起点小说字体加密python TTFont解析流
起点小说详情加密 阅读数 点击数
起点目标网址：
第一步
静态请求 发现关键地方 点击数是乱码 类似
𘜄𘜈𘜂𘛾𘜆万字
第二步
找到对应的字体加密的文件 用百度字体打开
这不就是和页面上的乱码一模一样吗， 但是多次请求发现每一次的请求 字体文件对应的编号都不一样，这就说明每一次都会变化，需要每次读取这个文件 查询对应的（字体映射）
这里我们用 python
from fontTools.ttLib import TTFont
world = TTFont('wwOMhmLd.ttf')
# print(world.getGlyphOrder()) # 字典的value 字体文件有哪些值 对应的值
['.notdef', 'period', 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine']
# print(world.getBestCmap()) # 获得对应的字符对应的值
{100181: 'two', 100183: 'zero', 100184: 'three', 100185: 'eight', 100186: 'seven', 100187: 'six', 100188: 'period', 100189: 'four', 100190: 'five', 100191: 'nine', 100192: 'one'}
第三步
走到这一步就简单了，读取静态页面，替换乱码 和上面的键一一对应，这样就知道
number_dict = {
'.notdef': "我在找我的派大星",
'period': '.',
'zero': '0',
'one': '1',
'two': '2',
'three': '3',
'four': '4',
'five': '5',
'six': '6',
'seven': '7',
'eight': '8',
'nine': '9',
}
PS：
python 字体处理的包 from fontTools.ttLib import TTFont
但是 这个是读取文件，修改TTFont 源代码
自己稍微修改了一下源代码 命名为 XYYTTFont 可以直接读取content流数据，这样就不用读取文件 直接请求链接的流数据，（避免今后多进程 文件名的问题，）
起点详情字体解密git地址：
欢迎star
我知道你很懒，下面是源码，有些包还是得去git 看，目录里还有其他的
# -*- coding:utf-8 -*-
# Chance favors the prepared mind.
# author : pyl owo,
# time : 2020/9/21
import json
import random
import re
from fake_useragent import UserAgent
from fontTools.ttLib import TTFont
from lxml import etree
import requests
from my_font_content import XYYTTFont
# 获取代理
def get_proxy():
pass
# 统一请求函数
def unify_requests(method="GET",url="",headers={},proxies={},data={},verify=False,cookies={}):
if method=="GET":
response = requests.get(url, headers=headers,proxies=proxies,data=data,cookies=cookies,timeout=5)
return response
else:
response = requests.post(url, headers=headers,proxies=proxies,data=data,verify=verify,cookies=cookies,timeout=5)
return response
class SFQingNovel:
def __init__(self, use_proxy=True):
self.proxy = get_proxy() if use_proxy else None
self.headers = {
'User-Agent': UserAgent().random,
"Proxy-Tunnel": str(random.randint(1, 10000)),
'authority': 'book.qidian.com',
'cache-control': 'max-age=0',
'upgrade-insecure-requests': '1',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36',
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'sec-fetch-site': 'same-site',
'sec-fetch-mode': 'navigate',
'sec-fetch-user': '?1',
'sec-fetch-dest': 'document',
'referer': 'https://www.qidian.com/',
'accept-language': 'zh-CN,zh;q=0.9',
# 'Cookie': 'newstatisticUUID=1600686041_884209914; _csrfToken=nXOEpjuFF7PUkwPJoOkBd7dTo2BV5jSkPu3suGGs'
}
# self.novel_url_pre = "https://t.shuqi.com/cover/"
# 获取小说所有详细信息
def get_novel_info(self, novel_url, **kwargs):
respose = unify_requests(url=novel_url, headers=self.headers, proxies=self.proxy)
search_result = self.parse_novel_info(respose, novel_url, **kwargs)
return search_result
def get_id(self, novel_url, **kwargs):
return novel_url.split('/')[-1]
def get_info(self, info_response, **kwargs):
number_dict = {
'.notdef': "薛忆阳",
'period': '.',
'zero': '0',
'one': '1',
'two': '2',
'three': '3',
'four': '4',
'five': '5',
'six': '6',
'seven': '7',
'eight': '8',
'nine': '9',
}
response = info_response
# 拿到下载字体的网址
# @font-face.*?src: url.*?src: url(.*?) format('woff'),
content = re.search(re.compile(r"@font-face.*?src: url.*?src: url(.*?)format.*?,", re.S), response.text)
# ('https://qidian.gtimg.com/qd_anti_spider/yMxThZoL.woff')
font_url = content.groups()[0].strip("( | )").strip("'")
# print(font_url)
font_content = unify_requests(url=font_url, headers={
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:60.0) Gecko/20100101 Firefox/60.0'}, proxies=self.proxy).content
# with open('qidian_lx.woff', 'wb') as f:
# f.write(font_content)
#
# font1 = TTFont('qidian_lx.woff')
# font1.saveXML('qidian_lx.xml')
# 源码中提取十进制数据:
data = re.findall(re.compile(
r'.*?.*?(.*?).*?(.*?).*?(.*?).*?(.*?)',
re.S), response.text)[0]
four_list = []
# 遍历这四组数据
for d in data:
# print(d) # 拿到元组中的一个 𘜸𘜹𘜹𘜶𘜽𘜽
one_list = []
d = d.split(';') # 去除分号
# 遍历每组数据
for x in d:
res = x.replace('&#', '')
if res: # 判断是否有空格有的话不转化
# 将res十进制转化成16进制
a = int(res) # 先转化成int类型
one_list.append(a)
four_list.append(one_list)
map_dict = XYYTTFont(font_content).getBestCmap()
# print(map_dict)
result_list = []
# 遍历含有四组数据的列表
for one in four_list:
two_string = ""
# 遍历每一组数据
for a in one:
# print("a",a)
if a in map_dict:
number = map_dict[a] # 找到对应的键
number = number_dict[number] # 通过键找到对应的值
# print(number)
two_string += number
result_list.append(two_string)
return result_list
def get_int_num(self, numstr):
if '.' in numstr:
return int(numstr.replace('.','')) * 100
else:
return int(numstr)
# 搜索视频响应解析
def parse_novel_info(self, respose_info, novel_url='', **kwargs) -> dict:
try:
# print(novel_url)
response_data = etree.HTML(respose_info.text)
info_list = self.get_info(respose_info, **kwargs)
except Exception as e:
print(e)
return {}
else:
# info_book_dict = info_dict.get('book', {})
novel_dict = dict()
novel_dict['all_recommend_str'] = self.get_int_num(info_list[2]) # 总推荐数 str book_interact
novel_dict['month_recommend_str'] = None # 月推荐数 str
novel_dict['week_recommend_str'] = self.get_int_num(info_list[3]) # 周推荐数 str
novel_dict['all_read_int'] = None # 总阅读数 int
novel_dict['month_read_int'] = None # 月阅读数 int
novel_dict['week_read_int'] = None # 周阅读数 int
novel_dict['all_words_number_int'] = self.get_int_num(info_list[0]) # 总字数
novel_dict['book_status_str'] = response_data.xpath('//p[@class="tag"]/span/text()')[0] # 书籍状态 （连载，完结，暂无）bookCP
novel_dict['book_property_str'] = response_data.xpath('//p[@class="tag"]/span/text()')[1] # 书籍属性 （免费，会员，限免）
novel_dict['author_type_str'] = "".join(response_data.xpath('//div[@class="author-photo"]/span/text()')) # 作者类型 （金牌，签约，独立 默认无）
novel_dict['book_type_str'] = '|'.join(response_data.xpath('//p[@class="tag"]/a/text()')) # 书籍分类 （玄幻 ,科幻，言情...）按搜索结果来多个按｜分割
novel_dict['book_update_time'] = ''.join(response_data.xpath('//li[@class="update"]/div/p[@class="cf"]/em/text()')) # 书籍更新日期 年-月-日
novel_dict['book_zong_zhang_jie_int'] = '' # 书籍总的章节 完结的，未完结就填目前的总章节
novel_dict['book_zui_xin_zhang_jie_name_str'] = ''.join(response_data.xpath('//li[@class="update"]/div/p[@class="cf"]/a/text()')) # 最新章节名称
novel_dict['book_introduce_text'] = ''.join(response_data.xpath('//div[@class="book-intro"]/p//text()')).replace(' ', '').replace('\u3000', '').replace('\r', '').replace('\n', '').replace('\t', '') # 书籍简介 text
novel_dict['book_lable_str'] = '|'.join(response_data.xpath('//p[@class="tag"]/a/text()')) # 书籍标签 （用｜分割的字符串 ''科幻｜现实｜励志''）
novel_dict['book_cover_image_str'] = "https:" + "".join(response_data.xpath('//div[@class="book-information cf"]/div[@class="book-img"]/a/img/@src')).replace('\n', '') # 书籍封面 URL
novel_dict['book_detail_url_str'] = novel_url # 书籍详情URL
novel_dict['book_detail_id_int'] = None # 书籍详情ID 数字形式
novel_dict['book_detail_id_str'] = None # 书籍详情ID 字符形式
novel_dict['book_zhan_dian_str'] = None # 书籍站点 （男生，女生，暂无）
novel_dict['book_publish_str'] = '起点中文网' # 出版社 默认侵权平台'
novel_dict['book_commeds_int'] = None # 书籍评论数 Pinglunfont
novel_dict['author_grade_float'] = None # 作者评分
novel_dict['author_id_str'] = None # 作者ID 字符形式 ## 新增
novel_dict['author_page_url_str'] = "https:" + ''.join(response_data.xpath('//a[@class="writer"]/@href')) # 作者主页链接 userId
author_info_data = response_data.xpath('//ul[@class="work-state cf"]/li/em/text()')
novel_dict['author_book_number_int'] = author_info_data[0] # 作者书籍总数
novel_dict['author_likes_int'] = None # 作者获赞总数
novel_dict['author_all_words_number_str'] = author_info_data[1] # 作者累计创作字数
novel_dict['author_produce_days_str'] = author_info_data[2] # 作者累计创作天数
novel_dict['author_fens_number_int'] = None # 作者粉丝数
novel_dict['author_head_image_url_str'] = "https:" + "".join(response_data.xpath('//div[@class="author-photo"]/a/img/@src')) # 作者头像URL
# novel_dict[''] = '' #
return novel_dict
# 统一的调用 search_novels
search_novel_info = SFQingNovel(use_proxy=True).get_novel_info
if __name__ == "__main__":
result = search_novel_info('https://book.qidian.com/info/1010734492')
print(result)