不要简化步骤，请给详细代码

当然，以下是详细的Python代码示例，包含了所有步骤，包括异常处理和分页抓取（如果需要的话）。请注意，由于豆瓣网站可能会有反爬策略，实际运行时请遵守网站的robots.txt协议，并适当设置延时以减少对服务器的压力。

import requests
from bs4 import BeautifulSoup
import time
import csv
import pandas as pd

# 分页函数
def fetch_page(start):
    url = f"https://movie.douban.com/top250?start={start}"
    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, headers=headers)
    
    if response.status_code != 200:
        print(f"Error: {response.status_code}")
        return None
    
    return BeautifulSoup(response.text, 'lxml')

# 主体抓取和保存数据
data_list = []

for i in range(0, 250, 25):  # 每次抓取25部电影，模拟总共有10页
    page_soup = fetch_page(i)
    if not page_soup:
        break

    movies_in_page = page_soup.find_all('div', class_='hd')

    for movie in movies_in_page:
        title = movie.h3.a['title']
        director = movie.find('span', attrs={'property': 'v:director'}).text
        writer = movie.find('span', attrs={'itemprop': 'writer'}).text
        stars = movie.find('span', attrs={'itemprop': 'actors'}).text
        genres = movie.find('span', itemprop='genre').text
        release_date = movie.find('span', itemprop='datePublished').text
        runtime = movie.find('span', text=lambda text: '时' in text).text
        rating_count = movie.find('span', attrs={'class': 'rating_num'}).text
        
        try:
            brief_intro = movie.find('p', itemprop='description').text
        except AttributeError:
            brief_intro = "无剧情简介"
        
        data_list.append({
            '标题': title,
            '导演': director,
            '编剧': writer,
            '主演': stars,
            '类型': genres,
            '上映时间': release_date,
            '片长': runtime,
            '评分人数': rating_count,
            '剧情简介': brief_intro
        })

    # 设置延迟以避免过于频繁的请求
    time.sleep(1)

# 将数据保存到CSV文件
df_movies = pd.DataFrame(data_list)
df_movies.to_csv('豆瓣电影Top250详情.csv', index=False)