python七大爬虫程序
一，index.php/tags-41973.html" class="superseo">���取豆瓣电影信息
（）import random
import urllib.request
from bs4 import BeautifulSoup
import codecs
from time import sleep
def main(url, headers):
# 发送请求
page = urllib.request.Request(url, headers=headers)
page = urllib.request.urlopen(page)
contents = page.read()
# 用BeautifulSoup解析网页
soup = BeautifulSoup(contents, "html.parser")
infofile.write("")
print('爬取豆瓣电影250: \n')
for tag in soup.find_all(attrs={"class": "item"}):
# 爬取序号
num = tag.find('em').get_text()
print(num)
infofile.write(num + "\r\n")
# 电影名称
name = tag.find_all(attrs={"class": "title"})
zwname = name[0].get_text()
print('[中文名称]', zwname)
infofile.write("[中文名称]" + zwname + "\r\n")
# 网页链接
url_movie = tag.find(attrs={"class": "hd"}).a
urls = url_movie.attrs['href']
print('[网页链接]', urls)
infofile.write("[网页链接]" + urls + "\r\n")
# 爬取评分和评论数
info = tag.find(attrs={"class": "star"}).get_text()
info = info.replace('\n', ' ')
info = info.lstrip()
print('[评分评论]', info)
# 获取评语
info = tag.find(attrs={"class": "inq"})
if (info): # 避免没有影评调用get_text()报错
content = info.get_text()
print('[影评]', content)
infofile.write(u"[影评]" + content + "\r\n")
print('')
if __name__ == '__main__':
# 存储文件
infofile = codecs.open("豆瓣电影信息.txt", 'a', 'utf-8')
# 消息头
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'}
# 翻页
i = 0
while i
二，爬取知乎网页内容
import csv
import requests
import re
import time
def main(page):
url = f'https://tieba.baidu.com/p/7882177660?pn={page}'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36'
}
resp = requests.get(url,headers=headers)
html = resp.text
# 评论内容
comments = re.findall('> (.*?)',html)
# 评论用户
users = re.findall(' href=".*?" target="_blank">(.*?)',html)
# 评论时间
comment_times = re.findall('楼(.*?)50:
continue
csvwriter.writerow((u,t,c))
print(u,t,c)
print(f'第{page}页爬取完毕')
if __name__ == '__main__':
with open('01.csv','a',encoding='utf-8')as f:
csvwriter = csv.writer(f)
csvwriter.writerow(('评论用户','评论时间','评论内容'))
for page in range(1,8): # 爬取前7页的内容
main(page)
time.sleep(2)
三，爬起天气预报
（）
import requests
from bs4 import BeautifulSoup
import urllib.request
import random
# 设置header 防止产生403forbidden
my_headers = [
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14",
"Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Win64; x64; Trident/6.0)",
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.5 (like Gecko) (Kubuntu)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9',
"Mozilla/5.0 (X11; Linux i686) AppleWebKit/535.7 (KHTML, like Gecko) Ubuntu/11.04 Chromium/16.0.912.77 Chrome/16.0.912.77 Safari/535.7",
"Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:10.0) Gecko/20100101 Firefox/10.0 "
]
# 抓取网页信息
def get_content(url, headers):
random_header = random.choice(headers)
req = urllib.request.Request(url)
req.add_header("User-Agent", random_header)
req.add_header("Host", "lishi.tianqi.com")
req.add_header("Referer", "http://lishi.tianqi.com/")
req.add_header("GET", url)
content = urllib.request.urlopen(req).read()
return content
# 三个月份天气的链接
urls = ["http://lishi.tianqi.com/wuhan/202210.html",
"http://lishi.tianqi.com/wuhan/202211.html",
"http://lishi.tianqi.com/wuhan/202212.html"]
file = open('weather.csv', 'w')
for url in urls:
response = get_content(url, my_headers)
soup = BeautifulSoup(response, 'html.parser')
weather_list = soup.select('ul[]')
for weather in weather_list:
ul_list = weather.select('li')
for ul in ul_list:
li_list = ul.select('div')
str = ""
for li in li_list:
str += li.string + ','
file.write(str + '\n')
file.close()
四，爬取网页标题
import requests
from bs4 import BeautifulSoup
url = "http://project.webcat.top/bx/80607/24411"
# 发送请求
response = requests.get(url)
# 使用BeautifulSoup解析HTML内容
soup = BeautifulSoup(response.content,'html.parser')
# 获取网站标题
title = soup.title.string
print("网站标题:", title)
五，爬取网页所有链接
import requests
from bs4 import BeautifulSoup
# 发送HTTP请求获取网页内容
url = 'https://www.python.org/'
response = requests.get(url)
html_content = response.text
# 使用BeautifulSoup解析网页内容
soup = BeautifulSoup(html_content, 'html.parser')
# 提取需要的数据
# 这里以提取网页中的所有链接为例
links = soup.find_all('a')
for link in links:
print(link.get('href'))
六，爬取网页图片
import requests
from bs4 import BeautifulSoup
import urllib
# 爬取网页数据并解析数据
url = 'http://vip.1905.com/m/play/1655899.shtml' # 替换为你要爬取的网页地址
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
# 解析数据并获取影视图片的URL
image_urls = []
images = soup.find_all('img')
for image in images:
image_url = image['src']
image_urls.append(image_url)
# 下载图片并保存到本地文件
for image_url in image_urls:
urllib.request.urlretrieve(image_url, 'rrr.jpg') # 替换为你要保存的文件名和路径
七，爬取网页完整文本
import requests
from bs4 import BeautifulSoup
def scrape_html(url):
# 发送HTTP请求
response = requests.get(url)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# 找到并打印所有的段落标签（）的内容
for p_tag in soup.find_all('p'):
print(p_tag.get_text())
else:
print(f"Error: {response.status_code} when fetching {url}")
# 测试函数
scrape_html('https://www.bafangwy.com/') # 替换为你要爬取的网址
The End