写出python requests库爬取豆瓣电影和电视剧的信息，信息包含名称，评分，导演，演员，编剧，上映/播出时间，类型，评分，观看人数，并以CSV文件形式保存到本地的代码

下面是爬取电影信息的代码：

import requests
import csv

url = 'https://movie.douban.com/j/search_subjects'
params = {
    'type': 'movie',
    'tag': '热门',
    'page_limit': 50,
    'page_start': 0
}

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

response = requests.get(url, params=params, headers=headers)
data = response.json()['subjects']

filename = 'movie.csv'
with open(filename, 'w', newline='', encoding='utf-8') as f:
    writer = csv.writer(f)
    writer.writerow(['名称', '评分', '导演', '演员', '编剧', '上映时间', '类型', '评价人数'])
    for item in data:
        url = item['url']
        response = requests.get(url, headers=headers)
        html = response.text
        
        name = item['title']
        score = item['rate']
        director = ''
        actor = ''
        writer = ''
        release_date = ''
        genre = ''
        rating_count = ''
        
        # 解析电影详情页面
        lines = html.split('\n')
        for line in lines:
            if '导演' in line:
                director = line.split(':')[1].strip()
            elif '主演' in line:
                actor = line.split(':')[1].strip()
            elif '编剧' in line:
                writer = line.split(':')[1].strip()
            elif '上映日期' in line:
                release_date = line.split(':')[1].strip()
            elif '类型' in line:
                genre = line.split(':')[1].strip()
            elif '评价人数' in line:
                rating_count = line.split(':')[1].strip()

        writer.writerow([name, score, director, actor, writer, release_date, genre, rating_count])

下面是爬取电视剧信息的代码：

import requests
import csv

url = 'https://movie.douban.com/j/search_subjects'
params = {
    'type': 'tv',
    'tag': '热门',
    'page_limit': 50,
    'page_start': 0
}

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

response = requests.get(url, params=params, headers=headers)
data = response.json()['subjects']

filename = 'tv.csv'
with open(filename, 'w', newline='', encoding='utf-8') as f:
    writer = csv.writer(f)
    writer.writerow(['名称', '评分', '导演', '演员', '编剧', '播出时间', '类型', '评价人数'])
    for item in data:
        url = item['url']
        response = requests.get(url, headers=headers)
        html = response.text
        
        name = item['title']
        score = item['rate']
        director = ''
        actor = ''
        writer = ''
        air_date = ''
        genre = ''
        rating_count = ''
        
        # 解析电视剧详情页面
        lines = html.split('\n')
        for line in lines:
            if '导演' in line:
                director = line.split(':')[1].strip()
            elif '主演' in line:
                actor = line.split(':')[1].strip()
            elif '编剧' in line:
                writer = line.split(':')[1].strip()
            elif '首播' in line:
                air_date = line.split(':')[1].strip()
            elif '类型' in line:
                genre = line.split(':')[1].strip()
            elif '评价人数' in line:
                rating_count = line.split(':')[1].strip()

        writer.writerow([name, score, director, actor, writer, air_date, genre, rating_count])