请使用python爬取https://hotels.ctrip.com/网站上20页的二星级三星级四星级五星级房间的数据

好的，这个任务需要用到Python中的requests库和BeautifulSoup库来爬取和解析网页内容。以下是代码实现：

import requests
from bs4 import BeautifulSoup

url = 'https://hotels.ctrip.com/'
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'}

# 获取每个星级酒店的链接
star_urls = {}
for star in range(2, 6):
    params = {'star': star}
    html = requests.get(url + 'hotel', headers=headers, params=params).text
    soup = BeautifulSoup(html, 'html.parser')
    links = soup.select('.hotel_list .hotel_new_list a.hotel_name')
    star_urls[star] = [link['href'] for link in links]

# 爬取每个房间的数据
data = []
for star in range(2, 6):
    for link in star_urls[star]:
        for page in range(1, 21):
            params = {'hotelId': link.split('/')[-1], 'pageIndex': page}
            html = requests.get(url + 'hotel/dianping/' + link.split('/')[-1], headers=headers, params=params).text
            soup = BeautifulSoup(html, 'html.parser')
            rooms = soup.select('.hotel_comment_list .comment_block')
            for room in rooms:
                room_data = {}
                room_data['hotel'] = soup.select_one('.hotel_name').get_text(strip=True)
                room_data['star'] = star
                room_data['room'] = room.select_one('.room_name').get_text(strip=True)
                room_data['price'] = room.select_one('.comment_txt span').get_text(strip=True)
                data.append(room_data)

print(data)

这段代码首先获取了每个星级酒店的链接，然后通过循环遍历每个链接，以及每个链接的前20页，来爬取每个房间的数据。最终将所有数据存储在列表中，输出到屏幕上。

需要注意的是，由于该网站有反爬机制，因此需要设置headers来模拟浏览器发送请求。同时，代码中使用了BeautifulSoup库来解析网页内容，需要先使用pip安装该库。