首页 > 代码库 > requests 模块

requests 模块

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。

1、GET请求

# 1、无参数实例  import requests  ret = requests.get(‘https://github.com/timeline.json‘)  print ret.urlprint 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.urlprint 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=http://www.mamicode.com/payload)>

3、其他请求

requests.get(url, params=None, **kwargs)requests.post(url, data=http://www.mamicode.com/None, json=None, **kwargs)>

4、更多参数

技术分享
def request(method, url, **kwargs):    """Constructs and sends a :class:`Request <Request>`.    :param method: method for the new :class:`Request` object.    :param url: URL for the new :class:`Request` object.    :param params: (optional) Dictionary or bytes to be sent in the query string for the :class:`Request`.    :param data: (optional) Dictionary, bytes, or file-like object to send in the body of the :class:`Request`.    :param json: (optional) json data to send in the body of the :class:`Request`.    :param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.    :param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.    :param files: (optional) Dictionary of ``‘name‘: file-like-objects`` (or ``{‘name‘: file-tuple}``) for multipart encoding upload.        ``file-tuple`` can be a 2-tuple ``(‘filename‘, fileobj)``, 3-tuple ``(‘filename‘, fileobj, ‘content_type‘)``        or a 4-tuple ``(‘filename‘, fileobj, ‘content_type‘, custom_headers)``, where ``‘content-type‘`` is a string        defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers        to add for the file.    :param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.    :param timeout: (optional) How long to wait for the server to send data        before giving up, as a float, or a :ref:`(connect timeout, read        timeout) <timeouts>` tuple.    :type timeout: float or tuple    :param allow_redirects: (optional) Boolean. Set to True if POST/PUT/DELETE redirect following is allowed.    :type allow_redirects: bool    :param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.    :param verify: (optional) whether the SSL cert will be verified. A CA_BUNDLE path can also be provided. Defaults to ``True``.    :param stream: (optional) if ``False``, the response content will be immediately downloaded.    :param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, (‘cert‘, ‘key‘) pair.    :return: :class:`Response <Response>` object    :rtype: requests.Response    Usage::      >>> import requests      >>> req = requests.request(‘GET‘, ‘http://httpbin.org/get‘)      <Response [200]>    """
参数列表

 

技术分享
def param_method_url():    # requests.request(method=‘get‘, url=‘http://127.0.0.1:8000/test/‘)    # requests.request(method=‘post‘, url=‘http://127.0.0.1:8000/test/‘)    passdef param_param():    #get请求传的参数,请求头里的参数    # - 可以是字典    # - 可以是字符串    # - 可以是字节(ascii编码以内)    # requests.request(method=‘get‘,    # url=‘http://127.0.0.1:8000/test/‘,    # params={‘k1‘: ‘v1‘, ‘k2‘: ‘水电费‘})    # requests.request(method=‘get‘,    # url=‘http://127.0.0.1:8000/test/‘,    # params="k1=v1&k2=水电费&k3=v3&k3=vv3")    # requests.request(method=‘get‘,    # url=‘http://127.0.0.1:8000/test/‘,    # params=bytes("k1=v1&k2=k2&k3=v3&k3=vv3", encoding=‘utf8‘))    # 错误    # requests.request(method=‘get‘,    # url=‘http://127.0.0.1:8000/test/‘,    # params=bytes("k1=v1&k2=水电费&k3=v3&k3=vv3", encoding=‘utf8‘))    passdef param_data():    #post请求传的参数,请求体里的参数    # 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=http://www.mamicode.com/{‘k1‘: ‘v1‘, ‘k2‘: ‘水电费‘})    # requests.request(method=‘POST‘,    # url=‘http://127.0.0.1:8000/test/‘,    # data="http://www.mamicode.com/k1=v1; k2=v2; k3=v3; k3=v4"    # )    # requests.request(method=‘POST‘,    # url=‘http://127.0.0.1:8000/test/‘,    # data="http://www.mamicode.com/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=http://www.mamicode.com/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‘}    # )    pass#字典中嵌套字典时使用def param_json():    #在请求体里传递的数据    # 将json中对应的数据进行序列化成一个字符串,json.dumps(...)    # 然后发送到服务器端的body中,并且Content-Type是 {‘Content-Type‘: ‘application/json‘}    requests.request(method=POST,                     url=http://127.0.0.1:8000/test/,                     json={k1: v1, k2: 水电费})def param_headers():    # 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-urlencodedUser-Agent: "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36"                                }                     )def param_cookies():    #用cookies做登陆    # 发送Cookie到服务器端    requests.request(method=POST,                     url=http://127.0.0.1:8000/test/,                     data={k1: v1, k2: v2},                     cookies={cook1: value1},                     )    # 也可以使用CookieJar(字典形式就是在此基础上封装)    from http.cookiejar import CookieJar    from http.cookiejar import Cookie    obj = CookieJar()    obj.set_cookie(Cookie(version=0, name=c1, value=http://www.mamicode.com/v1, port=None, domain=‘‘, path=/, secure=False, expires=None,                          discard=True, comment=None, comment_url=None, rest={HttpOnly: None}, rfc2109=False,                          port_specified=False, domain_specified=False, domain_initial_dot=False, path_specified=False)                   )    requests.request(method=POST,                     url=http://127.0.0.1:8000/test/,                     data={k1: v1, k2: v2},                     cookies=obj)def param_files():    # 发送文件    # file_dict = {    # ‘f1‘: open(‘readme‘, ‘rb‘)    #文件对象    # }    # 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‘))    #文件名,文件对象    # }    # 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")    #文件名,文件内容    # }    # 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#基本认知(headers中加入加密的用户名和密码)def param_auth():    #把用户名密码放到请求头    from requests.auth import HTTPBasicAuth, HTTPDigestAuth    ret = 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-    # print(ret)    #    #def __call__(self, r):    #    r.headers[‘Authorization‘] = _basic_auth_str(self.username, self.password)    #    return rdef param_timeout():    #请求和响应的超市时间    # ret = requests.get(‘http://google.com/‘, timeout=1)    # print(ret)    # ret = requests.get(‘http://google.com/‘, timeout=(5, 1))    # print(ret)    passdef param_allow_redirects():    #是否允许重定向,跳转时跟不跟踪    ret = requests.get(http://127.0.0.1:8000/test/, allow_redirects=False)    print(ret.text)def param_proxies():    #代理ip    # proxies = {    # "http": "61.172.249.96:80",    # "https": "http://61.185.219.126:3128",    # }    # proxies = {‘http://10.20.1.128‘: ‘http://10.10.1.10:5323‘}    # ret = requests.get("http://www.proxy360.cn/Proxy", proxies=proxies)    # print(ret.headers)    # from requests.auth import HTTPProxyAuth    #    # proxyDict = {    # ‘http‘: ‘77.75.105.165‘,    # ‘https‘: ‘77.75.105.165‘    # }    # auth = HTTPProxyAuth(‘username‘, ‘mypassword‘)    #    # r = requests.get("http://www.google.com", proxies=proxyDict, auth=auth)    # print(r.text)    passdef param_stream():    #村长下大片,迭代的形式,看一点下一点    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)def requests_session():    #用于保存客户端历史访问信息    import requests    session = requests.Session()    ### 1、首先登陆任何页面,获取cookie    i1 = session.get(url="http://dig.chouti.com/help/service")    ### 2、用户登陆,携带上一次的cookie,后台对cookie中的 gpsd 进行授权    i2 = session.post(        url="http://dig.chouti.com/login",        data={            phone: "8615131255089",            password: "xxxxxx",            oneMonth: ""        }    )    i3 = session.post(        url="http://dig.chouti.com/link/vote?linksId=8589623",    )    print(i3.text)    
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 BeautifulSoup html_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 BeautifulSoup html_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.children

4. descendants,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=http://www.mamicode.com/[‘link1‘,‘link2‘])>

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 Tag def default_candidate_generator(tag):    for child in tag.descendants:        if not isinstance(child, Tag):            continue        if not child.has_attr(‘href‘):            continue        yield child tags = soup.find(‘body‘).select("a", _candidate_generator=default_candidate_generator)print(type(tags), tags) from bs4.element import Tagdef default_candidate_generator(tag):    for child in tag.descendants:        if not isinstance(child, Tag):            continue        if not child.has_attr(‘href‘):            continue        yield child tags = 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

技术分享
import requests# ############## 方式一 ##############"""# ## 1、首先登陆任何页面,获取cookiei1 = 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=http://www.mamicode.com/{"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=http://www.mamicode.com/{"8615131255089",        ‘password‘: "xxooxxoo",        ‘oneMonth‘: ""    })i3 = session.post(    url="http://dig.chouti.com/link/vote?linksId=8589523")print(i3.text)"""
抽屉新热榜
技术分享
import requestsfrom 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 = http://www.mamicode.com/{# "authenticity_token": authenticity_token,#     "utf8": "",#     "commit": "Sign in",#     "login": "wupeiqi@live.com",#     ‘password‘: ‘xxoo‘# }## i2 = requests.post(‘https://github.com/session‘, data=http://www.mamicode.com/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 = http://www.mamicode.com/{#     "authenticity_token": authenticity_token,#     "utf8": "",#     "commit": "Sign in",#     "login": "wupeiqi@live.com",#     ‘password‘: ‘xxoo‘# }## i2 = session.post(‘https://github.com/session‘, data=http://www.mamicode.com/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)
github
技术分享
#!/usr/bin/env python# -*- coding:utf-8 -*-import timeimport requestsfrom 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).stringprint(nick_name)知乎
知乎
技术分享
#!/usr/bin/env python# -*- coding:utf-8 -*-import reimport jsonimport base64import rsaimport requestsdef js_encrypt(text):    b64der = MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCp0wHYbg/NOPO3nzMD3dndwS0MccuMeXCHgVlGOoYyFwLdS24Im2e7YyhB0wrUsyYf0/nhzCzBK8ZC9eCWqd0aHbdgOQT6CuFQBMjbyGYvlVYU2ZP7kG9Ft6YV6oc9ambuO7nPZh+bvXH0zDKfi02prknrScAKC0XhadTHT3Al0QIDAQAB    der = base64.standard_b64decode(b64der)    pk = rsa.PublicKey.load_pkcs1_openssl_der(der)    v1 = rsa.encrypt(bytes(text, utf8), pk)    value = base64.encodebytes(v1).replace(b\n, b‘‘)    value = value.decode(utf8)    return valuesession = requests.Session()i1 = session.get(https://passport.cnblogs.com/user/signin)rep = re.compile("‘VerificationToken‘: ‘(.*)‘")v = re.search(rep, i1.text)verification_token = v.group(1)form_data = {    input1: js_encrypt(wptawy),    input2: js_encrypt(asdfasdf),    remember: False}i2 = session.post(url=https://passport.cnblogs.com/user/signin,                  data=json.dumps(form_data),                  headers={                      Content-Type: application/json; charset=UTF-8,                      X-Requested-With: XMLHttpRequest,                      VerificationToken: verification_token}                  )i3 = session.get(url=https://i.cnblogs.com/EditDiary.aspx)print(i3.text)博客园
博客园

 

requests 模块