1.text, features='lxml')
# tag = soup1.find(name='input', attrs={'name': 'authenticity_token'})
# authenticity_token = tag.get('value')
# c1 = i1.cookies.get_dict()
# i1.close()
#
# # 1. 携带authenticity_token和用户名密码等信息,发送用户验证
# form_data = {# "authenticity_token": authenticity_token,
#     "utf8": "",
#     "commit": "Sign in",
#     "login": "wupeiqi@live.com",
#     'password': 'xxoo'
# }
#
# i2 = requests.post('https://github.com/session', data=form_data, cookies=c1)
# c2 = i2.cookies.get_dict()
# c1.update(c2)
# i3 = requests.get('https://github.com/settings/repositories', cookies=c1)
#
# soup3 = BeautifulSoup(i3.text, features='lxml')
# list_group = soup3.find(name='div', class_='listgroup')
#
# from bs4.element import Tag
#
# for child in list_group.children:
#     if isinstance(child, Tag):
#         project_tag = child.find(name='a', class_='mr-1')
#         size_tag = child.find(name='small')
#         temp = "项目:%s(%s); 项目路径:%s" % (project_tag.get('href'), size_tag.string, project_tag.string, )
#         print(temp)# ############## 方式二 ##############
# session = requests.Session()
# # 1. 访问登陆页面,获取 authenticity_token
# i1 = session.get('https://github.com/login')
# soup1 = BeautifulSoup(i1.text, features='lxml')
# tag = soup1.find(name='input', attrs={'name': 'authenticity_token'})
# authenticity_token = tag.get('value')
# c1 = i1.cookies.get_dict()
# i1.close()
#
# # 1. 携带authenticity_token和用户名密码等信息,发送用户验证
# form_data = {#     "authenticity_token": authenticity_token,
#     "utf8": "",
#     "commit": "Sign in",
#     "login": "wupeiqi@live.com",
#     'password': 'xxoo'
# }
#
# i2 = session.post('https://github.com/session', data=form_data)
# c2 = i2.cookies.get_dict()
# c1.update(c2)
# i3 = session.get('https://github.com/settings/repositories')
#
# soup3 = BeautifulSoup(i3.text, features='lxml')
# list_group = soup3.find(name='div', class_='listgroup')
#
# from bs4.element import Tag
#
# for child in list_group.children:
#     if isinstance(child, Tag):
#         project_tag = child.find(name='a', class_='mr-1')
#         size_tag = child.find(name='small')
#         temp = "项目:%s(%s); 项目路径:%s" % (project_tag.get('href'), size_tag.string, project_tag.string, )
#         print(temp)

防止xss攻击

from bs4 import BeautifulSoup
class XSSFilter(object):__instance = Nonedef __init__(self):        # XSS白名单self.valid_tags = {"font": ['color', 'size', 'face', 'style'],'b': [],'div': [],"span": [],"table": ['border', 'cellspacing', 'cellpadding'],'th': ['colspan', 'rowspan'],'td': ['colspan', 'rowspan'],"a": ['href', 'target', 'name'],"img": ['src', 'alt', 'title'],'p': ['align'],"pre": ['class'],"hr": ['class'],'strong': []}def __new__(cls, *args, **kwargs):if not cls.__instance:obj = object.__new__(cls, *args, **kwargs)cls.__instance = objreturn cls.__instancedef process(self, content):soup = BeautifulSoup(content, 'html.parser')        # 遍历所有HTML标签for tag in soup.find_all():        # 判断标签名是否在白名单中if tag.name not in self.valid_tags:tag.hidden = Trueif tag.name not in ['html', 'body']:tag.hidden = Truetag.clear()continue                    # 当前标签的所有属性白名单attr_rules = self.valid_tags[tag.name]keys = list(tag.attrs.keys())for key in keys:if key not in attr_rules:del tag[key]return soup.decode()                    #这里返回的就是过滤完的内容

content="""
<p class='c1' id='i1'>asdfaa<span style="font-family:NSimSun;" class='c1'>sdf<a>a</a>sdf</span>sdf
</p>
<p><strong class='c2' id='i2'>asdf</strong><script>alert(123)</script>
</p>
<h2>asdf
</h2>
"""content = XSSFilter().process(content)
print('content',content)

View Code

总结:

  1. 如果爬取的网站有反爬措施,请求里模仿浏览器发给服务器端
  2. 如果需要需要携带信息过去的
    1. 去服务器返回的内容里找.如果有将他格式化成字典或其他保存在session
    2. 看到159900098这样格式的一般都是时间戳,但是位数需要自己 观察
    3. 如果服务器返回的内容里没有key,那么去html或者js找相应的数据
    4. 可能下一次的操作需要携带着上一次服务器发过来的key或其他
  3. 状态码:
    1. 3开头的状态码是自动跳转.在自动跳转的时候可能进行cookies认证
    2. 注意Response request 里的set-cookies参数
   

转载于:https://www.cnblogs.com/weidaijie/p/10441382.html

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