首先查看电视剧网页结构，发现所有电视剧都在下面位置：

从中我们并未发现电视剧的链接，于是我们打开几部电视剧发现网页url有没有什么规律。
发现信息在下面文件里：

打开它的Headers：
url：http://front-gateway.mtime.com/library/movie/detail.api?tt=1617353592649&movieId=269369&locationId=290

然后我们打开另一部电视剧看看url有没有什么相同的。
url：http://front-gateway.mtime.com/library/movie/detail.api?tt=1617351165871&movieId=111754&locationId=290

我们发现其中两个url的参数tt和movieId不同。

但是我们试一试如果去掉tt看看是否能访问到内容：

url：http://front-gateway.mtime.com/library/movie/detail.api？movieId=111754&locationId=290

我们发现是能的。

所有我们只需要找到每部电视剧的movieId就可以进行所有电视剧访问了。

movieId在电视剧首页：

请按照如下形式组织代码:

get_movie_id.py

import requests


def get_movie_id(url):
    movieId_list = []
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
                      'Chrome/89.0.4389.82 Safari/537.36'
    }

    res_json = requests.get(url=url, headers=headers).json()

    # print(type(res_json))

    list_movieId = res_json['data']['items'][2]['items']

    for item in list_movieId:
        movieId_list.append(item['movieInfo']['movieId'])

    return movieId_list

get_movie_url.py

def get_movieid_url(movieId_list):
    movie_url_list = []

    for id in movieId_list:
        movie_url = 'http://front-gateway.mtime.com/library/movie/detail.api?movieId={}&locationId=290'.format(id)
        movie_url_list.append(movie_url)

    return movie_url_list

get_movie_info.py

from gevent import monkey

monkey.patch_all()

import requests
import gevent
from gevent.queue import Queue
import random

work = Queue()
movie_info = {'剧名': [], '导演': [], '主演': [], '简介': []}

headers = {
    'Accept': 'pplication/json, text/plain, */*',
    'Accept-Encoding': 'gzip, deflate',
    'Accept-Language': 'zh-CN,zh;q=0.9',
    'Connection': 'keep-alive',
    'Content-Type': 'application/json',
    'Cookie': '_tt_=5F42EA056AFCC7EBAD146F143CEE70BC; __utma=196937584.1304778651.1617260335.1617260335.1617260335.1; __utmz=196937584.1617260335.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); Hm_lvt_07aa95427da600fc217b1133c1e84e5b=1617196207,1617259101,1617346023; Hm_lpvt_07aa95427da600fc217b1133c1e84e5b=1617346629',
    'Host': 'front-gateway.mtime.com',
    'Origin': 'http://movie.mtime.com',
    'Referer': 'http://movie.mtime.com/109956/',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36 SLBrowser/7.0.0.2261 SLBChan/25',
    'X-Mtime-Wap-CheckValue': 'mtime'
}


def get_movie_info(movie_url_list, num_crawler=2):
    for url in movie_url_list:
        work.put_nowait(url)

    taskes_list = []
    for i in range(num_crawler):
        task = gevent.spawn(crawler)
        taskes_list.append(task)
    gevent.joinall(taskes_list)
    return movie_info


def crawler():
    while not work.empty():
        url = work.get_nowait()
        res = requests.get(url, headers=headers)
        # print(res.status_code)
        # if res.status_code != 200:
        #     print(url)
        res = res.json()['data']['basic']
        actors = []
        directors = []
        for actor in res['actors']:
            if actor['name']:
                actors.append(actor['name'])
        for director in res['directors']:
            if director['name']:
                directors.append(director['name'])

        title = res['name']
        story = res['story']
        movie_info['剧名'].append(title)
        movie_info['导演'].append(directors)
        movie_info['主演'].append(actors)
        movie_info['简介'].append(story)

info2csv.py

import pandas as pd


def tocsv(movie_dict, path):
    movie_info = pd.DataFrame(movie_dict)
    movie_info.to_csv(path + r'\mtime_movie_info.csv', encoding='utf-8')

main.py

from crawler.mtime.get_movie_id import get_movie_id
from crawler.mtime.get_movie_info import get_movie_info
from crawler.mtime.get_movie_url import get_movieid_url
from crawler.mtime.info2csv import tocsv

url = 'http://front-gateway.mtime.com/community/top_list/query.api?tt=1617345962465&type=2&pageIndex=1&pageSize=10'
movie_id_list = get_movie_id(url)
movie_url_list = get_movieid_url(movie_id_list)
num_crawler = 1  # 爬虫个数, 多了会被服务器关闭访问, 建议多几个headers随机用
movie_dict = get_movie_info(movie_url_list, num_crawler)
path = r'D:\Study\Python'  # 文件保存位置
tocsv(movie_dict, path)
print('OK')