这也敢爬，你离牢饭不远了，爬虫逆向实战案例
重要的事情放在最前面，请您一定看仔细：
本文以学习和交流爬虫技术，尤其是JS逆向技术为目的。大家重点学习其中的思路和过程，请不要模仿爬取文中举例的网站，如果要爬取，请爬取不要超过3页，否则后果自负。
Crawl It!
爬虫技术万年第一步——分析网页结构和数据加载方式：
结果一打开网页是这样的，看来网站维护人员也过节去了。那就假期回来再继续写吧。。
本文暂停于 2021.2.11 上午 10:25
春节假期一眨眼就过完了，我又回来“搞事情”了！
- 打开url，显示数据页面。
- 通过Chrome浏览器的Network选项卡可以得知，翻页是由ajax实现的。
响应数据如下：
"95780ba0943730051dccb5fe3918f9fe1b6f2130681f99d5620c5497aa480f133ef544506ed439f
4bddb1ca63d7c066964c776ea098085c5cd9112e7cbcf533c5823e8b4bb0d542e5e2591fb6a46134
7bbb39b1ed0de45bce0d2512d6a0834f5c1d80d738d51820fb78c1aa2481fd43c825924bc101ad71
917930074d902df9764fe7f29f5a6cb917ea3e617ca76a348186f29d547a8b2bd4044cc9d9036fe2
b22e953f4aeea13705d9d1583300371749d5a882f6c50176739ca1171a50db15aae8c6550591dd8a
e62ad68dc69935e3fcf57379cc625c94acabb2effc4d5505f214f94a2a0e50110d9647d20bb189f4
4acad6184304fa46dff0048b0f58dd1b5d8a945794bbe9e66898b8e363192a79b84cde408f90a02c
9c9b85df2b6d5de973fc00874b223acd2da7df8642ce1e1e64aa6ff550e7b96db782d348f8209d5f
d59b9e26a2aa7ee9c4621cfc5a6d757d91e3862469c39b3b5152054a50667e0f8dfad00fafe55917
e938398c09fc682becfd9aa54f68ce6fd7e023cc7db416727a1572389c798d85f1cd348ff918a4d0
9e67c41a719ac57b6c06a05e954b84a6f0303192b740d3d5ed9c9cc4fe8f0c4de71aa12edc33069d
55f311894109c8c686745fcd22ed2cb33f5deeb6ca9af98c0097e86b450e98a9b1011587011014a3
5b63a3d55c17d92849f56d5e20e76847238c37620d2098b96c153accc9df0df7722868ff86028415
1bf7d7d0aa78ffeb89c882d592994ff09a235180f6f1ff6092fd60ce7eae7c69fc30ba47239f513e
08b9eb3e530cf08647933ea18d2c34c4cb9515b82d4153172311afb9af5d8bdd770d9d9410e75381
cf0f2aa2ca5cb33ccf3276ed0c7dfeda58b7c953bd7225b4395b07e922b75c26c3b5ee302ac3f0ae
40dc31a55ef92afdc7909c7f2e900e1ae8bf92764571c5a5ff27671fbce00c27fc379d64ca61d84f
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262688e1802da1c1a0320196dc721f1a604512589fd23cc01895760881ba4a7af28e5e66b921a14b
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414f6805955ad4cb32bc1c7a4946d77cc9aa4582add2e68976a9a85003acec58f21327c30750e7c1
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31458ccb0289dc403540b98e3a36d9b48a975bbb055dccfc57d87a6213f1fc57db70919dab450c3f
21da6daec9d0df7a847fd632a3e9a882b0e14e15565d06c7f437e7e69e9648f1cb9b022d6118d08e
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c696b52e4edabe499f349cfeff364b28d8bf82aa9a5cfaae80c4b92e22f03c58b3cca43363f1a64e
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44af7cfff512488d7bfe6f57f40b5681a18bf2b6a60827b8aa888c81afbcaff7063fc4aeed89b137
5d35f4f7af1ce3cf9c5b3c81c4175651a981f755f422c30713d3e6ca4f3763f95c0f0b1d1f51c32b
769157a7c0a25f050560bb851fbf581a7186d515bd88e100fc91a56b39b86da71e8d028485358e58
31b00d2e653485ee7f404cf8848a681f3fafceb06138e090fc2caf2b03a4978173e1c6e71821ada8
9ceba3302cc16cfaa4b9bf472fa79156772e5ffdab8b44606e258176fa651d13e7388c13ee17d965
4b3e5564c24ccf478015014da5b0dcc8deb213cb0558c185339b22c490a332b4d4f9cf700cf2662d
ec0f815c8418e2573621713717463e4606b5903f66d7bc0581369a1586e84ebd7ba27277aecbd67f
737e35ab87ac78c428588bd7a1a26e4bc2834779d3399e06790bf1cb1ea77f665a449b9e6b3f459d
bd14bbf1534b4f19292f35fbb5942ec505fcf654235d8e1b556843c87b6b868b4e049733e85f551f
78e3587dd6223183f038be2482259638a0650cf6eff6f1bf5383d4774e5b1e5bd20dc839df78ae23
cca22d23d30f2fa1a49307220474a371666908619339f83cc7ae3fcd37a37db640a06970b39db055
a2a8a0d067fe72516b9b9eccc51a69dcd19e961bfe3b131e8130ec2e648d20aafafaceb7f05f03e5
a4e75cd3dadece5d15cdb26c7e6c39a4fcf400490a668e4221f4c0129cfeb46078775392218c65db
37935c172fc5c10f2b0079a195698acd00f736071593604a1e088db94b29319b75f759cc0e6fb3a4
e226a2305dfb7ad0f0f3b9b02b229953e030ac50fe75560f7a98ccfff5a3dd06617349b4fd1ee5ac
db33789b5724e5c3e4441d13a11974b11406bca931d7077b0b2e1e9c4c7a6eb7245fc5779c1cf922
0f64e3bbd4c1fc1cd5000c879700dcb35e5fd77508fa96063de2c7531ae658bf048156b7678b4b41
bf66f00eb6198503671668115bcfcea46ab1a07a7c077d339bb24f65757fe8cfc944cbc1ab7aae39
b19c40619f28d86e58b1f39e52202ff220092ded48323531264e8271129c644ca7e6c4ee03ccbae9
02b990257b1a55daec1b919f33fff441198653032d1026ac1b404de3562c6f851664fd534b04e544
c43dd82ac7ebeaccc7a9a479678c2371665e99815e6a0c60b8b66a21fb0275dd5ee2c26cd69ddff0
b173b40b90e6a602a30c5f0b33e8b933de6f13520af43adf5b87e22ee5af4c307a27b2f788feaefc
668d87af90bf442df137fd26c8e29a6d40c5cb5fbd551752ef0660477013614528661901067c6d64
a95917b9b419180c4d3d3f0a1edb8521d90700ad70a2f4d0717d5bdc24766802ece3be32dc45bfa0
79cd7ff464608926728f9b395f609f53e42c7ba4136abd566d53d0b1819fbef45358df803eadd071
a250c3ca1abd7c2426975dbdfc5dc8369c79e785a4f6c0ed5a7152ec4912df7bf97914abca3f0b4f
616905ed128809a5ead9d9fe57425a16a32fb0ff3e81e409718814eca8226676d3cc8df61b8b0827
c5c54696a5c5c25f697fb842ca316a36a09dfb48b6fc9f5fdc3717affb3477d98259126821e2fedb
292daba634bff50e1e6136dfc83a4441bc8f2ed5350792b6c4668e76f5db7d64b4f40e94bb749471
19881f0077536a67422278bf0cc97614c2f7800ad08fc3e04e5ea3b010a6c16af0a8e16dfb15b780
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153e810ad751ff15af761011399a162029a77b4fe937edd5b8987ac01e2c89f1642716fe83627124
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0ea9e3a5a92e88c9718ac6ebd35b7047c333a4a8dcf56b66039b2b77fda17f9e6a741801a43410b6
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b9b0216a0edaea8117381f7e0a91e1abd1e4c3f8009ce0eda0802fc896248754b35d85b76b8ec569
917451a3ec2dadc3a2d07b7f5fb0bcc6c5a9fc5e1280310fbf7dc4bf060228ed3c997f35ab16d44c
0c5dceec43281120738882cc22b1ee5172d41613723c8da59fa6a70438868e2aa216e152435ed196
53866ebcc82721b1a524ebe0dde2a60647924e0d9ea4e391e2fc042f46b93658dc73087360b60969
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1489bdfb5753d0ad58854212935801080ad49054b9a599ecaafaa29c2194ef5cf98515e60dfdbce4
61f190b7ea166946b7d3b584b0f137ece880feb9431c5d6732bd3302c1147dbd03edf1aedc8c509e
0a6238a74aae81acd9cab9c1c4d8aeed9a0ac8f9a8a32a93217600e5a43c807677caa2954fb1e065
51b74336c8f37c83edd238f3b2b9434949300a6dc5f00f08ecc2fc8b4ba329c2217bc03e8e6e3457
e92d72c824ef97a8e35ebe395bd4e8944074fd64d6f59e672daba63bb7dcf416ec1d47400d186a4f
882721cbc6a6809b92aab8e0e66f6a6f82b35fc254558afadfa857179c245c626672b8a82c99b194
8761c98707206cbe7ecab8ffee47e9a7577504f78a59059b232a8ed9600a9516cb1619a42e471b23
0b4074d1df1acbb07834ece68090ca8f242fb126e688881004e7751c3f47a18c9b62994e4bbe2aff
fdc007f125234cdddc007b138a4eadaab2bc94f4d645e3adf00d490e4e2283d7dfff39bd3b0c5759
4ca2696c549281887f82776d98e1bab01f031d5767a71053122976a6e59fb2a13f07c98b5e45d530
1bb11d75bb83fb0c8c1090cd5089ff73eb07b6ffc775e5da3194702c2bf8b01f139457158475a8a2
dab9657e4321ebf05f52b64c604e6338fe1801c81db8120c553b641e3b3344d700a91d25412c90fc
981abe075450ed73fd9145d5b9626983272a47d60b087d30a76ede332fdaef790e14583d81dfc89b
8206a120badd4db7b11d73bc2ce882fea80d0ebb86d835c786bf81c63c3855d873535ad17ab183cd
4"
请求返回的一堆乱七八糟的字符就是加密过后的数据。（当然了，你服务器给我加密后的数据，你想要展示到浏览器页面上肯定需要本地解密数据，你肯定不会把这一堆乱码展示出来的。）
- 那么我们就需要去找对应的 js 解密流程。
通过九牛二虎之力终于找到了解密的地方，这一步是最耗时，最容易秃头的步骤。
找逆向切入点主要方法有：
- 关键字搜索，打断点调试
- 利用XHR设置断点；
- 查看调用栈。
这个网页我是通过打XHR断点 + 搜索关键字decrtpt(解密)的方式找到了这个加密处。
来看看调试出来的数据吧~
{"code":200,"data":
{"list":[{"QY_FR_NAME":"缪存旭","QY_REGION":"350200","QY_NAME":"厦门兴海湾工程管理有限公司","QY_REGION_NAME":"福建省-厦门市","QY_ORG_CODE":"913502112601177740","COLLECT_TIME":1477106448000,"RN":31,"QY_ID":"616160676166636361616466606865656369","QY_SRC_TYPE":"0","OLD_CODE":"260117774"},
{"QY_FR_NAME":"陈有良","QY_REGION":"330800","QY_NAME":"浙江洲道工程管理有限公司","QY_REGION_NAME":"浙江省-衢州市","QY_ORG_CODE":"91330802330012039P","COLLECT_TIME":1477106529000,"RN":32,"QY_ID":"616160676166636361616466606865656261","QY_SRC_TYPE":"0","OLD_CODE":"330012039"},
{"QY_FR_NAME":"徐丙水","QY_REGION":"370100","QY_NAME":"山东省正大建设监理有限公司","QY_REGION_NAME":"山东省-济南市","QY_ORG_CODE":"913701022671825366","COLLECT_TIME":1477106425000,"RN":33,"QY_ID":"616160676166636361616466606865656260","QY_SRC_TYPE":"0","OLD_CODE":"267182536"},
{"QY_FR_NAME":"王仲","QY_REGION":"510100","QY_NAME":"凯邦建设管理集团有限公司","QY_REGION_NAME":"四川省-成都市","QY_ORG_CODE":"91510105725354703M","COLLECT_TIME":1477106469000,"RN":34,"QY_ID":"616160676166636361616466606865656263","QY_SRC_TYPE":"0","OLD_CODE":"725354703"},
{"QY_FR_NAME":"刘一诺","QY_REGION":"371300","QY_NAME":"临沂宏利建设工程监理咨询有限公司","QY_REGION_NAME":"山东省-临沂市","QY_ORG_CODE":"913713005543587173","COLLECT_TIME":1477106454000,"RN":35,"QY_ID":"616160676166636361616466606865656262","QY_SRC_TYPE":"0","OLD_CODE":"554358717"},
{"QY_FR_NAME":"王红娟","QY_REGION":"410100","QY_NAME":"河南中建工程技术有限公司","QY_REGION_NAME":"河南省-郑州市","QY_ORG_CODE":"914101057919311268","COLLECT_TIME":1477106526000,"RN":36,"QY_ID":"616160676166636361616466606865656265","QY_SRC_TYPE":"0","OLD_CODE":"791931126"},
{"QY_FR_NAME":"林锦","QY_REGION":"350100","QY_NAME":"福建省建信工程管理集团有限公司","QY_REGION_NAME":"福建省-福州市","QY_ORG_CODE":"913501001544135960","COLLECT_TIME":1477106407000,"RN":37,"QY_ID":"616160676166636361616466606865656264","QY_SRC_TYPE":"0","OLD_CODE":"154413596"},
{"QY_FR_NAME":"杨高保","QY_REGION":"421200","QY_NAME":"嘉鱼县嘉泰建设监理有限责任公司","QY_REGION_NAME":"湖北省-咸宁市","QY_ORG_CODE":"91421221737145124M","COLLECT_TIME":1477106486000,"RN":38,"QY_ID":"616160676166636361616466606865656267","QY_SRC_TYPE":"0","OLD_CODE":"737145124"},
{"QY_FR_NAME":"蒋亚斌","QY_REGION":"410800","QY_NAME":"河南协同工程监理有限公司","QY_REGION_NAME":"河南省-焦作市","QY_ORG_CODE":"91410800555731456W","COLLECT_TIME":1477106405000,"RN":39,"QY_ID":"616160676166636361616466606865656266","QY_SRC_TYPE":"0","OLD_CODE":"555731456"},
{"QY_FR_NAME":"黄向军","QY_REGION":"450100","QY_NAME":"广西南宁建科工程监理有限责任公司","QY_REGION_NAME":"广西壮族自治区-南宁市","QY_ORG_CODE":"914501031983159639","COLLECT_TIME":1477106406000,"RN":40,"QY_ID":"616160676166636361616466606865656269","QY_SRC_TYPE":"0","OLD_CODE":"198315963"},
{"QY_FR_NAME":"廖渊","QY_REGION":"510100","QY_NAME":"成都海龙工程项目管理有限公司","QY_REGION_NAME":"四川省-成都市","QY_ORG_CODE":"91510100201986152W","COLLECT_TIME":1477106437000,"RN":41,"QY_ID":"616160676166636361616466606865656268","QY_SRC_TYPE":"0","OLD_CODE":"201986152"},
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从上面的图片，我们可以知道解密流程是由一个h函数实现的，h 函数把传进来的参数t（就是那一大串加密的字符），通过AES解密后返回了一个json格式的字符串，这就是我们想要的数据了。
下面我们开始用 python 去模拟这一流程：
OK，我们可以通过 requests 获得加密后的数据了，下面的步骤就是将字符解密。
这是逆向过程中第二费时的步骤，抠网页中的 js 代码然后用pyexecjs模块去执行获得解密数据; 或者将网页中的 js 代码用
python 进行重写(就是把 js 代码逻辑改成 python 的)。
据我所学知识看来，这是个AES加密，模式是CBC，填充模式是Pkcs7，只要再知道偏移量iv和密钥key是多少，这个解密流程就能被完全突破了，按照函数的位置参数来看，f对应的就是秘钥key。
得来全不费工夫~~~就在上面挨着，拿到密钥和vi之后，就可以使用Python中的Crypto模块进行AES解密。详细代码如下：
import requests
from Crypto.Cipher import AES
from binascii import b2a_hex, a2b_hex
# 向url发起请求，参数page_num为请求的页码数
def request(page_num):
headers = {
'Connection': 'keep-alive',
'Pragma': 'no-cache',
'Cache-Control': 'no-cache',
'Accept': 'application/json, text/plain, */*',
'timeout': '30000',
'accessToken': '',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.104 Safari/537.36',
'Referer': 'http://jzsc.mohurd.gov.cn/data/company',
'Accept-Language': 'zh-CN,zh;q=0.9',
}
params = (
('pg', page_num),
('pgsz', '15'),
('total', '450'),
)
response = requests.get('http://jzsc.mohurd.xxx.cn/api/webApi/dataservice/query/comp/list', headers=headers, params=params, verify=False)
return response.text
# 对请求回来的响应数据进行解密，参数text为响应数据
def decrypt(text):
key = 'jo8j9wGw%6HbxfFn'.encode('utf-8') //密钥
iv = '0123456789ABCDEF'.encode('utf-8') //加密偏移量
mode = AES.MODE_CBC //加密模式
cryptos = AES.new(key, mode, iv)
plain_text = cryptos.decrypt(a2b_hex(text))
return bytes.decode(plain_text).rstrip('')
# 获取数据，我们观察下打印的数据是否为解密的数据就可以了
def get_data():
for i in range(3):
print(decrypt(request(str(i))))
if __name__ == '__main__':
get_data()
执行代码后，我们得到网页上的数据了：
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到这里，爬取数据部分全部结束。
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