import requests from bs4 import BeautifulSoup url = ‘http://www.baidu.com‘ html = requests.get(url) sp = BeautifulSoup(html.text, ‘html.parser‘) print(sp)
html_doc = """
<html><head><title>页标题</title></head>
<p class="title"><b>文件标题</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
"""
from bs4 import BeautifulSoup
sp = BeautifulSoup(html_doc,‘html.parser‘)
print(sp.find(‘b‘)) # 返回值：<b>文件标题</b>
print(sp.find_all(‘a‘)) #返回值： [<b>文件标题</b>]
print(sp.find_all("a", {"class":"sister"}))
data1=sp.find("a", {"href":"http://example.com/elsie"})
print(data1.text) # 返回值：Elsie
data2=sp.find("a", {"id":"link2"})
print(data2.text) # 返回值：Lacie
data3 = sp.select("#link3")
print(data3[0].text) # 返回值：Tillie
print(sp.find_all([‘title‘,‘a‘]))
data1=sp.find("a", {"id":"link1"})
print(data1.get("href")) #返回值： http://example.com/elsie
import requests
from bs4 import BeautifulSoup
url = ‘http://www.wsbookshow.com/‘
html = requests.get(url)
html.encoding="gbk"
sp=BeautifulSoup(html.text,"html.parser")
links=sp.find_all(["a","img"]) # 同时读取 <a> 和 <img>
for link in links:
href=link.get("href") # 读取 href 属性的值
# 判断值是否为非 None，以及是不是以http://开头
if((href != None) and (href.startswith("http://"))):
print(href)
import requests
from bs4 import BeautifulSoup
url = ‘http://www.taiwanlottery.com.tw/‘
html = requests.get(url)
sp = BeautifulSoup(html.text, ‘html.parser‘)
data1 = sp.select("#rightdown")
print(data1)
data2 = data1[0].find(‘div‘, {‘class‘:‘contents_box02‘})
print(data2)
print()
data3 = data2.find_all(‘div‘, {‘class‘:‘ball_tx‘})
print(data3)
import requests
from bs4 import BeautifulSoup
url1 = ‘http://www.pm25x.com/‘ #获得主页面链接
html = requests.get(url1) #抓取主页面数据
sp1 = BeautifulSoup(html.text, ‘html.parser‘) #把抓取的数据进行解析
city = sp1.find("a",{"title":"北京PM2.5"}) #从解析结果中找出title属性值为"北京PM2.5"的标签
print(city)
citylink=city.get("href") #从找到的标签中取href属性值
print(citylink)
url2=url1+citylink #生成二级页面完整的链接地址
print(url2)
html2=requests.get(url2) #抓取二级页面数据
sp2=BeautifulSoup(html2.text,"html.parser") #二级页面数据解析
#print(sp2)
data1=sp2.select(".aqivalue") #通过类名aqivalue抓取包含北京市pm2.5数值的标签
pm25=data1[0].text #获取标签中的pm2.5数据
print("北京市此时的PM2.5值为："+pm25) #显示pm2.5值
import requests,os
from bs4 import BeautifulSoup
from urllib.request import urlopen
url = ‘http://www.tooopen.com/img/87.aspx‘
html = requests.get(url)
html.encoding="utf-8"
sp = BeautifulSoup(html.text, ‘html.parser‘)
# 建立images目录保存图片
images_dir="E:\\images\\"
if not os.path.exists(images_dir):
os.mkdir(images_dir)
# 取得所有 <a> 和 <img> 标签
all_links=sp.find_all([‘a‘,‘img‘])
for link in all_links:
# 读取 src 和 href 属性内容
src=link.get(‘src‘)
href = link.get(‘href‘)
attrs=[src,src]
for attr in attrs:
# 读取 .jpg 和 .png 檔
if attr != None and (‘.jpg‘ in attr or ‘.png‘ in attr):
# 设置图片文件完整路径
full_path = attr
filename = full_path.split(‘/‘)[-1] # 取得图片名
ext = filename.split(‘.‘)[-1] #取得扩展名
filename = filename.split(‘.‘)[-2] #取得主文件名
if ‘jpg‘ in ext: filename = filename + ‘.jpg‘
else: filename = filename + ‘.png‘
print(attr)
# 保存图片
try:
image = urlopen(full_path)
f = open(os.path.join(images_dir,filename),‘wb‘)
f.write(image.read())
f.close()
except:
print("{} 无法读取!".format(filename))
原文地址：https://www.cnblogs.com/tszr/p/10149956.html
时间： 2024-11-08 23:42:08