Requests 是一个 Python 的 HTTP 客户端库。
Request支持HTTP连接保持和连接池,支持使用cookie保持会话,支持文件上传,支持自动响应内容的编码,支持国际化的URL和POST数据自动编码。
在python内置模块的基础上进行了高度的封装从而使得python进行网络请求时,变得人性化,使用Requests可以轻而易举的完成浏览器可有的任何操作。现代,国际化,友好
。
requests会自动实现持久连接keep-alive
开源地址:https://github.com/kennethreitz/requests
中文文档:http://docs.python-requests.org/zh_CN/latest/index.html
目录
一、Requests基础
二、发送请求与接收响应(基本GET请求)
三、发送请求与接收响应(基本POST请求)
四、response属性
五、代理
六、cookie和session
七、案例
一、Requests基础
1.安装Requests库
pip install requests
2.使用Requests库
import requests
二、发送请求与接收响应(基本GET请求)
- response = requests.get(url)
-
1.传送 parmas参数
- 参数包含在url中
- response = requests.get("http://httpbin.org/get?name=zhangsan&age=22")
- print(response.text)
-
- 通过get方法传送参数
- data = {
- "name": "zhangsan",
- "age": 30
- }
- response = requests.get("http://httpbin.org/get", params=data)
- print(response.text)
-
2.模拟发送请求头(传送headers参数)
- headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
- }
- response = requests.get("http://httpbin.org/get", headers=headers)
- print(response.text)
-
三、发送请求与接收响应(基本POST请求)
- response = requests.post(url, data = data, headers=headers)
-
四、response属性
属性 | 描述 |
---|---|
response.text | 获取str类型(Unicode编码)的响应 |
response.content | 获取bytes类型的响应 |
response.status_code | 获取响应状态码 |
response.headers | 获取响应头 |
response.request | 获取响应对应的请求 |
五、代理
- proxies = {
- "http": "https://175.44.148.176:9000",
- "https": "https://183.129.207.86:14002"
- }
- response = requests.get("https://www.baidu.com/", proxies=proxies)
-
六、cookie和session
- 使用的cookie和session好处:很多网站必须登录之后(或者获取某种权限之后)才能能够请求到相关数据。
- 使用的cookie和session的弊端:一套cookie和session往往和一个用户对应.请求太快,请求次数太多,容易被服务器识别为爬虫,从而使账号收到损害。
1.不需要cookie的时候尽量不去使用cookie。
2.为了获取登录之后的页面,我们必须发送带有cookies的请求,此时为了确保账号安全应该尽量降低数据
采集速度。
1.cookie
(1)获取cookie信息
- response.cookies
-
2.session
(1)构造session回话对象
- session = requests.session()
-
示例:
- def login_renren():
- login_url = 'http://www.renren.com/SysHome.do'
- headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
- }
-
- session = requests.session()
-
- login_data = {
- "email": "账号",
- "password": "密码"
- }
-
- response = session.post(login_url, data=login_data, headers=headers)
-
- response = session.get("http://www.renren.com/971909762/newsfeed/photo")
- print(response.text)
-
- login_renren()
-
七、案例
案例1:百度贴吧页面爬取(GET请求)
- import requests
- import sys
-
- class BaiduTieBa:
- def __init__(self, name, pn, ):
- self.name = name
- self.url = "http://tieba.baidu.com/f?kw={}&ie=utf-8&pn={}".format(name, pn)
- self.headers = {
- # "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
-
- # 使用较老版本的请求头,该浏览器不支持js
- "User-Agent": "Mozilla/4.0 (compatible; MSIE 5.01; Windows NT 5.0)"
- }
- self.url_list = [self.url + str(pn*50) for pn in range(pn)]
- print(self.url_list)
-
- def get_data(self, url):
- """
- 请求数据
- :param url:
- :return:
- """
- response = requests.get(url, headers=self.headers)
- return response.content
-
- def save_data(self, data, num):
- """
- 保存数据
- :param data:
- :param num:
- :return:
- """
- file_name = "./pages/" + self.name + "_" + str(num) + ".html"
- with open(file_name, "wb") as f:
- f.write(data)
-
- def run(self):
- for url in self.url_list:
- data = self.get_data(url)
- num = self.url_list.index(url)
- self.save_data(data, num)
-
- if __name__ == "__main__":
- name = sys.argv[1]
- pn = int(sys.argv[2])
- baidu = BaiduTieBa(name, pn)
- baidu.run()
-
案例2:金山词霸翻译(POST请求)
- import requests
- import sys
- import json
-
- class JinshanCiBa:
- def __init__(self, words):
- self.url = "http://fy.iciba.com/ajax.php?a=fy"
- self.headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0",
- "X-Requested-With": "XMLHttpRequest"
- }
- self.post_data = {
- "f": "auto",
- "t": "auto",
- "w": words
- }
-
- def get_data(self):
- """
- 请求数据
- :param url:
- :return:
- """
- response = requests.post(self.url, data=self.post_data, headers=self.headers)
- return response.text
-
- def show_translation(self):
- """
- 显示翻译结果
- :param data:
- :param num:
- :return:
- """
- response = self.get_data()
- json_data = json.loads(response, encoding='utf-8')
- if json_data['status'] == 0:
- translation = json_data['content']['word_mean']
- elif json_data['status'] == 1:
- translation = json_data['content']['out']
- else:
- translation = None
- print(translation)
-
- def run(self):
- self.show_translation()
-
- if __name__ == "__main__":
- words = sys.argv[1]
- ciba = JinshanCiBa(words)
- ciba.run()
-
案例3:百度贴吧图片爬取
(1)普通版
从已下载页面中提取url来爬取图片(页面下载方法见案例1)
- from lxml import etree
- import requests
-
- class DownloadPhoto:
- def __init__(self):
- pass
-
- def download_img(self, url):
- response = requests.get(url)
- index = url.rfind('/')
- file_name = url[index + 1:]
- print("下载图片:" + file_name)
- save_name = "./photo/" + file_name
- with open(save_name, "wb") as f:
- f.write(response.content)
-
- def parse_photo_url(self, page):
- html = etree.parse(page, etree.HTMLParser())
- nodes = html.xpath("//a[contains(@class, 'thumbnail')]/img/@bpic")
- print(nodes)
- print(len(nodes))
- for node in nodes:
- self.download_img(node)
-
- if __name__ == "__main__":
- download = DownloadPhoto()
- for i in range(6000):
- download.parse_photo_url("./pages/校花_{}.html".format(i))
-
(2)多线程版
main.py
- import requests
- from lxml import etree
-
- from file_download import DownLoadExecutioner, file_download
-
- class XiaoHua:
- def __init__(self, init_url):
- self.init_url = init_url
- self.download_executioner = DownLoadExecutioner()
-
- def start(self):
- self.download_executioner.start()
- self.download_img(self.init_url)
-
- def download_img(self, url):
- html_text = file_download(url, type='text')
- html = etree.HTML(html_text)
- img_urls = html.xpath("//a[contains(@class,'thumbnail')]/img/@bpic")
- self.download_executioner.put_task(img_urls)
-
- # 获取下一页的连接
- next_page = html.xpath("//div[@id='frs_list_pager']/a[contains(@class,'next')]/@href")
- next_page = "http:" + next_page[0]
- self.download_img(next_page)
-
- if __name__ == '__main__':
- x = XiaoHua("http://tieba.baidu.com/f?kw=校花&ie=utf-8")
- x.start()
-
file_download.py
- import requests
- import threading
- from queue import Queue
-
- def file_download(url, type='content'):
- headers = {
- 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko'
- }
- r = requests.get(url, headers=headers)
- if type == 'text':
- return r.text
-
- return r.content
-
- class DownLoadExecutioner(threading.Thread):
- def __init__(self):
- super().__init__()
- self.q = Queue(maxsize=50)
- # 图片保存目录
- self.save_dir = './img/'
- # 图片计数
- self.index = 0
-
- def put_task(self, urls):
- if isinstance(urls, list):
- for url in urls:
- self.q.put(url)
- else:
- self.q.put(urls)
-
- def run(self):
- while True:
- url = self.q.get()
- content = file_download(url)
-
- # 截取图片名称
- index = url.rfind('/')
- file_name = url[index+1:]
- save_name = self.save_dir + file_name
- with open(save_name, 'wb+') as f:
- f.write(content)
- self.index += 1
- print(save_name + "下载成功! 当前已下载图片总数:" + str(self.index))
-
(3)线程池版
main.py
- import requests
- from lxml import etree
-
- from file_download_pool import DownLoadExecutionerPool, file_download
-
- class XiaoHua:
- def __init__(self, init_url):
- self.init_url = init_url
- self.download_executioner = DownLoadExecutionerPool()
-
- def start(self):
- self.download_img(self.init_url)
-
- def download_img(self, url):
- html_text = file_download(url, type='text')
- html = etree.HTML(html_text)
- img_urls = html.xpath("//a[contains(@class,'thumbnail')]/img/@bpic")
- self.download_executioner.put_task(img_urls)
-
- # 获取下一页的连接
- next_page = html.xpath("//div[@id='frs_list_pager']/a[contains(@class,'next')]/@href")
- next_page = "http:" + next_page[0]
- self.download_img(next_page)
-
- if __name__ == '__main__':
- x = XiaoHua("http://tieba.baidu.com/f?kw=校花&ie=utf-8")
- x.start()
-
file_download_pool.py
- import requests
- import concurrent.futures as futures
-
- def file_download(url, type='content'):
- headers = {
- 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko'
- }
- r = requests.get(url, headers=headers)
- if type == 'text':
- return r.text
-
- return r.content
-
- class DownLoadExecutionerPool():
- def __init__(self):
- super().__init__()
- # 图片保存目录
- self.save_dir = './img_pool/'
- # 图片计数
- self.index = 0
- # 线程池
- self.ex = futures.ThreadPoolExecutor(max_workers=30)
-
- def put_task(self, urls):
- if isinstance(urls, list):
- for url in urls:
- self.ex.submit(self.save_img, url)
- else:
- self.ex.submit(self.save_img, urls)
-
- def save_img(self, url):
- content = file_download(url)
-
- # 截取图片名称
- index = url.rfind('/')
- file_name = url[index+1:]
- save_name = self.save_dir + file_name
- with open(save_name, 'wb+') as f:
- f.write(content)
- self.index += 1
- print(save_name + "下载成功! 当前已下载图片总数:" + str(self.index))
作者:Recalcitrant
链接:https://www.jianshu.com/p/140012f88f8eRequests 是一个 Python 的 HTTP 客户端库。
Request支持HTTP连接保持和连接池,支持使用cookie保持会话,支持文件上传,支持自动响应内容的编码,支持国际化的URL和POST数据自动编码。
在python内置模块的基础上进行了高度的封装,从而使得python进行网络请求时,变得人性化,使用Requests可以轻而易举的完成浏览器可有的任何操作。现代,国际化,友好。
requests会自动实现持久连接keep-alive

开源地址:https://github.com/kennethreitz/requests
中文文档:http://docs.python-requests.org/zh_CN/latest/index.html
目录
一、Requests基础
二、发送请求与接收响应(基本GET请求)
三、发送请求与接收响应(基本POST请求)
四、response属性
五、代理
六、cookie和session
七、案例
一、Requests基础
1.安装Requests库
pip install requests
2.使用Requests库
import requests
二、发送请求与接收响应(基本GET请求)
- response = requests.get(url)
-
1.传送 parmas参数
- 参数包含在url中
- response = requests.get("http://httpbin.org/get?name=zhangsan&age=22")
- print(response.text)
-
- 通过get方法传送参数
- data = {
- "name": "zhangsan",
- "age": 30
- }
- response = requests.get("http://httpbin.org/get", params=data)
- print(response.text)
-
2.模拟发送请求头(传送headers参数)
- headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
- }
- response = requests.get("http://httpbin.org/get", headers=headers)
- print(response.text)
-
三、发送请求与接收响应(基本POST请求)
- response = requests.post(url, data = data, headers=headers)
-
四、response属性
属性 | 描述 |
---|---|
response.text | 获取str类型(Unicode编码)的响应 |
response.content | 获取bytes类型的响应 |
response.status_code | 获取响应状态码 |
response.headers | 获取响应头 |
response.request | 获取响应对应的请求 |
五、代理
- proxies = {
- "http": "https://175.44.148.176:9000",
- "https": "https://183.129.207.86:14002"
- }
- response = requests.get("https://www.baidu.com/", proxies=proxies)
-
六、cookie和session
- 使用的cookie和session好处:很多网站必须登录之后(或者获取某种权限之后)才能能够请求到相关数据。
- 使用的cookie和session的弊端:一套cookie和session往往和一个用户对应.请求太快,请求次数太多,容易被服务器识别为爬虫,从而使账号收到损害。
1.不需要cookie的时候尽量不去使用cookie。
2.为了获取登录之后的页面,我们必须发送带有cookies的请求,此时为了确保账号安全应该尽量降低数据
采集速度。
1.cookie
(1)获取cookie信息
- response.cookies
-
2.session
(1)构造session回话对象
- session = requests.session()
-
示例:
- def login_renren():
- login_url = 'http://www.renren.com/SysHome.do'
- headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
- }
-
- session = requests.session()
-
- login_data = {
- "email": "账号",
- "password": "密码"
- }
-
- response = session.post(login_url, data=login_data, headers=headers)
-
- response = session.get("http://www.renren.com/971909762/newsfeed/photo")
- print(response.text)
-
- login_renren()
-
七、案例
案例1:百度贴吧页面爬取(GET请求)
- import requests
- import sys
-
- class BaiduTieBa:
- def __init__(self, name, pn, ):
- self.name = name
- self.url = "http://tieba.baidu.com/f?kw={}&ie=utf-8&pn={}".format(name, pn)
- self.headers = {
- # "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
-
- # 使用较老版本的请求头,该浏览器不支持js
- "User-Agent": "Mozilla/4.0 (compatible; MSIE 5.01; Windows NT 5.0)"
- }
- self.url_list = [self.url + str(pn*50) for pn in range(pn)]
- print(self.url_list)
-
- def get_data(self, url):
- """
- 请求数据
- :param url:
- :return:
- """
- response = requests.get(url, headers=self.headers)
- return response.content
-
- def save_data(self, data, num):
- """
- 保存数据
- :param data:
- :param num:
- :return:
- """
- file_name = "./pages/" + self.name + "_" + str(num) + ".html"
- with open(file_name, "wb") as f:
- f.write(data)
-
- def run(self):
- for url in self.url_list:
- data = self.get_data(url)
- num = self.url_list.index(url)
- self.save_data(data, num)
-
- if __name__ == "__main__":
- name = sys.argv[1]
- pn = int(sys.argv[2])
- baidu = BaiduTieBa(name, pn)
- baidu.run()
-
案例2:金山词霸翻译(POST请求)
- import requests
- import sys
- import json
-
- class JinshanCiBa:
- def __init__(self, words):
- self.url = "http://fy.iciba.com/ajax.php?a=fy"
- self.headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0",
- "X-Requested-With": "XMLHttpRequest"
- }
- self.post_data = {
- "f": "auto",
- "t": "auto",
- "w": words
- }
-
- def get_data(self):
- """
- 请求数据
- :param url:
- :return:
- """
- response = requests.post(self.url, data=self.post_data, headers=self.headers)
- return response.text
-
- def show_translation(self):
- """
- 显示翻译结果
- :param data:
- :param num:
- :return:
- """
- response = self.get_data()
- json_data = json.loads(response, encoding='utf-8')
- if json_data['status'] == 0:
- translation = json_data['content']['word_mean']
- elif json_data['status'] == 1:
- translation = json_data['content']['out']
- else:
- translation = None
- print(translation)
-
- def run(self):
- self.show_translation()
-
- if __name__ == "__main__":
- words = sys.argv[1]
- ciba = JinshanCiBa(words)
- ciba.run()
-
案例3:百度贴吧图片爬取
(1)普通版
从已下载页面中提取url来爬取图片(页面下载方法见案例1)
- from lxml import etree
- import requests
-
- class DownloadPhoto:
- def __init__(self):
- pass
-
- def download_img(self, url):
- response = requests.get(url)
- index = url.rfind('/')
- file_name = url[index + 1:]
- print("下载图片:" + file_name)
- save_name = "./photo/" + file_name
- with open(save_name, "wb") as f:
- f.write(response.content)
-
- def parse_photo_url(self, page):
- html = etree.parse(page, etree.HTMLParser())
- nodes = html.xpath("//a[contains(@class, 'thumbnail')]/img/@bpic")
- print(nodes)
- print(len(nodes))
- for node in nodes:
- self.download_img(node)
-
- if __name__ == "__main__":
- download = DownloadPhoto()
- for i in range(6000):
- download.parse_photo_url("./pages/校花_{}.html".format(i))
-
(2)多线程版
main.py
- import requests
- from lxml import etree
-
- from file_download import DownLoadExecutioner, file_download
-
- class XiaoHua:
- def __init__(self, init_url):
- self.init_url = init_url
- self.download_executioner = DownLoadExecutioner()
-
- def start(self):
- self.download_executioner.start()
- self.download_img(self.init_url)
-
- def download_img(self, url):
- html_text = file_download(url, type='text')
- html = etree.HTML(html_text)
- img_urls = html.xpath("//a[contains(@class,'thumbnail')]/img/@bpic")
- self.download_executioner.put_task(img_urls)
-
- # 获取下一页的连接
- next_page = html.xpath("//div[@id='frs_list_pager']/a[contains(@class,'next')]/@href")
- next_page = "http:" + next_page[0]
- self.download_img(next_page)
-
- if __name__ == '__main__':
- x = XiaoHua("http://tieba.baidu.com/f?kw=校花&ie=utf-8")
- x.start()
-
file_download.py
- import requests
- import threading
- from queue import Queue
-
- def file_download(url, type='content'):
- headers = {
- 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko'
- }
- r = requests.get(url, headers=headers)
- if type == 'text':
- return r.text
-
- return r.content
-
- class DownLoadExecutioner(threading.Thread):
- def __init__(self):
- super().__init__()
- self.q = Queue(maxsize=50)
- # 图片保存目录
- self.save_dir = './img/'
- # 图片计数
- self.index = 0
-
- def put_task(self, urls):
- if isinstance(urls, list):
- for url in urls:
- self.q.put(url)
- else:
- self.q.put(urls)
-
- def run(self):
- while True:
- url = self.q.get()
- content = file_download(url)
-
- # 截取图片名称
- index = url.rfind('/')
- file_name = url[index+1:]
- save_name = self.save_dir + file_name
- with open(save_name, 'wb+') as f:
- f.write(content)
- self.index += 1
- print(save_name + "下载成功! 当前已下载图片总数:" + str(self.index))
-
(3)线程池版
main.py
- import requests
- from lxml import etree
-
- from file_download_pool import DownLoadExecutionerPool, file_download
-
- class XiaoHua:
- def __init__(self, init_url):
- self.init_url = init_url
- self.download_executioner = DownLoadExecutionerPool()
-
- def start(self):
- self.download_img(self.init_url)
-
- def download_img(self, url):
- html_text = file_download(url, type='text')
- html = etree.HTML(html_text)
- img_urls = html.xpath("//a[contains(@class,'thumbnail')]/img/@bpic")
- self.download_executioner.put_task(img_urls)
-
- # 获取下一页的连接
- next_page = html.xpath("//div[@id='frs_list_pager']/a[contains(@class,'next')]/@href")
- next_page = "http:" + next_page[0]
- self.download_img(next_page)
-
- if __name__ == '__main__':
- x = XiaoHua("http://tieba.baidu.com/f?kw=校花&ie=utf-8")
- x.start()
-
file_download_pool.py
- import requests
- import concurrent.futures as futures
-
- def file_download(url, type='content'):
- headers = {
- 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko'
- }
- r = requests.get(url, headers=headers)
- if type == 'text':
- return r.text
-
- return r.content
-
- class DownLoadExecutionerPool():
- def __init__(self):
- super().__init__()
- # 图片保存目录
- self.save_dir = './img_pool/'
- # 图片计数
- self.index = 0
- # 线程池
- self.ex = futures.ThreadPoolExecutor(max_workers=30)
-
- def put_task(self, urls):
- if isinstance(urls, list):
- for url in urls:
- self.ex.submit(self.save_img, url)
- else:
- self.ex.submit(self.save_img, urls)
-
- def save_img(self, url):
- content = file_download(url)
-
- # 截取图片名称
- index = url.rfind('/')
- file_name = url[index+1:]
- save_name = self.save_dir + file_name
- with open(save_name, 'wb+') as f:
- f.write(content)
- self.index += 1
- print(save_name + "下载成功! 当前已下载图片总数:" + str(self.index))
作者:Recalcitrant
链接:Requests - 简书