python爬虫下载文档

如果不想看我的思路和debug错误，可以直接看最后一句。
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如题，我想下载的文档是那种输入网址自动下载的，比如这个：
http://app.sipo-reexam.gov.cn/books/2003/FS3641/DOC/FS3641.doc
现在想用Python的urllib.request.urlretrive函数下载下来这个文档，但是报错。
我的代码和报错信息如下：
这是代码：

import urllib.request, urllib.error, urllib.parse
import os
file_name = 'test.doc'
file_path = 'doc'
if os.path.exists(file_path) == False:
    os.makedirs(file_path)
local = os.path.join(file_path,file_name)
url = 'http://app.sipo-reexam.gov.cn/books/2003/FS3641/DOC/FS3641.doc'
urllib.request.urlretrieve(url,local,Schedule)

这是报错信息：

Traceback (most recent call last):
  File "C:\Users\zhushihao\Desktop\doc.py", line 25, in <module>
    urllib.request.urlretrieve(url,local,Schedule)
  File "C:\Python34\lib\urllib\request.py", line 178, in urlretrieve
    with contextlib.closing(urlopen(url, data)) as fp:
  File "C:\Python34\lib\urllib\request.py", line 153, in urlopen
    return opener.open(url, data, timeout)
  File "C:\Python34\lib\urllib\request.py", line 455, in open
    response = self._open(req, data)
  File "C:\Python34\lib\urllib\request.py", line 473, in _open
    '_open', req)
  File "C:\Python34\lib\urllib\request.py", line 433, in _call_chain
    result = func(*args)
  File "C:\Python34\lib\urllib\request.py", line 1202, in http_open
    return self.do_open(http.client.HTTPConnection, req)
  File "C:\Python34\lib\urllib\request.py", line 1177, in do_open
    r = h.getresponse()
  File "C:\Python34\lib\http\client.py", line 1172, in getresponse
    response.begin()
  File "C:\Python34\lib\http\client.py", line 351, in begin
    version, status, reason = self._read_status()
  File "C:\Python34\lib\http\client.py", line 321, in _read_status
    raise BadStatusLine(line)
http.client.BadStatusLine: ''
[Finished in 2.3s with exit code 1]

另外 ，我自己考虑到有可能是网站屏蔽非浏览器请求，就想封装一个header，结果提示urlretrieve函数第一个参数只能是string，不能是request对象。

—————————————————————我是最后一句——————————————————————
如何用Python 下载 http://app.sipo-reexam.gov.cn/books/2003/FS3641/DOC/FS3641.doc这样的文档？

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1. 要设置 header，请把 request 对象传给 urllib.request.urlopen 方法
2. 推荐使用对人类友好的 requests 库