import requests from bs4 import BeautifulSoup import json url ="http://170.106.117.230/?url=steam://rungame/730/76561202255233023/+csgo_econ_action_preview%20M4339827378402747041A30648261933D3039437502918428834" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'} response = requests.get(url, headers=headers) print('状态码：', response.status_code) print('响应体：', response.text) soup = BeautifulSoup(response.text, 'html.parser') print(soup.prettify()) # 找到特定的标签或者CSS选择器 item_info = '{"iteminfo":{"origin":8,"quality":4,"rarity":5,"a":"30648261933","d":"3039437502918428834","paintseed":582,"defindex":32,"paintindex":1224,"stickers":[],"floatid":"30648261933","low_rank":125,"high_rank":134,"floatvalue":0.34608370065689087,"m":"4339827378402747041","s":"0","imageurl":"http://media.steampowered.com/apps/730/icons/econ/default_generated/weapon_hkp2000_cu_p2000_decline_light_large.7f57145674a5e41b3b8e7fe70be4ffbb57ec6f84.png","min":0,"max":1,"weapon_type":"P2000","item_name":"Wicked Sick","rarity_name":"Classified","quality_name":"Unique","origin_name":"Found in Crate","wear_name":"Field-Tested","full_item_name":"P2000 | Wicked Sick (Field-Tested)"}' # 将JSON字符串解析为字典 item_dict = json.loads(item_info) # 提取floatvalue的数值 floatvalue = item_dict['iteminfo']['floatvalue'] print(floatvalue) # 打印提取的数据 floatvalue_tag = soup.find('iteminfo') if floatvalue_tag: data = floatvalue_tag.text print(data) else: print('未找到 floatvalue 标签')

Python爬虫实战教程：PPT/Word/影视/电子书全攻略

4. 爬取电子书： - 电子书的爬取涉及解析网页获取电子书的链接或者直接爬取电子书的文件。可能需要处理在线阅读器中书籍的动态加载问题，或者解析网页中的书籍目录结构，下载对应的电子书文件。 - 对于某些需要...

远程图片下载技术：利用URL读取与处理jpg/pdf等图片格式

资源摘要信息:"URL读取图片_URL读取图片_" 在当前的互联网环境中，远程图片的获取和处理是许多应用程序常见的需求。无论是前端网页展示、移动应用数据加载，还是后端服务的数据处理，能够从网络URL下载图片资源是一...

import requests from bs4 import BeautifulSoup import json url ="http://170.106.117.230/?url=steam://rungame/730/76561202255233023/+csgo_econ_action_preview%20M4339827378402747041A30648261933D3039437502918428834" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'} response = requests.get(url, headers=headers) print('状态码：', response.status_code) #print('响应体：', response.text) # 找到特定的标签或者CSS选择器 item_info = response.text # 将JSON字符串解析为字典 item_dict = json.loads(item_info) # 提取floatvalue的数值 floatvalue = item_dict['iteminfo']['floatvalue'] print(floatvalue)

具体来说，它使用requests库发送一个GET请求，并添加了一个headers参数来模拟浏览器的请求头部信息，然后使用BeautifulSoup库解析网页的HTML代码，将JSON字符串解析为字典，最后提取其中的floatvalue值。

import requests from bs4 import BeautifulSoup import re url = 'https://www.umei.net/tags/siwameitui/' domain = 'https://www.umei.net/' resp = requests.get(url) resp.encoding = 'utf-8' # print(resp.text) page = BeautifulSoup(resp.text, 'html.parser') list_li = page.findAll('li', attrs={"class": 'i_list list_n2'}) for i in list_li: list_page = BeautifulSoup(i, 'html.parser') break

from bs4 import BeautifulSoup url = 'https://www.umei.net/tags/siwameitui/' domain = 'https://www.umei.net/' resp = requests.get(url) resp.encoding = 'utf-8' page = BeautifulSoup(resp.text, '...

import requests from bs4 import BeautifulSoup url ="http://170.106.117.230/?url=steam://rungame/730/76561202255233023/+csgo_econ_action_preview%20M4339827378402747041A30648261933D3039437502918428834" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'} response = requests.get(url, headers=headers) print('状态码：', response.status_code) print('响应体：', response.text) soup = BeautifulSoup(response.text, 'html.parser') # 找到特定的标签或者CSS选择器 # 打印提取的数据 floatvalue_tag = soup.find('iteminfo') if floatvalue_tag: data = floatvalue_tag.text print(data) else: print('未找到 floatvalue 标签')

这段代码是用 Python 语言编写的，主要利用 requests 库向指定的 URL 发送 GET 请求，获取网页内容，然后使用 BeautifulSoup 库解析 HTML 文本，并从中找到一个名为 "iteminfo" 的标签，提取出它的文本内容并打印...

爬取该网址的图书封面信息import requestsfrom bs4 import BeautifulSoupurl = 'https://book.douban.com/subject/36321306/'response = requests.get(url)soup = BeautifulSoup(response.text, 'html.parser')img = soup.select_one('.nbg img')img_url = img['src']with open('book_cover.jpg', 'wb') as f: f.write(requests.get(img_url).content)

from bs4 import BeautifulSoup url = 'https://book.douban.com/subject/36321306/' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') img = soup.select_one('.nbg img') img_...

以下代码爬取的内容是乱码，什么原因？from bs4 import BeautifulSoup import requests if name == 'main': url = 'https://www.pincai.com/article/2320333.htm' response = requests.get(url).text soup = BeautifulSoup(response, 'lxml')。帮我修改好代码

from bs4 import BeautifulSoup import requests if __name__ == '__main__': url = 'https://www.pincai.com/article/2320333.htm' response = requests.get(url) response.encoding = 'utf-8' soup = ...

修改代码，使得li_list的编码格式是utf-8import requests from bs4 import BeautifulSoup url = 'https://www.icbc.com.cn/page/827855918799994880.html' response = requests.get(url=url) page_response = response.text soup = BeautifulSoup(page_response, 'html.parser',from_encoding='utf-8') li_list = soup.select('#mypagehtmlcontent p')

from bs4 import BeautifulSoup url = 'https://www.icbc.com.cn/page/827855918799994880.html' response = requests.get(url=url) page_response = response.content.decode('utf-8') soup = BeautifulSoup(page_...

优化这段代码import requests from bs4 import BeautifulSoup url = "https://www.gupang.com/202305/64619.html" response = requests.get(url) soup = BeautifulSoup(response.content, "html.parser") title = soup.find("h1", class_="title").text content = soup.find("div", class_="content").text print(title) print(content)

from bs4 import BeautifulSoup url = "https://www.gupang.com/202305/64619.html" try: response = requests.get(url) response.raise_for_status() # 抛出异常，如果请求失败 except requests.exceptions....

import requestsfrom bs4 import BeautifulSoup# 发送 GET 请求获取网页内容url = 'https://buff.163.com/market/goods?goods_id=35864&from=market#tab=selling'res = requests.get(url)# 使用 BeautifulSoup 解析 HTMLsoup = BeautifulSoup(res.text, 'html.parser')# 查找手套武器箱价格并打印price = soup.find('span', {'class': 'price'}).textprint('手套武器箱价格为：' + price)

这段代码的问题在于第一行 import requestsfrom bs4 import BeautifulSoup，requests 和 bs4 库的导入应该在两行中分开导入，即应该写成： python import requests from bs4 import BeautifulSoup # 发送...

import requests from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup(response,'html.parser') content = soup.find('div',class_='mb2').text content = content.replace(' ',' ') content = content.replace(' ',' ') return content print(getContent(url))对吗

from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): try: response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup...

import requests from bs4 import BeautifulSoup 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/113.0.1774.50'} url='http://www.biquge5200.cc/191_191776/' resoponse=requests.get(url,headers=headers,timeout=50) html=BeautifulSoup(resoponse.text) print(html)

这段 Python 代码使用 requests 和 BeautifulSoup 库获取网页 http://www.biquge5200.cc/191_191776/ 的 HTML 内容，并打印出来。其中 headers 参数用于模拟浏览器请求，timeout 参数用于设置请求超时时间。如果请求...

import requests from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get（URL）.content.decode（'utf-8') soup = BeautifulSoup(response,'html.parser') content = soup.find('div',class_='mb2').text content = content.replace(' ',' ') content = content.replace(' ',' ') return content print(getContent(url))哪里出问题了

from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup(response,'...

import requests url = "https://www.cdairport.com/dynamic3.aspx?t=8&inout=D&date=0&etime=23:59&" html = requests.get(url) print(html)怎么修改

from bs4 import BeautifulSoup # 如果是HTML，需要安装BeautifulSoup库 try: response = requests.get(url) if response.status_code == 200: if 'application/json' in response.headers['Content-Type']: ...

以下程序如何获得数据"jQuery":import requests url = "https://www.hao123.com" params = ( ('url', url), ) headers = { 'x-api-key': 'ufdTNgsdj34NI21Ifpk4249ZlMWjGzTG6WDEBolA', } response = requests.get('https://api.wappalyzer.com/lookup/v1/', headers=headers, params=params) print(response.json())

from bs4 import BeautifulSoup url = "https://www.hao123.com" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') if soup.select_one('script[src*="jquery"]'): print(...

import os import requests from bs4 import BeautifulSoup # 创建目录用于保存图片 if not os.path.exists('data'): os.mkdir('data') # 爬取网站 url = 'https://www.sucai999.com/pic/cate/263_267.html' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # 获取图片链接并下载保存 img_tags = soup.find_all('img', class_='lazy') for index, img_tag in enumerate(img_tags[:20]): img_url = img_tag['data-original'] response = requests.get(img_url) with open(f'data/img{index}.jpg', 'wb') as f: f.write(response.content) print('图片保存完毕！')把这段代码优化成连续保存20张图片的代码

import os import requests from bs4 import BeautifulSoup # 创建目录用于保存图片 if not os.path.exists('data'): os.mkdir('data') # 爬取网站 url = '...requests.get(url) soup = BeautifulSoup(response.text, '...

运行这段代码import requests from bs4 import BeautifulSoup import pprint import json def download_all_htmls(): """ 下载所有列表页面的HTML，用于后续的分析 """ htmls=[] for idx in range(24): url=f"https://www.utusan.com.my/page/{idx+1}" print("craw heml:",url) r=requests.get(url) if r.status_code !=250: raise Exception("error") htmls.append(r.text) return htmls htmls=download_all_htmls() htmls[0]，并找出错误优化代码

from bs4 import BeautifulSoup import pprint import json def download_all_htmls(): """下载所有列表页面的HTML，用于后续的分析""" htmls = [] for idx in range(24): url = f...

import requests from bs4 import BeautifulSoup import pprint import json def download_all_htmls(): """下载所有列表页面的HTML，用于后续的分析""" htmls = [] for idx in range(24): url = f"https://www.utusan.com.my/page/{idx+1}" print("craw html:", url) r = requests.get(url) if r.status_code != 200: raise Exception("error") htmls.append(r.text) return htmls htmls = download_all_htmls() print(htmls[0])为这段代码添加一个伪装浏览器爬取，防止反爬代码

from bs4 import BeautifulSoup import pprint import json def download_all_htmls(): """下载所有列表页面的HTML，用于后续的分析""" htmls = [] headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; ...

用requests获取  下一章href

from bs4 import BeautifulSoup url = 'http://www.8800txt.com/txt/435021/23046124.htm' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') link = soup.find('a', {'id': '...

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