python爬取网站图像文件（网络爬虫）

一、代码

from bs4 import BeautifulSoup
from bs4 import UnicodeDammit
import urllib.request
import threading
def imageSpider(start_url):
    global threads
    global count
    try:
        urls=[]
        req=urllib.request.Request(start_url,headers=headers)
        data=urllib.request.urlopen(req)
        data=data.read()
        dammit=UnicodeDammit(data,["utf-8","gbk"])
        data=dammit.unicode_markup
        soup=BeautifulSoup(data,"html.parser")
        images=soup.select("img")
        for image in images:
            try:
                src = image["src"]
                url = urllib.request.urljoin(start_url, src)
                if url not in urls:
                    print(url)
                count = count + 1
                T = threading.Thread(target=download, args=(url, count))
                T.setDaemon(False)
                T.start()
                threads.append(T)
            except Exception as err:
                print(err)
    except Exception as err:
        print(err)

def download(url, count):
    try:
        if (url[len(url) - 4] == "."):
            ext = url[len(url) - 4:]
        else:
            ext = ""
        req = urllib.request.Request(url, headers=headers)
        data = urllib.request.urlopen(req, timeout=100)
        data = data.read()
        fobj = open("images\" + str(count) + ext, "wb")
        fobj.write(data)
        fobj.close()
        print("downloaded " + str(count) + ext)
    except Exception as err:
            print(err)

# start_url = "http://www.weather.com.cn/weather/101280601.shtml"
start_url = "https://www.fosu.edu.cn/"

headers = {"User-Agent": "Mozilla/5.0 (Windows; U; Windows NT 6.0 x64; en-US; rv:1.9pre)Gecko / 2008072421 Minefield / 3.0.2pre"}
count = 0
threads = []
imageSpider(start_url)
for t in threads:
    t.join()
print("The End")

二、细节补充:

fobj = open("images\" + str(count) + ext, "wb")

最后

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