以下是小白的爬虫学习历程中遇到并解决的一些困难,希望写出来给后来人,如有疏漏恳请大牛指正,不胜感谢!

  首先,我的代码是这样的


 import requests

 url = 'http://www.acfun.tv/'
html = requests.get(url) print(html.text)

python2中解决方法(题外话)

参考:http://www.cnblogs.com/zhaoyl/p/3770340.html

在前面加上以下代码即可

import sys
reload(sys) # Python2.5 初始化后会删除 sys.setdefaultencoding 这个方法,我们需要重新载入
sys.setdefaultencoding('utf-8')

一般就能解决了

而在Python3中:

如果在控制台中运行,就遇到了如下的UnicodeEncodeError:

  

aaarticlea/png;base64,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" alt="" />

1.原因

  #参考了http://www.tuicool.com/articles/nEjiEv

  首先,代码中的html.text会自动将获取的内容解析为unicode  (与html.content不同。两者区别就是html.content的类型是bytes,而html.text类型是str,bytes通过解码(decode)可以得到str,str通过编码(encode)得到bytes)    html.text这种字符串如果要输出应当用utf-8来编码。而cmd中,(对于多数中国人所用的是中文的系统)默认字符编码是gbk

  从而导致此种现象:

  python要将utf-8编码的字符串,在gbk的cmd的中打印出来。于是出现了编码错误

2.解决方法

   1. 运行CMD;

2. 输入 CHCP,回车查看当前的编码;

3. 输入CHCP 65001(序号65001代表utf-8),回车;

4. 仅如此,还是不能支持UTF8的正常显示,你还要在窗体上右键,选择属性,来设置字体;

5. 操作完上面几步后,即使你原来的字体里面没有显示Lucida Console这个字体,现在应该也能看到了。选择它。如果原来就有,可以选上它先试试,不行在执行上述步骤。

(参考http://blog.useasp.net/archive/2012/04/24/how_to_use_UTF8_encoding_in_Windows_CMD.aspx)

如果还是不懂,请自行百度:在cmd上显示utf-8。

你也可以使用Pycharm这个IDE来运行查看结果,中文部分就能正常显示了。

  

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alt="" />

  

写入文件时引发的UnicodeEncodeError:

参考:https://segmentfault.com/a/1190000004269037

  在测试过程中多次出现在写入文件时报告错误“UnicodeEncodeError: 'ascii' codec can't encode character '\u56de' in position 0: ordinal not in range(128)”,这是由于我们在抓取网页的时候采用的是UTF-8编码,而存储时没有指定编码,在存储到文件的过程中就会报错。

  解决办法为:
在读取文件时加入指定UTF-8编码的选项

f = open('content.txt','a',encoding='UTF-8')

另外需要注意的是使用requests获取到网页之后同样要指定编码

html = requests.get(url)
html = re.sub(r'charset=(/w*)', 'charset=UTF-8', html.text)

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