前言
可能很多人会觉得这是一个奇葩的需求,爬虫去好好的爬数据不就行了,解析js干嘛?吃饱了撑的?
搜索一下互联网上关于这个问题还真不少,但是大多数童鞋是因为自己的js基础太烂,要么是HTML基础烂,要么ajax基础烂,反正各方面都很烂。基础这么渣不好好去学基础写什么爬虫?
那你肯定要问了“请问我的朋友,你TM怎么也有这个需求?莫非你是个技术渣?”
非也非也,博主作为一个拥有3年多前端经验的攻城尸,怎么会被这个问题给难倒呢,老夫今天遇到的问题很显然没有那么简单。
问题
那么博主到底是遇到什么问题了呢?
博主今天要去爬一个接口,但是调用那个接口需要带上令牌,也就是存储在Cookie中的一个类似token的东西,Cookie的值是一段js生成的,这段js又是通过另外一个接口获取回来的,而获取回来的js代码还是动态的,WTF!!!开发人员你这是 弄撒嘞?
路人甲:我擦嘞,声称经验老道的博主不会分析js的逻辑?
对,我就是不会,特么的js代码都是混淆加密的,眼睛都看瞎了都特么不知道写的都是写啥?
算了,我直接执行拿到结果就好了,管他写的是什么鬼。
思路
理一理思路,现在要做的事情其实很简单
请求接口A,拿到动态生成的混淆过的js代码
执行js代码,拿到生成的cookie值
请求接口B,带上js生成的令牌
拿到结果,愉快的玩耍...
思路相当的清晰,感觉秒秒钟就可以实现了呢。()
难题
Python里面执行js?有点意思,我干嘛不用nodejs呢?
因为Python是世界上最屌的语言啊!没有之一!
找到了PyV8这个神奇的模块,机器已经有了pip,执行安装一下不就OK了?
pip install pyv8
不要怀疑,博主机器装的是 Kali Linux ,Root 权限,不需要 sudo
接着报错
pip install -U PyV8 Collecting PyV8 Using cached PyV8-0.5.zip Building wheels for collected packages: PyV8 Running setup.py bdist_wheel for PyV8 ... error Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-QUm4bX/PyV8/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" bdist_wheel -d /tmp/tmpb0udlepip-wheel- --python-tag cp27: running bdist_wheel running build running build_py creating build creating build/lib.linux-x86_64-2.7 copying PyV8.py -> build/lib.linux-x86_64-2.7 running build_ext building '_PyV8' extension creating build/temp.linux-x86_64-2.7 creating build/temp.linux-x86_64-2.7/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-cFt4xx/python2.7-2.7.12=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC -DBOOST_PYTHON_STATIC_LIB -Ilib/python/inc -Ilib/boost/inc -Ilib/v8/inc -I/usr/include/python2.7 -c src/Exception.cpp -o build/temp.linux-x86_64-2.7/src/Exception.o cc1plus: warning: command line option ‘-Wstrict-prototypes' is valid for C/ObjC but not for C++ In file included from src/Exception.cpp:1:0: src/Exception.h:6:16: fatal error: v8.h: 没有那个文件或目录 #include <v8.h> ^ compilation terminated. error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 ---------------------------------------- Failed building wheel for PyV8 Running setup.py clean for PyV8 Failed to build PyV8 Installing collected packages: PyV8 Running setup.py install for PyV8 ... error Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-QUm4bX/PyV8/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-7OAwUa-record/install-record.txt --single-version-externally-managed --compile: running install running build running build_py creating build creating build/lib.linux-x86_64-2.7 copying PyV8.py -> build/lib.linux-x86_64-2.7 running build_ext building '_PyV8' extension creating build/temp.linux-x86_64-2.7 creating build/temp.linux-x86_64-2.7/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-cFt4xx/python2.7-2.7.12=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC -DBOOST_PYTHON_STATIC_LIB -Ilib/python/inc -Ilib/boost/inc -Ilib/v8/inc -I/usr/include/python2.7 -c src/Exception.cpp -o build/temp.linux-x86_64-2.7/src/Exception.o cc1plus: warning: command line option ‘-Wstrict-prototypes' is valid for C/ObjC but not for C++ In file included from src/Exception.cpp:1:0: src/Exception.h:6:16: fatal error: v8.h: 没有那个文件或目录 #include <v8.h> ^ compilation terminated. error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 ---------------------------------------- Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-QUm4bX/PyV8/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-7OAwUa-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-QUm4bX/PyV8/
似乎是因为缺少 v8.h 这个文件导致的,可是又看不懂啥意思。
解决
通过搜索引擎找到了解决方案,原来是因为 PyV8 依赖于Boost ,然而这个问题官方并没有说,所以得先安装下这个包
apt-get update && apt-get install libboost-all-dev
安装完成之后继续安装 PyV8 ,依然是上面同样的问题,看来只能手动来了。
下载 http://www.php.cn/
解压并选择合适自己系统环境的文件,再次解压 并把解压得到的文件复制到
/usr/lib/python2.7/dist-packages/
里面去,然后测试看是否成功,终端执行
python import PyV8
如果没有报错,那就成功了,开始愉快的玩耍,下面是我需要解析的js代码
var l = [119, 98, 115, 33, 111, 109, 120, 105, 118, 62, 92, 50, 50, 54, 45, 50, 50, 51, 45, 50, 50, 55, 45, 50, 49, 58, 45, 50, 50, 49, 45, 50, 51, 51, 45, 50, 50, 52, 45, 50, 50, 51, 45, 50, 50, 54, 45, 50, 49, 55, 45, 50, 49, 58, 45, 50, 49, 50, 45, 50, 50, 54, 45, 50, 50, 58, 45, 50, 50, 49, 45, 50, 50, 51, 45, 50, 50, 58, 45, 50, 51, 51, 45, 50, 50, 58, 45, 50, 50, 55, 45, 50, 50, 54, 45, 50, 50, 54, 94, 60, 119, 98, 115, 33, 121, 119, 99, 100, 108, 62, 92, 49, 45, 51, 50, 45, 53, 45, 55, 45, 50, 50, 45, 57, 45, 56, 45, 50, 51, 45, 51, 45, 51, 49, 45, 50, 52, 45, 50, 54, 45, 50, 49, 45, 50, 57, 45, 52, 45, 58, 45, 50, 53, 45, 50, 56, 45, 54, 45, 50, 55, 45, 50, 58, 45, 50, 94, 60, 119, 98, 115, 33, 118, 62, 35, 35, 60, 103, 112, 115, 33, 41, 119, 62, 49, 60, 119, 61, 121, 119, 99, 100, 108, 47, 109, 102, 111, 104, 117, 105, 60, 119, 44, 44, 42, 124, 118, 44, 62, 84, 117, 115, 106, 111, 104, 47, 103, 115, 112, 110, 68, 105, 98, 115, 68, 112, 101, 102, 41, 111, 109, 120, 105, 118, 92, 121, 119, 99, 100, 108, 92, 119, 94, 94, 42, 126, 60, 37, 47, 100, 112, 112, 108, 106, 102, 41, 40, 114, 117, 112, 108, 102, 111, 40, 45, 118, 45, 124, 113, 98, 117, 105, 59, 40, 48, 40, 126, 42, 60]; eval(function(p, a, c, k, e, d) { e = function(c) { return (c < a ? "" : e(parseInt(c / a))) + ((c = c % a) > 35 ? String.fromCharCode(c + 29) : c.toString(36)) }; if (!''.replace(/^/, String)) { while (c--) d[e(c)] = k[c] || e(c); k = [function(e) { return d[e] }]; e = function() { return '\\w+' }; c = 1 }; while (c--) if (k[c]) p = p.replace(new RegExp('\\b' + e(c) + '\\b', 'g'), k[c]); return p }('6 3=\'\';7(2=0;2<4.5;2++){3+=8.a(4[2]-1)};9(3)', 11, 11, '||i|t|l|length|var|for|String|eval|fromCharCode'.split('|'), 0, {}))
已经经过整理,其实刚开始就只有一行,比较尴尬
姿势
折腾的过程可谓是各种曲折,不过也学到了不少姿势,比如,如何把混淆的js还原成原始代码
使用Firebug插件就能轻松解决这个问题,打开firebug插件,找到脚本选项,选择带 eval 的项,一般解析到最后一行就是原始代码了,我上面的那段 js 还原之后就便成了这个样子
var balwi=[115,116,115,122,112,115,110,106,122,110,122,112,101,119,115,106,113,101,116,116,119,106];var ljpry=[15,21,4,9,12,14,11,0,18,20,8,16,7,2,1,10,17,13,19,6,5,3];var j="";for (k=0;k<ljpry.length;k++){j+=String.fromCharCode(balwi[ljpry[k]])};$.cookie('qtoken',j,{path:'/'});
稍微整理一下得到一个格式清晰的代码
var balwi = [115, 116, 115, 122, 112, 115, 110, 106, 122, 110, 122, 112, 101, 119, 115, 106, 113, 101, 116, 116, 119, 106]; var ljpry = [15, 21, 4, 9, 12, 14, 11, 0, 18, 20, 8, 16, 7, 2, 1, 10, 17, 13, 19, 6, 5, 3]; var j = ""; for (k = 0; k < ljpry.length; k++) { j += String.fromCharCode(balwi[ljpry[k]]) }; $.cookie('qtoken', j, { path: '/' });
有了原始代码就很容易得到令牌的生成算法,使用Python生成,这回不用麻烦 PyV8 大神出马了。
更多使用PyV8在Python爬虫中执行js代码相关文章请关注PHP中文网!

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Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

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Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

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