版权声明： https://blog.csdn.net/qq_26877377/article/details/81985436
以前有写过汽车之家的爬虫，但是有一段时间没有爬了，所以网站也更新了。
现在2018.8.23号的情况是这样，请求url后，返回的数据是很长的js加上自定义字符的请求连接，
网页是先加载js，js操作页面元素，将运行的结果进行替换，得到16进制的，然后字体文件在进行替换，
1，第一个困难点就是得到替换的KC_的值，这里我是将源代码中的js和需要变更的部分，简单修改替换的值，然后加上jquer文件生成一个html，最后使用Chrome渲染，关掉图片加载，秒渲染~。然后得到我需要替换的文字，这里的文字是和字体文件的名字是对应的
2.，以前字体文件虽然名称和顺序改变，但是字体结构是不变的，现在字体结构是随机偏移5位移，这里我是找了资料，
用fontTools库的函数，将字体生成图片格式化输出，然后使用TensorFlow将2套图作为样本，训练了一下，然后将得到的图片进行识别，正确率是100%。
3.然后将图片分类得到的字符串将代码中的结果替换掉，得到和网页完全一样的结果。
这里就简单放一个主逻辑的代码
import requests, re,time
from lxml import etree
from fontTools.ttLib import TTFont
from save_png import mainn
from cnnn import te
from req_js_str import WebDri
from mysql_conn_info import MysqlHelper
my_db = MysqlHelper()
webdr = WebDri()
def run(info_url):
url = info_url
headers = {
"upgrade-insecure-requests": "1",
"user-agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36",
}
response = requests.get(url=url, headers=headers, timeout=15)
data = response.text
with open("搜索结果aa.html", "w", encoding="utf-8") as f:
f.write(data)
# with open("搜索结果.html", "r", encoding="utf-8") as f:
# data = f.read()
html = etree.HTML(data)
#发布的时间
publish_time = html.xpath("""//div[@class="title-name name-width-01"]/b/text()""")[0].strip()
#发布的文章标题
title = html.xpath("""//div[@class="kou-tit"]/h3/text()""")[0]
# text_con = html.xpath("""//div[@class="text-con"]""")[0]
# text_con = etree.tostring(text_con,method="html").decode("utf-8")
# 得到需要解析的js
text_con = re.findall(r"""<div class="mouth-main.*?</style> </div>""",data,re.S)[0]
# print(text_con)
#将这段需要渲染的js替换到html中
with open("aaaaa.html", "r", encoding="utf-8") as f:
data2 = f.read()
# print(data2)
with open("替换文件.html", "w", encoding="utf-8") as g:
# print(data2)
#修改js代码
text_con = re.sub(r"""<span style="font-family:myfont;">&#x""","我张壮\1",text_con)
html_ = re.sub("""需要替换的文字""",text_con,data2,1,re.S,)
g.write(html_)
#调用渲染
js_text = webdr.get_()
#找到需要替换的文字列表
list_wenz = re.findall(r"我张壮.e...",js_text)
#得到需要进行图像识别的文字列表
set_wenz = ["uni"+uni[-4:].upper() for uni in set(list_wenz)]
set_wenz1 = [uni[-4:] for uni in set(list_wenz)]
#请求得到字体文件
rst = re.findall(".{80}ttf", data)[0]
rst = re.findall("\('(.*?ttf)", rst)[0]
url = "https:" + rst
ttf = requests.get(url,headers=headers)
with open("qczj1.ttf", "wb") as f:
f.write(ttf.content)
# qczjFont = TTFont("qczj1.ttf")
# qczjFont.getGlyphOrder()
#得到当前90个字体文件名
# uniList = qczjFont['cmap'].tables[0].ttFont.getGlyphOrder()
# print(uniList)
# utf8List = [uni[3:] for uni in uniList[1:]]
# print(utf8List)
str_list = []
for i in set_wenz:
# 保存图片,后面修改成获取图片就行
# print(i)
mainn(i)
str_ = te("F:\\汽车之家\\autohome\\prct\\"+i+".jpeg")
str_ = iff(int(str_))
str_list.append(str_)
for i in range(len(str_list)):
_ = """我张壮\x01%s;"""%set_wenz1[i]
#获取到文章的全部内容
js_text = re.sub(_,str_list[i],js_text)
# 存数据
print(js_text)
content = js_text
my_db.update((publish_time,title,content,info_url))
def iff(data):
if data == 0:
data = "呢"
elif data == 1:
data = "了"
elif data == 2:
data = "右"
elif data == 3:
data = "电"
elif data == 4:
data = "近"
elif data == 5:
data = "音"
elif data == 6:
data = "上"
elif data == 7:
data = "不"
elif data == 8:
data = "小"
elif data == 9:
data = "性"
elif data == 10:
data = "味"
elif data == 11:
data = "自"
elif data == 12:
data = "二"
elif data == 13:
data = "机"
elif data == 14:
data = "软"
elif data == 15:
data = "泥"
elif data == 16:
data = "油"
elif data == 17:
data = "空"
elif data == 18:
data = "只"
elif data == 19:
data = "好"
elif data == 20:
data = "手"
elif data == 21:
data = "下"
elif data == 22:
data = "启"
elif data == 23:
data = "地"
elif data == 24:
data = "量"
elif data == 25:
data = "少"
elif data == 26:
data = "档"
elif data == 27:
data = "路"
elif data == 28:
data = "灯"
elif data == 29:
data = "当"
elif data == 30:
data = "六"
elif data == 31:
data = "得"
elif data == 32:
data = "养"
elif data == 33:
data = "孩"
elif data == 34:
data = "实"
elif data == 35:
data = "硬"
elif data == 36:
data = "很"
elif data == 37:
data = "开"
elif data == 38:
data = "坏"
elif data == 39:
data = "冷"
elif data == 40:
data = "一"
elif data == 41:
data = "来"
elif data == 42:
data = "保"
elif data == 43:
data = "八"
elif data == 44:
data = "多"
elif data == 45:
data = "高"
elif data == 46:
data = "三"
elif data == 47:
data = "过"
elif data == 48:
data = "皮"
elif data == 49:
data = "级"
elif data == 50:
data = "响"
elif data == 51:
data = "无"
elif data == 52:
data = "中"
elif data == 53:
data = "门"
elif data == 54:
data = "耗"
elif data == 55:
data = "雨"
elif data == 56:
data = "远"
elif data == 57:
data = "身"
elif data == 58:
data = "坐"
elif data == 59:
data = "更"
elif data == 60:
data = "四"
elif data == 61:
data = "内"
elif data == 62:
data = "矮"
elif data == 63:
data = "五"
elif data == 64:
data = "左"
elif data == 65:
data = "加"
elif data == 66:
data = "里"
elif data == 67:
data = "问"
elif data == 68:
data = "短"
elif data == 69:
data = "着"
elif data == 70:
data = "七"
elif data == 71:
data = "副"
elif data == 72:
data = "低"
elif data == 73:
data = "和"
elif data == 74:
data = "长"
elif data == 75:
data = "光"
elif data == 76:
data = "动"
elif data == 77:
data = "是"
elif data == 78:
data = "外"
elif data == 79:
data = "控"
elif data == 80:
data = "十"
elif data == 81:
data = "比"
elif data == 82:
data = "真"
elif data == 83:
data = "盘"
elif data == 84:
data = "排"
elif data == 85:
data = "公"
elif data == 86:
data = "有"
elif data == 87:
data = "的"
elif data == 88:
data = "九"
elif data == 89:
data = "大"
else:
print("数据替换出错")
return data
if __name__ == '__main__':
info_url = my_db.get("select info_url from text_info order by id asc limit 0,10;")
for i in info_url:
print(i[0])
run(i[0])
time.sleep(20)