任务一：采集唐诗三百首内容 python import requests from bs4 import beautifulsoup import pandas as pd url = "https://so.gushiwen.cn/gushi/tangshi.aspx" response = requests.get(url) soup = beautifulsoup(response.text, "html.parser") poems = [] for poem in soup.find_all("div", class_="item"): title = poem.find("h1").text.strip() content = poem.find("p").text.strip() author = poem.find("span", class_="author").text.strip() poem_type = "唐诗" poems.append(

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AI写代码神器
任务一：采集唐诗三百首内容 python import requests from bs4 import beautifulsoup import pandas as pd url = "https://so.gushiwen.cn/gushi/tangshi.aspx" response = requests.get(url) soup = beautifulsoup(response.text, "html.parser") poems = [] for poem in soup.find_all("div", class_="item"): title = poem.find("h1").text.strip() content = poem.find("p").text.strip() author = poem.find("span", class_="author").text.strip() poem_type = "唐诗" poems.append(（15点数解答 | 2024-06-24 15:46:11）177
AI写代码神器
import requests from bs4 import beautifulsoup def get_poems(): url = "https://so.gushiwen.cn/gushi/tangshi.aspx" response = requests.get(url) response.encoding = "utf-8" soup = beautifulsoup(response.text, "html.parser") # 获取所有的诗列表 poem_list = soup.find_all("div", class_="typecont") poems = [] # 遍历诗列表，提取相关信息 for poem in poem_list: # 获取诗类型 poem_type = poem.find_previous_sibling("div", class_="bookml").find("span").text # 获取诗题目（316点数解答 | 2024-06-24 00:59:22）147
AI写代码神器
import requests from bs4 import beautifulsoup import pandas as pd url = "https://so.gushiwen.cn/gushi/tangshi.aspx" response = requests.get(url) soup = beautifulsoup(response.text, 'html.parser') # 提取所需数据 poems_data = [] for row in soup.find_all('tr', class_='tlist')[1:]: cols = row.find_all('td') type_ = cols.text.strip() title = cols.a.text.strip() content = cols.text.replace('\n', '').replace('\t', '') author = cols.text.strip() poems_data.append([type_, title, conte（120点数解答 | 2024-06-24 02:04:56）175
AI写代码神器
import requests from bs4 import beautifulsoup # 爬取唐诗三百首的内容 def scrape_data(): url = "https://so.gushiwen.cn/gushi/tangshi.aspx" headers = { "user-agent": "mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko) chrome/89.0.4389.82 safari/537.36" } response = requests.get(url, headers=headers) if response.status_code == 200: soup = beautifulsoup(response.text, "html.parser") content_divs = soup.find_all('div', c（443点数解答 | 2024-06-24 01:16:00）165
AI写代码神器
def fill_and_submit_form(row): print("填充表单并提交...") wait = webdriverwait(driver, 5) # 增加等待时间 try: product_name_input = wait.until(ec.presence_of_element_located((by.xpath, '//*[@id="wcontentpanel"]/div[3]/div/div[2]/form/div[1]/div[3]/div/div/div[1]/input'))) product_category_dropdown = wait.until(ec.element_to_be_clickable((by.xpath, '//*[@id="wcontentpanel"]/div[3]/div/div[2]/form/div[1]/div[4]/div/div/div/span/span/div/div[1]'))) time.sleep(2) # 等待完成（361点数解答 | 2024-11-11 21:56:42）76
AI写代码神器
为了完成上述任务，我将分步骤提供代码。首先，我会提供任务一的代码，用于从网站采集唐诗三百首的内容并保存到txt文件中。 ### 任务一：采集唐诗三百首内容 ```python import requests import re # 定义爬取函数 def fetch_poems(url): response = requests.get(url) poems_info = re.findall( r'<a href="(.*?)"\s*target="_blank" title="(.*?)">\s*<span\s*style="font-size:16px;">(.*?)</span>\s*</a>', response.text, re.s ) poems = [] for info in poems_info: poem_url = "https://so.gushiwen.cn" + info[0] poem_response = requests（208点数解答 | 2024-06-23 11:07:39）142
AI写代码神器
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>2048 Game</title> <link rel="stylesheet" href="style.css"> </head> <body> <header> <h1>2048</h1> <button id="newGameButton">New Game</button> <p>Score: <span id="score">0</span></p> </header> <div id="grid-container"> <div class="grid-cell" id="grid-cell-0-0"></div> <div class="grid-cell" id="grid-cell-0-1"></div> <div class="grid-cell" id="grid-cell-0-2">（138点数解答 | 2025-03-05 15:45:36）158
AI写代码神器
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>2048 Game</title> <link rel="stylesheet" href="style.css"> </head> <body> <header> <h1>2048</h1> <button id="newGameButton">New Game</button> <p>Score: <span id="score">0</span></p> </header> <div id="grid-container"> <div class="grid-cell" id="grid-cell-0-0"></div> <div class="grid-cell" id="grid-cell-0-1"></div> <div class="grid-cell" id="grid-cell-0-2">（117点数解答 | 2025-03-11 00:06:25）57
AI写代码神器
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>2048 Game</title> <link rel="stylesheet" href="style.css"> </head> <body> <header> <h1>2048</h1> <button id="newGameButton">New Game</button> <p>Score: <span id="score">0</span></p> </header> <div id="grid-container"> <div class="grid-cell" id="grid-cell-0-0"></div> <div class="grid-cell" id="grid-cell-0-1"></div> <div class="grid-cell" id="grid-cell-0-2">（201点数解答 | 2025-04-19 11:50:42）31
AI写代码神器
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>2048 Game</title> <link rel="stylesheet" href="style.css"> </head> <body> <header> <h1>2048</h1> <button id="newGameButton">New Game</button> <p>Score: <span id="score">0</span></p> </header> <div id="grid-container"> <div class="grid-cell" id="grid-cell-0-0"></div> <div class="grid-cell" id="grid-cell-0-1"></div> <div class="grid-cell" id="grid-cell-0-2">（181点数解答 | 2025-04-29 20:58:02）13
AI写代码神器
爬取二手房信息包括卖点楼盘地址户型建筑面积所在楼层建造年代单价网址为 https://dalian.anjuke.com/sale/ 写一下他的解析函数可以爬取到数据仿照如下函数格式写 def parser(html): #解析函数 doc=etree.html(html) #html转换为soup对象 out_list=[] for row in doc.xpath("//div[@id='content']//li"): #书名 title=row.xpath(".//h2/a/text()")[0].strip() #评分 score=row.xpath(".//p[@class='rating']/span[2]/text()")[0].strip() #info为作者、出版社、出版日期的列表，通过/分隔 info=row.xpath(".//p[@class='color-gray']/text()")[0].strip().split(（854点数解答 | 2024-11-02 08:56:33）93
AI写代码神器
import openpyxl import smtplib import imaplib import email import json import os import re from bs4 import BeautifulSoup from fastapi import FastAPI, Form from openpyxl.styles import Alignment from email.mime.multipart import MIMEMultipart from email.mime.base import MIMEBase from email.header import decode_header from email import encoders import pandas as pd app = FastAPI() RECEIVER_EMAILS = { 0: "yundongshijie001@protonmail.com", 1: "xiaobudian001@protonmail.com" } email_address = "（182点数解答 | 2025-04-12 00:49:09）29

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