requests
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
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# 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
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# 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 requestsimport 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.textprint ret.cookies |
3、其他请求
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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) |
4、更多参数
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]>
"""
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/')
pass
def param_param():
# - 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'))
pass
def param_data():
# 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'}
# )
pass
def param_json():
# 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-urlencoded'}
)
def param_cookies():
# 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='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')
# }
# 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
def param_auth():
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-auth/auth/user/pass', auth=HTTPDigestAuth('user', 'pass'))
# print(ret)
#
def param_timeout():
# ret = requests.get('http://google.com/', timeout=1)
# print(ret)
# ret = requests.get('http://google.com/', timeout=(5, 1))
# print(ret)
pass
def param_allow_redirects():
ret = requests.get('http://127.0.0.1:8000/test/', allow_redirects=False)
print(ret.text)
def param_proxies():
# 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)
pass
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)
def requests_session():
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)
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。
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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：
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pip3 install beautifulsoup4 |
使用示例：
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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
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# 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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# 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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# body = soup.find('body')# v = body.children |
4. children,所有子子孙孙标签
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# 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）
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# tag = soup.find('body')# tag.clear()# print(soup) |
6. decompose,递归的删除所有的标签
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# 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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# 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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# 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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# 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
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# 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
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# 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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# 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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# 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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# 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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# tag = soup.find('br')# v = tag.is_empty_element# print(v) |
16. 当前的关联标签
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# 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
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# 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
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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): continue if not child.has_attr('href'): continue yield childtags = 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 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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# 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
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# 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
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# 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
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# 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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# 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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# 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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# 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
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|
# tag = soup.find('a')# v = tag.unwrap()# print(soup) |