利用python批量爬取百度任意类别的图片时：
（1）：设置类别名字。
（2）：设置类别的数目，即每一类别的的图片数量。
（3）：编辑一个txt文件，命名为name.txt，在txt文件中输入类别，此类别即为关键字。并将txt文件与python源代码放在同一个目录下。
python源代码：
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# -*- coding: utf-8 -*-"""Created on Sun Sep 13 21:35:34 2020@author: ydc"""import reimport requestsfrom urllib import errorfrom bs4 import BeautifulSoupimport osnum = 0numPicture = 0file = ''List = []def Find(url, A): global List print('正在检测图片总数，请稍等.....') t = 0 i = 1 s = 0 while t < 1000: Url = url + str(t) try: # 这里搞了下 Result = A.get(Url, timeout=7, allow_redirects=False) except BaseException: t = t + 60 continue else: result = Result.text pic_url = re.findall('"objURL":"(.*?)",', result, re.S) # 先利用正则表达式找到图片url s += len(pic_url) if len(pic_url) == 0: break else: List.append(pic_url) t = t + 60 return sdef recommend(url): Re = [] try: html = requests.get(url, allow_redirects=False) except error.HTTPError as e: return else: html.encoding = 'utf-8' bsObj = BeautifulSoup(html.text, 'html.parser') div = bsObj.find('div', id='topRS') if div is not None: listA = div.findAll('a') for i in listA: if i is not None: Re.append(i.get_text()) return Redef dowmloadPicture(html, keyword): global num # t =0 pic_url = re.findall('"objURL":"(.*?)",', html, re.S) # 先利用正则表达式找到图片url print('找到关键词:' + keyword + '的图片，即将开始下载图片...') for each in pic_url: print('正在下载第' + str(num + 1) + '张图片，图片地址:' + str(each)) try: if each is not None: pic = requests.get(each, timeout=7) else: continue except BaseException: print('错误，当前图片无法下载') continue else: string = file + r'\\' + keyword + '_' + str(num) + '.jpg' fp = open(string, 'wb') fp.write(pic.content) fp.close() num += 1 if num >= numPicture: returnif __name__ == '__main__': # 主函数入口 headers = { 'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2', 'Connection': 'keep-alive', 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0', 'Upgrade-Insecure-Requests': '1' } A = requests.Session() A.headers = headers ############################### tm = int(input('请输入每类图片的下载数量 ')) numPicture = tm line_list = [] with open('./name.txt', encoding='utf-8') as file: line_list = [k.strip() for k in file.readlines()] # 用 strip()移除末尾的空格 for word in line_list: url = 'https://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&word=' + word + '&pn=' tot = Find(url, A) Recommend = recommend(url) # 记录相关推荐 print('经过检测%s类图片共有%d张' % (word, tot)) file = word + '文件' y = os.path.exists(file) if y == 1: print('该文件已存在，请重新输入') file = word + '文件夹2' os.mkdir(file) else: os.mkdir(file) t = 0 tmp = url while t < numPicture: try: url = tmp + str(t) # result = requests.get(url, timeout=10) # 这里搞了下 result = A.get(url, timeout=10, allow_redirects=False) print(url) except error.HTTPError as e: print('网络错误，请调整网络后重试') t = t + 60 else: dowmloadPicture(result.text, word) t = t + 60 # numPicture = numPicture + tm print('当前搜索结束，感谢使用') |
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原文链接：https://blog.csdn.net/qq_42612717/article/details/108922563
