没有vip所以并没爬取小说内容，这里主要是解决起点小说字数的反反爬

import random

import requests
import re
import csv
from fontTools.ttLib import TTFont
from io import BytesIO
from pyquery import PyQuery as pq

class Spider(object):
def init(self):
# 代理ip列表
self.proxy_list = [{"http": ‘219.138.58.114:3128‘}, {"http": ‘61.135.217.7:80‘}, {"http": ‘101.201.79.172:808‘},
{‘http‘: ‘122.114.31.177:808‘}]
# 用户代理列表
self.user_list = [
‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.89 Safari/537.36‘,
‘User-Agent:Mozilla/5.0(compatible;MSIE9.0;WindowsNT6.1;Trident/5.0‘,
‘Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.133 Safari/534.16‘,
‘Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.133 Safari/534.16‘]
self.index = random.randint(0, 3)
self.base_url = ‘https://www.qidian.com/all?orderId=&style=1&pageSize=20&siteid=1&pubflag=0&hiddenField=0&page=‘
self.headers = {"User-Agent": self.user_list[self.index]}

def send_request(self, page_url):
    data = requests.get(page_url, headers=self.headers).content.decode('utf-8')
    return data

def get_font(self, url):
    response = requests.get(url)
    font = TTFont(BytesIO(response.content))
    cmap = font.getBestCmap()
    font.close()
    return cmap

def get_encode(self, cmap, values):
    WORD_MAP = {'zero': '0', 'one': '1', 'two': '2', 'three': '3', 'four': '4', 'five': '5', 'six': '6',
                'seven': '7',
                'eight': '8', 'nine': '9', 'period': '.'}
    word_count = ''
    for value in values.split(';'):
        value = value[2:]
        key = cmap[int(value)]
        word_count += WORD_MAP[key]
    return word_count

def parse(self, data, page_url):
    """清洗数据"""
    # 编写正则表达式
    book_name = r'<h4><a href="(.*?)" target="_blank" data-eid=".*?" data-bid="\d*?">(.*?)</a></h4>'  # 链接+书名
    book_author = r'<a class="name" href=".*?" data-eid=".*?" target="_blank">(.*?)</a>'  # 作者
    book_type1 = r'<a href=".*?" target="_blank" data-eid=".*?">(.*?)</a>'  # 类型
    # 新增一个类型
    book_type2 = r'<a class="go-sub-type" data-typeid="\d*?" data-subtypeid="\d*?" href="javascript:" data-eid=".*?">(.*?)</a>'  # 类型
    book_state = r'<span >(.*?)</span>'  # 状态
    book_intro = r'<p class="intro">(.*?)</p>'  # 简介
    # book_link = r'<h4><a href="//book.qidian.com/info/1010734492" target="_blank" data-eid="qd_B58" data-bid="1010734492">.*?</a></h4>'  # 链接

    informations = book_name + r'.*?' + book_author + r'.*?' + book_type1 +                    r'.*?' + book_type2 + r'.*?' + book_state + r'.*?' + book_intro
    # 返回一个正则表达式对象
    reg = re.compile(informations, re.S)
    # 开始查找所有信息
    contents_list = re.findall(reg, data)
    # print(contents_list)

    # 获取当前页面的html
    response = requests.get(page_url).text
    doc = pq(response)
    # 获取当前字体文件名称
    classattr = doc('p.update > span > span').attr('class')
    cla = doc('p.update > span > span')
    # print(cla)
    pattern = '</style><span.*?%s.*?>(.*?)</span>' % classattr
    # 获取当前页面所有被字数字符
    numberlist = re.findall(pattern, response)
    # 获取当前包含字体文件链接的文本
    fonturl = doc('p.update > span > style').text()
    # 通过正则获取当前页面字体文件链接
    url = re.search('woff.*?url.*?\'(.+?)\'.*?truetype', fonturl).group(1)
    cmap = self.get_font(url)

    contents = []
    # 遍历每一个作品信息，进行修改
    i = 0
    for content in contents_list:
        content = list(content)
        # print(content)
        new_content = content[1:3]  # 书名+作者
        new_content.append('https:' + content[0])  # 链接
        new_content.append(content[3] + '-' + content[4])  # 类型
        new_content.append(content[5])  # 状态
        new_content.append(self.get_encode(cmap, numberlist[i][:-1]) + '万字')  # 字数
        new_content.append(content[6].strip())  # 简介
        # 添加到列表
        contents.append(new_content)
        print(contents)
        i += 1

    return contents

def write(self, contents, csv_writer):
    """保存内容"""
    for content in contents:
        csv_writer.writerow(content)

def run(self, pages=1):
    # 设置分类
    fileheader = ['作品', '作者', '链接', '类型', '状态', '字数', '简介']
    # 创建csv文件
    with open('qidian.csv', 'w', newline='', encoding='gb18030') as f:
        csv_writer = csv.writer(f)
        # 把fileheader的内容写入csv文件中
        csv_writer.writerow(fileheader)

        for page in range(1, pages + 1):
            # 设置url
            page_url = self.base_url + str(page)
            print(page_url)
            # 请求数据
            data = self.send_request(page_url)
            # 清洗数据
            contents = self.parse(data, page_url)
            # 写入数据
            self.write(contents, csv_writer)

if name == ‘main‘: Spider().run(2)