selector.css(

#解析数据 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))这段代码为什么只能输出最后一个网站的内容，应该怎么修改

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 = ...

selector.css 同时提取link与text

python from bs4 import BeautifulSoup ... # 提取所有的链接 links = [link.get('href') for link in soup.find_all('a')] ...# 提取所有的文本 texts = [text.strip() for text in soup.stripped_strings] ...

selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com' + li detail_html = requests.get(detail_url).text details.append(detail_html) time.sleep(random.randint(3, 5)) # 每次请求后等待一段时间，避免请求频繁被封 for detail_html in details: # 解析数据 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)这段代码输出的文字可以匹配，但是网站都是同一个，要怎么改

如果您想爬取同一个网站的不同分类、不同标签或不同页面的游记，可以修改html_data的值为对应页面的HTML源码，并修改lis的值为对应页面中游记链接所在的CSS选择器。例如，如果您要爬取...

lis = selector.css('.grid_view li')详细解释一下这段代码

- css('.grid_view li') 是 selector 对象的一个方法，用于返回所有匹配 CSS 选择器 '.grid_view li' 的元素列表。 - '.grid_view li' 是一个 CSS 选择器，它的意思是选择所有具有 class 属性值为 'grid_...

指出下面这段代码存在的问题import scrapy from scrapy import Request,Selector from TaobaoSpider.items import TaobaospiderItem class TaobaoSpider(scrapy.Spider): name = 'taobao' allowed_domains = ['taobao.com'] def start_requests(self): keywords = ['手机', '笔记本电脑', '键鼠套装'] for keyword in keywords: for page in range(2): url = f'https://s.taobao.com/search?q={keyword}&s={48 * page}' yield Request(url=url) # def parse_detail(self, response, kwargs): # pass def parse(self, response, kwargs): # 通过selenium帮助我们拿到淘宝页数据,在数据管道中实现 sel = Selector(response) selectors = sel.css('div.items > item.J_MouserOnverReq.item-ad > div.ctx-box.J_MouseEneterLeave.J_IconMoreNew') for selector in selectors: # type: Selector item = TaobaospiderItem() item['title'] = ''.join(selector.css('div.row.row-2.title > a> span::text').extract()).strip() item['price'] = selector.css('div.row.row-1.g-clearfix > div.price.g_price.g_price-highlight > strong::text').extract_first().strip() item['deal_count'] = selector.css('div.row.row-1.g-clearfix > div.deal-cnt::text').extract_first().strip() item['shop'] = selector.css('div.row.row-3.g-clearfix > div.shop > a > span:nth-child(2)::text').extract_first().strip() item['location'] = selector.css('div.row.row-3.g-clearfix > div.location::text').extract_first().strip() yield item

1. 第二行的 import Selector 应该改为 from scrapy.selector import Selector，因为 scrapy 模块中没有 Selector 类，Selector 类是在 scrapy.selector 模块中定义的。同时，import Request 也应该改为 from scrapy...

selector = Selector(html_date) dds = selector.css('.board-wrapper dd') for dd in dds: title = dd.css('a::attr(title)').get() star = dd.css('.star::text').get().strip() releasetime = dd.css('.releasetime::text').get() score = dd.css('.score i::text').getall() score = ''.join(score) print(title,star,releasetime,score,sep='|')

首先，使用 Selector 对象解析 HTML 页面，然后通过 css() 方法选取所有 class 为 board-wrapper 的 div 元素下的所有 dd 元素。接着，用循环遍历每个 dd 元素，获取其中的电影标题、主演、上映时间和评分信息...

selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com'+ li detail_html = requests.get(detail_url).text只能输出最后一个域名的网站

lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com' + li detail_html = requests.get(detail_url).text details.append...

driver.CSS_SELECTOR

driver.CSS_SELECTOR 是一个 Selenium WebDriver 提供的方法，用于通过选择器定位网页元素。该方法，可以使用 CSS 选择器来定位网页中的元素，并对其进行操作或提取相关信息。例如，使用 driver.find_element_by_...

import requests import parsel import csv f = open('射击.csv', mode='w', encoding='utf-8-sig', newline='') csv_writer = csv.DictWriter(f, fieldnames=['游戏名字', '游戏地址']) csv_writer.writeheader() for page in range(1, 300): url = 'https://www.4399.com/flash_fl/4_1.htm'.format(page) headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36' } response = requests.get(url=url, headers=headers) response.encoding = response.apparent_encoding selector = parsel.Selector(response.text) lis = selector.css('#classic li') for li in lis: dit ={} data_url = li.css('a::attr(href)').get() new_url = 'http://www.4399.com' + data_url.replace('http://','/') dit['游戏地址'] = new_url title = li.css('img::attr(alt)').get() dit['游戏名字'] = title print(title, new_url) csv_writer.writerow(dit)怎么改成用xpath的

你可以将 selector = parsel.Selector(response.text) 改为 selector = etree.HTML(response.text)，然后使用 XPath 语法来解析 HTML 页面，下面是修改后的代码： import requests from lxml import etree ...

分析这段python代码，import requests import parsel import csv import time f = open('book.csv', mode='a', encoding='utf-8-sig', newline='') csv_writer = csv.DictWriter(f, fieldnames=[ '标题', '推荐', '评价', '作者', '出版日期', '出版社', '原价', '售价', '折扣', '电子书价格', '详情页', ]) csv_writer.writeheader() for page in range(1,26): print(f"----------------------------正在爬取第{page}页数据--------------------------------") time.sleep(2.5) url = f"http://bang.dangdang.com/books/bestsellers/01.00.00.00.00.00-24hours-0-0-1-{page}" headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.57' } response = requests.get(url=url, headers=headers) # print(response.text) selector = parsel.Selector(response.text) lis = selector.css('ul.bang_list li') for li in lis: title = li.css('.name a::attr(title)').get() href = li.css('.name a::attr(href)').get() comment = li.css('.star a::text').get() recommend = li.css('.tuijian::text').get() author = li.css('div:nth-child(5) a:nth-child(1)::attr(title)').get() date = li.css('div:nth-child(6) span::text').get() press = li.css('div:nth-child(6) a::text').get() price_n = li.css('div.price p:nth-child(1) span.price_n::text').get() price_r = li.css('div.price p:nth-child(1) span.price_r::text').get() price_s = li.css('div.price p:nth-child(1) span.price_s::text').get() ebook = li.css('.price_e .price_n::text').get() dit = { '标题': title, '推荐': comment, '评价': recommend, '作者': author, '出版日期': date, '出版社': press, '原价': price_r, '售价': price_n, '折扣': price_s, '电子书价格': ebook, '详情页': href, } csv_writer.writerow(dit)

这段代码实现了从当当网爬取畅销书的信息，并将信息保存到CSV文件中。代码主要分为以下几个部分： 1. 导入requests、parsel、csv和time四个模块。 2. 打开CSV文件，并设置编码和标题行。 3. 通过循环爬取前25页的...

from selenium import webdriver # 导入时间模块 import time # 导入元素定位功能 from selenium.webdriver.common.by import By # driver.find_element_by_css_selector() 4 一定会报错弃用 3 # 导入数据请求模块 import requests # 数据解析模块 import parsel # 实例化一个浏览器对象 driver = webdriver.Chrome() # 打开浏览器的窗口 driver.get('https://www.jsyks.com/kmy-mnks') # 强制等待 time.sleep(2) # 最大化浏览器的窗口 driver.maximize_window() # 隐式等待智能 driver.implicitly_wait(10) # elements 返回的是一个列表对象 lis = driver.find_elements(By.CSS_SELECTOR, '.Content>li') # print(len(lis)) # print(lis) for li in lis: time.sleep(0.2) # 优先考虑使用随机数 rid = li.get_attribute('c') # print(rid) url = f'https://tiba.jsyks.com/Post/{rid}.htm' # 获取到响应体对象的文本数据 response = requests.get(url=url).text # 转对象 selector = parsel.Selector(response) answer = selector.css('#question u::text').get() # print(answer) # 重新赋值 if answer == '对': answer = '正确' elif answer == '错': answer = '错误' # else: 不确定的情况 # print(answer) bs = li.find_elements(By.CSS_SELECTOR, 'B') for b in bs: # 获取选项的内容 choose = b.text # print('题目的选项是', choose) # print('正确答案是', answer) # 可能错题 # if answer in choose: # # 正确答案的点击操作 # b.click() if len(choose) > 2: choose = choose[0] if answer == choose: b.click() # 提交试卷 driver.find_element(By.CSS_SELECTOR, '.btnJJ').click() # 添加阻塞 input() # 关闭浏览器 driver.quit()

4. 使用 CSS 选择器定位到题目的选项，并依次点击正确的选项。 5. 最后提交试卷并关闭浏览器。需要注意的是，这段代码仅供参考，不应用于非法用途。自动化测试工具应该用于测试和验证网站的功能，而不是用于作弊...

import requests import parsel headers = { 'Referer': 'https://www.ximalaya.com/', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.35' } def download_one_music(song_id, name): api_url = 'https://www.ximalaya.com/revision/play/v1/audio?id='+song_id+'&ptype=1' response = requests.get(api_url, headers=headers) src = response.json()['data']['src'] print(src) response = requests.get(src,headers=headers) print(response) with open(name + '.m4a',mode='wb')as f: f.write(response.content) response = requests.get('https://www.ximalaya.com/album/68559551',headers=headers) html =response.text selector = parser.Selector(html) lis = selector.css('li._nO') for li in lis: title = li.css('div.text._nO a::attr(title)').get() href = li.css('div.text._nO a::attr(title)').get() song_id = href.split('/')[-1] print(song_id,title)

代码中还使用了循环遍历li元素，通过CSS选择器获取到每个音乐的ID和名称，从而进行批量下载。需要注意的是，这种爬取方式可能会违反喜马拉雅网站的规定和法律法规，建议在遵守相关法律法规的前提下使用。

def get_content(html_url): response = get_response(html_url=html_url) selector = parsel.Selector(response.text) title = selector.css('.grap--h2 ::text').get() content_list = selector.css('.grap ::text').getall() content = ''.join(content_list) return title, content def main(): url = f'https://hongloumeng.5000yan.com/' name, link_list = get_novel_info(novel_url=url) for link in link_list: title, content = get_content(html_url=link) save(name, title, content) word=[] wordlist = [] #这里是定义函数加进列表里，想让entry的内容作为变量参与函数的运行 def add_to_list(): text = entry2.get() words.append(text) wordlist = [] for word in sWords: if word in words: wordlist.append(word) def function(): f=open('D:\Python文档保存\红楼梦.txt','r',encoding='utf-8') text = f.read() plt.rcParams['font.sans-serif'] = 'SimHei' sWords = jieba.lcut(text) #wordlist = [] #words = ['刘姥姥', '贾', '王夫人'] #for word in sWords: # if word in words: # wordlist.append(word) word_counts = collections.Counter(wordlist) print(wordlist) print(word_counts) #按钮3 button3=tk.Button(root,text='词频统计图',bg="#FFB6C1",command=func()) button3.place(x=320,y=165) 把前面的代码绑定在这个按钮上，改一下代码

这是一段 Python 代码，包括两个函数和两个列表。 ... main() 函数利用 get_novel_info() 函数获取小说信息（小说名和链接列表），然后遍历链接列表，调用 get_content() 函数获取每个链接对应的内容，并将小说名、...

By.CSS_SELECTOR跳转页面怎么找

如果您想通过 CSS_SELECTOR 在页面上找到一个元素并跳转到该元素所在的页面位置，可以使用如下代码： from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait ...

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selector.css 同时提取link与text

lis = selector.css('.grid_view li')详细解释一下这段代码

selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com'+ li detail_html = requests.get(detail_url).text只能输出最后一个域名的网站

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