爬虫爬取豆瓣电影top100电影评分代码

爬取豆瓣电影Top100电影评分的代码通常涉及网络请求库（如Python的requests）、HTML解析库（如BeautifulSoup或 lxml）以及数据存储库（比如Pandas）。下面是一个简单的Python示例，假设我们只关注基本的HTTP请求和页面结构：

import requests
from bs4 import BeautifulSoup

# 豆瓣电影Top250的URL
url = 'https://movie.douban.com/top250'

def get_movie_ratings(url):
    response = requests.get(url)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'lxml')
        
        # 找到电影标题和评分的元素
        movie_ratings = soup.select('.item .title > a span:nth-child(1)')  # 标题
        ratings_list = soup.select('.rating_num')  # 评分
        
        data = []
        for title, rating in zip(movie_ratings, ratings_list):
            title_text = title.get_text().strip()
            rating_text = rating.get_text()
            data.append({'电影名': title_text, '评分': rating_text})
            
        return data
    else:
        print(f"请求失败，状态码：{response.status_code}")
        return []

top_movies = get_movie_ratings(url)
for i, movie in enumerate(top_movies[:10]):
    print(f"{i+1}. {movie['电影名']} - 评分：{movie['评分']}")