import requests import random import parsel visited_urls = set() # 保存已经访问过的链接 page = 1 while True: # 循环爬取 url = f'https://travel.qunar.com/travelbook/list.htm?page={page}&order=hot_heat' html_data = requests.get(url).text selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() # 遍历当前页面中的所有链接 for li in lis: detail_url = 'https://travel.qunar.com' + li if detail_url in visited_urls: # 如果链接已经访问过，则跳过 continue visited_urls.add(detail_url) # 将链接加入集合中 detail_html = requests.get(detail_url).text time.sleep(random.randint(3, 5)) detail_selector = parsel.Selector(detail_html) title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get() comment = detail_selector.css('.title.white::text').get() view_count = detail_selector.css('.view_count::text').get() date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get() days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get() money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get() character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get() play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall() for play in play_list: print(play) print(title, comment, view_count, date, days, money, character, play_list, detail_url) time.sleep(random.randint(3, 5)) # 判断是否需要继续爬取 if len(lis) == 0 or page >= 20: break page += 1这段代码怎么将爬取出来的所有数据保存到csv文件

你可以使用 Python 自带的 csv 模块将数据保存到 CSV 文件中。在你的代码中，你可以在循环中将每个页面的数据添加到一个列表中，然后在退出循环后将整个列表保存到 CSV 文件中。以下是修改后的代码：

import requests
import random
import parsel
import csv

visited_urls = set()  # 保存已经访问过的链接
page = 1
data_list = []  # 保存所有数据

while True:  # 循环爬取
    url = f'https://travel.qunar.com/travelbook/list.htm?page={page}&order=hot_heat'
    html_data = requests.get(url).text
    selector = parsel.Selector(html_data)
    lis = selector.css('.list_item h2 a::attr(href)').getall()

    # 遍历当前页面中的所有链接
    for li in lis:
        detail_url = 'https://travel.qunar.com' + li
        if detail_url in visited_urls:  # 如果链接已经访问过，则跳过
            continue
        visited_urls.add(detail_url)  # 将链接加入集合中

        detail_html = requests.get(detail_url).text
        time.sleep(random.randint(3, 5))
        detail_selector = parsel.Selector(detail_html)

        title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get()
        comment = detail_selector.css('.title.white::text').get()
        view_count = detail_selector.css('.view_count::text').get()
        date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get()
        days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get()
        money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get()
        character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get()
        play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall()

        # 将当前页面的数据添加到列表中
        data_list.append([title, comment, view_count, date, days, money, character, play_list, detail_url])

        for play in play_list:
            print(play)

        print(title, comment, view_count, date, days, money, character, play_list, detail_url)
        time.sleep(random.randint(3, 5))

    # 判断是否需要继续爬取
    if len(lis) == 0 or page >= 20:
        break
    page += 1

# 将所有数据保存到 CSV 文件中
with open('data.csv', 'w', newline='', encoding='utf-8-sig') as f:
    writer = csv.writer(f)
    writer.writerow(['标题', '评论', '浏览数', '日期', '天数', '花费', '人物', '玩法', '链接'])
    for data in data_list:
        writer.writerow(data)

该代码将数据保存到名为 `data.csv` 的文件中，并在文件中包括标题、评论、浏览数、日期、天数、花费、人物、玩法和链接等信息。