学习日志，更新起点爬虫，下载已经付费订阅vip的章节

欢迎有大佬指点优化。

import requests
from pyquery import PyQuery as pq
import json
import sys

def load(name):
    # 获取起点的搜索页面
    url_select = 'https://www.qidian.com/search?kw=' + name
    response_select = requests.get(url_select).content.decode('utf8')
    doc_select = pq(response_select)
    # clear 加了items变成了生成器，
    clear_select = doc_select('.book-mid-info h4 a').items()
    # 获取书id，使用next进行迭代，由于只取第一个数据，所以不用for
    data_eid = next(clear_select).attr('data-bid')
    # print(data_eid)
    # 获取章节目录
    url_catalog = 'https://book.qidian.com/ajax/book/category?_csrfToken' \
                  '=KxOyODbbsZHWGtIfUsnDEqI9teZBDuUDC4QJ5YsZ&bookId=' + data_eid
    response_catalog = requests.get(url_catalog).content.decode('utf8')
    # 返回的是json格式其中包含起点所有的章节需要的id
    Json = json.loads(response_catalog)

    # 分析Json结构
    date = Json["data"]
    vs = date["vs"]
    for i in vs:
        cs = i["cs"]  # 包含正文的url的id以及章节名称
        vN = i["vN"]  # 分卷名称
        # with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
        #     f.write(str(cs) + '\n')
        if vN == '作品相关':
            continue
        elif vN == 'VIP卷':
            for cU in cs:
                only = cU["id"]  # id是vip章节url的id
                cN = cU["cN"]  # 章节名称
                list_cU = {cN: str(only)}
                vip(list_cU, data_eid)
        else:
            for cU in cs:
                only = cU["cU"]  # cU是章节url的id
                cN = cU["cN"]  # 章节名称
                list_cU = {cN: only}
                down(list_cU)

# Cookie内容需要用自己账号登陆后产生的
headers = {

            'Cookie': ''
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KH'
                          'TML, like Gecko) Chrome/80.0.3987.132 Safari/537.36'
        }


# 已经订阅的VIP章节
def vip(ID_url, data_eid):
    # key是章节名称，value章节id
    for key, value in ID_url.items():
        # 组合完成的每一章节的url
        urls = f'https://vipreader.qidian.com/chapter/{data_eid}/{value}'
        response = requests.get(urls, headers=headers).content.decode('utf8')
        text = pq(response)
        # 使用PyQuery 筛选正文内容
        text_w = text(".read-content.j_readContent p")
        # 写入标题
        with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
            f.write(str(key) + '\n')
        # 由于起点是每句一个
加属性 i获得是属性，需要加text方法获得内容
        # 之所以不整个列表打印，是因为好看=-=所以和页面同步，逐段打印
        for i in text_w:
            # 为了减少不必要的运行，一般未订阅的VIP章节，只能看三行，字数必然小于1000就直接停止程序
            if len(text_w.text()) > 1500:
                with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
                    f.write(str(i.text) + '\n')
            else:
                with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
                    f.write('对不起，未订阅' + '\n')
                sys.exit()


# 免费章节
def down(ID_url):
    # key是章节名称，value章节id
    for key, value in ID_url.items():
        # 组合完成的每一章节的url
        urls = 'https://read.qidian.com/chapter/' + value
        response = requests.get(urls).content.decode('utf8')
        text = pq(response)
        # 使用PyQuery 筛选正文内容
        text_w = text(".read-content.j_readContent p")
        # 写入标题
        with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
            f.write(str(key) + '\n')
        # 由于起点是每句一个
加属性 i获得是属性，需要加text方法获得内容
        for i in text_w:
            with open(r'D:\Users\MSI-PC\Desktop\123.txt', encoding='utf8', mode='a+') as f:
                f.write(str(i.text) + '\n')


if __name__ == '__main__':
    namebook = input('请输入小说名称: ')
    load(namebook)