基于urllib3的新Api实现

>>> import urllib3
>>> http = urllib3.PoolManager()
>>> r = http.request('GET', 'your_url_goes_here')
>>> r.status
   200
>>> r.data
   *****Response Data****

更多信息:https://pypi.org/project/urllib3/

你可以在Python 2和3上使用PycURL。

import pycurl

FILE_DEST = 'pycurl.html'
FILE_SRC = 'http://pycurl.io/'

with open(FILE_DEST, 'wb') as f:
    c = pycurl.Curl()
    c.setopt(c.URL, FILE_SRC)
    c.setopt(c.WRITEDATA, f)
    c.perform()
    c.close()

如果速度对你来说很重要，我为urllib和wget模块做了一个小的性能测试，关于wget，我尝试了一次状态栏和一次没有状态栏。我使用了三个不同的500MB文件进行测试(不同的文件-以消除在底层进行缓存的可能性)。在debian机器上测试，使用python2。

首先，这些是结果(它们在不同的运行中是相似的):

$ python wget_test.py 
urlretrive_test : starting
urlretrive_test : 6.56
==============
wget_no_bar_test : starting
wget_no_bar_test : 7.20
==============
wget_with_bar_test : starting
100% [......................................................................] 541335552 / 541335552
wget_with_bar_test : 50.49
==============

我执行测试的方式是使用“profile”装饰器。这是完整的代码:

import wget
import urllib
import time
from functools import wraps

def profile(func):
    @wraps(func)
    def inner(*args):
        print func.__name__, ": starting"
        start = time.time()
        ret = func(*args)
        end = time.time()
        print func.__name__, ": {:.2f}".format(end - start)
        return ret
    return inner

url1 = 'http://host.com/500a.iso'
url2 = 'http://host.com/500b.iso'
url3 = 'http://host.com/500c.iso'

def do_nothing(*args):
    pass

@profile
def urlretrive_test(url):
    return urllib.urlretrieve(url)

@profile
def wget_no_bar_test(url):
    return wget.download(url, out='/tmp/', bar=do_nothing)

@profile
def wget_with_bar_test(url):
    return wget.download(url, out='/tmp/')

urlretrive_test(url1)
print '=============='
time.sleep(1)

wget_no_bar_test(url2)
print '=============='
time.sleep(1)

wget_with_bar_test(url3)
print '=============='
time.sleep(1)

Urllib似乎是最快的

使用5行Python请求

import requests as req

remote_url = 'http://www.example.com/sound.mp3'
local_file_name = 'sound.mp3'

data = req.get(remote_url)

# Save file data to local copy
with open(local_file_name, 'wb')as file:
    file.write(data.content)

现在对远程文件的本地副本执行一些操作

延迟回答，但对于python>=3.6，您可以使用:

import dload
dload.save(url)

安装dload:

pip3 install dload

你可以使用python请求

import os
import requests


outfile = os.path.join(SAVE_DIR, file_name)
response = requests.get(URL, stream=True)
with open(outfile,'wb') as output:
  output.write(response.content)

你可以使用shutil

import os
import requests
import shutil
 
outfile = os.path.join(SAVE_DIR, file_name)
response = requests.get(url, stream = True)
with open(outfile, 'wb') as f:
  shutil.copyfileobj(response.content, f)

如果你从受限的url下载，不要忘记在标题中包含访问令牌