python爬虫---requests库的用法详解

(编辑:jimmy 日期: 2024/11/14 浏览:2)

requests是python实现的简单易用的HTTP库,使用起来比urllib简洁很多

因为是第三方库,所以使用前需要cmd安装

pip install requests

安装完成后import一下,正常则说明可以开始使用了。

基本用法:

requests.get()用于请求目标网站,类型是一个HTTPresponse类型

import requests

response = requests.get('http://www.baidu.com')
print(response.status_code) # 打印状态码
print(response.url) # 打印请求url
print(response.headers) # 打印头信息
print(response.cookies) # 打印cookie信息
print(response.text) #以文本形式打印网页源码
print(response.content) #以字节流形式打印

运行结果:

状态码:200

url:www.baidu.com

headers信息

python爬虫---requests库的用法详解

各种请求方式:

import requests

requests.get('http://httpbin.org/get')
requests.post('http://httpbin.org/post')
requests.put('http://httpbin.org/put')
requests.delete('http://httpbin.org/delete')
requests.head('http://httpbin.org/get')
requests.options('http://httpbin.org/get')

基本的get请求

import requests

response = requests.get('http://httpbin.org/get')
print(response.text)

结果

python爬虫---requests库的用法详解

带参数的GET请求:

第一种直接将参数放在url内

import requests

response = requests.get(http://httpbin.org/get"" src="/UploadFiles/2021-04-08/202009282127463.png">

另一种先将参数填写在dict中,发起请求时params参数指定为dict

import requests

data = {
  'name': 'tom',
  'age': 20
}

response = requests.get('http://httpbin.org/get', params=data)
print(response.text)

结果同上

解析json

import requests

response = requests.get('http://httpbin.org/get')
print(response.text)
print(response.json()) #response.json()方法同json.loads(response.text)
print(type(response.json()))

结果

python爬虫---requests库的用法详解

简单保存一个二进制文件

二进制内容为response.content

import requests

response = requests.get('http://img.ivsky.com/img/tupian/pre/201708/30/kekeersitao-002.jpg')
b = response.content
with open('F://fengjing.jpg','wb') as f:
  f.write(b)

为你的请求添加头信息

import requests
heads = {}
heads['User-Agent'] = 'Mozilla/5.0 '              '(Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 '              '(KHTML, like Gecko) Version/5.1 Safari/534.50'
 response = requests.get('http://www.baidu.com',headers=headers)

使用代理

同添加headers方法,代理参数也要是一个dict

这里使用requests库爬取了IP代理网站的IP与端口和类型

因为是免费的,使用的代理地址很快就失效了。

import requests
import re

def get_html(url):
  proxy = {
    'http': '120.25.253.234:812',
    'https' '163.125.222.244:8123'
  }
  heads = {}
  heads['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1.0'
  req = requests.get(url, headers=heads,proxies=proxy)
  html = req.text
  return html

def get_ipport(html):
  regex = r'<td data-title="IP">(.+)</td>'
  iplist = re.findall(regex, html)
  regex2 = '<td data-title="PORT">(.+)</td>'
  portlist = re.findall(regex2, html)
  regex3 = r'<td data-title="类型">(.+)</td>'
  typelist = re.findall(regex3, html)
  sumray = []
  for i in iplist:
    for p in portlist:
      for t in typelist:
        pass
      pass
    a = t+','+i + ':' + p
    sumray.append(a)
  print('高匿代理')
  print(sumray)


if __name__ == '__main__':
  url = 'http://www.kuaidaili.com/free/'
  get_ipport(get_html(url))

结果:

python爬虫---requests库的用法详解

基本POST请求:

import requests

data = {'name':'tom','age':'22'}

response = requests.post('http://httpbin.org/post', data=data)

python爬虫---requests库的用法详解

获取cookie

#获取cookie
import requests

response = requests.get('http://www.baidu.com')
print(response.cookies)
print(type(response.cookies))
for k,v in response.cookies.items():
  print(k+':'+v)

结果:

python爬虫---requests库的用法详解

会话维持

import requests

session = requests.Session()
session.get('http://httpbin.org/cookies/set/number/12345')
response = session.get('http://httpbin.org/cookies')
print(response.text)

结果:

python爬虫---requests库的用法详解

证书验证设置

import requests
from requests.packages import urllib3

urllib3.disable_warnings() #从urllib3中消除警告
response = requests.get('https://www.12306.cn',verify=False) #证书验证设为FALSE
print(response.status_code)打印结果:200

超时异常捕获

import requests
from requests.exceptions import ReadTimeout

try:
  res = requests.get('http://httpbin.org', timeout=0.1)
  print(res.status_code)
except ReadTimeout:
  print(timeout)

异常处理

在你不确定会发生什么错误时,尽量使用try...except来捕获异常

所有的requests exception:

Exceptions

import requests
from requests.exceptions import ReadTimeout,HTTPError,RequestException

try:
  response = requests.get('http://www.baidu.com',timeout=0.5)
  print(response.status_code)
except ReadTimeout:
  print('timeout')
except HTTPError:
  print('httperror')
except RequestException:
  print('reqerror')

25行代码带你爬取4399小游戏数据

import requests
import parsel
import csv
f = open('4399游戏.csv', mode='a', encoding='utf-8-sig', newline='')

csv_writer = csv.DictWriter(f, fieldnames=['游戏地址', '游戏名字'])
csv_writer.writeheader()
for page in range(1, 106):
  url = 'http://www.4399.com/flash_fl/5_{}.htm'.format(page)
  headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
  }
  response = requests.get(url=url, headers=headers)
  response.encoding = response.apparent_encoding
  selector = parsel.Selector(response.text)
  lis = selector.css('#classic li')
  for li in lis:
    dit ={}
    data_url = li.css('a::attr(href)').get()
    new_url = 'http://www.4399.com' + data_url.replace('http://', '/')
    dit['游戏地址'] = new_url
    title = li.css('img::attr(alt)').get()
    dit['游戏名字'] = title
    print(new_url, title)
    csv_writer.writerow(dit)
f.close()

一句话新闻

高通与谷歌联手!首款骁龙PC优化Chrome浏览器发布
高通和谷歌日前宣布,推出首次面向搭载骁龙的Windows PC的优化版Chrome浏览器。
在对骁龙X Elite参考设计的初步测试中,全新的Chrome浏览器在Speedometer 2.1基准测试中实现了显著的性能提升。
预计在2024年年中之前,搭载骁龙X Elite计算平台的PC将面世。该浏览器的提前问世,有助于骁龙PC问世就获得满血表现。
谷歌高级副总裁Hiroshi Lockheimer表示,此次与高通的合作将有助于确保Chrome用户在当前ARM兼容的PC上获得最佳的浏览体验。