文章目录[隐藏]
Requests 是一个 Python 的 HTTP 客户端库。
Request反对HTTP连贯放弃和连接池，反对应用cookie放弃会话，反对文件上传，反对主动响应内容的编码，反对国际化的URL和POST数据自动编码。
在python内置模块的根底上进行了高度的封装从而使得python进行网络申请时，变得人性化，应用Requests能够轻而易举的实现浏览器可有的任何操作。古代，国际化，敌对。
requests会主动实现长久连贯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根底
二、发送申请与接管响应（根本GET申请）
三、发送申请与接管响应（根本POST申请）
四、response属性
五、代理
六、cookie和session
七、案例
一、Requests根底
1.装置Requests库
pip install requests
2.应用Requests库
import requests
二、发送申请与接管响应（根本GET申请）
response = requests.get(url)
1.传送 parmas参数
- 参数蕴含在url中
response = requests.get("http://httpbin.org/get?name=zhangsan&age=22")
print(response.text)
- 通过get办法传送参数
data = {
"name": "zhangsan",
"age": 30
}
response = requests.get("http://httpbin.org/get", params=data)
print(response.text)
2.模仿发送申请头（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、发送申请与接管响应（根本POST申请）
response = requests.post(url, data = data, headers=headers)
四、response属性
| 属性 | 形容 |
|---|---|
| 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 | 获取响应对应的申请 |
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
- 应用的cookie和session益处：很多网站必须登录之后(或者获取某种权限之后)能力可能申请到相干数据。
- 应用的cookie和session的弊病：一套cookie和session往往和一个用户对应.申请太快，申请次数太多，容易被服务器辨认为爬虫，从而使账号收到侵害。
1.不须要cookie的时候尽量不去应用cookie。
2.为了获取登录之后的页面，咱们必须发送带有cookies的申请，此时为了确保账号平安应该尽量升高数据
采集速度。
1.cookie
（1）获取cookie信息
response.cookies
2.session
（1）结构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": "明码"
}
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申请）
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"
# 应用较老版本的申请头，该浏览器不反对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):
"""
申请数据
:param url:
:return:
"""
response = requests.get(url, headers=self.headers)
return response.content
def save_data(self, data, num):
"""
保留数据
: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申请）
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):
"""
申请数据
:param url:
:return:
"""
response = requests.post(self.url, data=self.post_data, headers=self.headers)
return response.text
def show_translation(self):
"""
显示翻译后果
: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）一般版
从已下载页面中提取url来爬取图片（页面下载办法见案例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)
# 获取下一页的连贯
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)
# 图片保留目录
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 + "下载胜利! 以后已下载图片总数：" + 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)
# 获取下一页的连贯
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__()
# 图片保留目录
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 + "下载胜利! 以后已下载图片总数：" + str(self.index))
作者：Recalcitrant
链接：https://www.gaodaima.com/p/140… 是一个 Python 的 HTTP 客户端库。
Request反对HTTP连贯放弃和连接池，反对应用cookie放弃会话，反对文件上传，反对主动响应内容的编码，反对国际化的URL和POST数据自动编码。
在python内置模块的根底上进行了高度的封装，从而使得python进行网络申请时，变得人性化，应用Requests能够轻而易举的实现浏览器可有的任何操作。古代，国际化，敌对。
requests会主动实现长久连贯keep-alive
1.传送 parmas参数
- 参数蕴含在url中
response = requests.get("http://httpbin.org/get?name=zhangsan&age=22")
print(response.text)
- 通过get办法传送参数
data = {
"name": "zhangsan",
"age": 30
}
response = requests.get("http://httpbin.org/get", params=data)
print(response.text)
2.模仿发送申请头（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、发送申请与接管响应（根本POST申请）
response = requests.post(url, data = data, headers=headers)
四、response属性
| 属性 | 形容 |
|---|---|
| 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 | 获取响应对应的申请 |
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
- 应用的cookie和session益处：很多网站必须登录之后(或者获取某种权限之后)能力可能申请到相干数据。
- 应用的cookie和session的弊病：一套cookie和session往往和一个用户对应.申请太快，申请次数太多，容易被服务器辨认为爬虫，从而使账号收到侵害。
1.不须要cookie的时候尽量不去应用cookie。
2.为了获取登录之后的页面，咱们必须发送带有cookies的申请，此时为了确保账号平安应该尽量升高数据
采集速度。
1.cookie
（1）获取cookie信息
response.cookies
2.session
（1）结构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": "明码"
}
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申请）
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"
# 应用较老版本的申请头，该浏览器不反对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):
"""
申请数据
:param url:
:return:
"""
response = requests.get(url, headers=self.headers)
return response.content
def save_data(self, data, num):
"""
保留数据
: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申请）
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):
"""
申请数据
:param url:
:return:
"""
response = requests.post(self.url, data=self.post_data, headers=self.headers)
return response.text
def show_translation(self):
"""
显示翻译后果
: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）一般版
从已下载页面中提取url来爬取图片（页面下载办法见案例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)
# 获取下一页的连贯
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)
# 图片保留目录
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 + "下载胜利! 以后已下载图片总数：" + 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)
# 获取下一页的连贯
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__()
# 图片保留目录
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 + "下载胜利! 以后已下载图片总数：" + str(self.index))
作者：Recalcitrant
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转载请注明原文链接：关于python:16python爬虫之Requests库爬取海量图片
转载请注明原文链接：关于python:16python爬虫之Requests库爬取海量图片
