Python 那位大神帮忙看一下 这段爬虫代码 跑一会儿就停了 没报错 也没提示就是不动了

 # -*- coding:utf-8 -*- # 声明：知乎上某个答主写的爬虫脚本，代码没有整理，自己重新整理排版了，已经调试并通过 # 本人 Java 程序员，对 python 不熟，不过代码里面逻辑大概能看懂一些，这位答主的脚本是 python2 写的， # 我自己是 python3 的环境，所以有些细微的改动，目的是为了兼容 python3 可以正常运行 # # 原始脚本地址： https://www.zhihu.com/question/297715922/answer/676693318 # 如果觉得我冒犯了你的话，可以私信联系我，我删除。 import re import requests import os import urllib.request import ssl from urllib.parse import urlsplit from os.path import basename # 全局禁用证书验证 ssl._create_default_https_cOntext= ssl._create_unverified_context headers = { 'User-Agent': "Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36", 'Accept-Encoding': 'gzip, deflate' } def mkdir(path): if not os.path.exists(path): print('新建文件夹：', path) os.makedirs(path) return True else: print(u"图片存放于：", os.getcwd() + os.sep + path) return False def download_pic2(img_lists, dir_name): print("一共有{num}张照片".format(num=len(img_lists))) # 标记下载进度 index = 1 for image_url in img_lists: file_name = dir_name + os.sep + basename(urlsplit(image_url)[2]) # 已经下载的文件跳过 if os.path.exists(file_name): print("文件{file_name}已存在。".format(file_name=file_name)) index += 1 continue auto_download(image_url, file_name) print("下载{pic_name}完成！({index}/{sum})".format(pic_name=file_name, index=index, sum=len(img_lists))) index += 1 def auto_download(url, file_name): # 递归下载，直到文件下载成功 try: urllib.request.urlretrieve(url, file_name) except urllib.request.ContentTooShortError: print("文件下载不完整，重新下载。") auto_download(url, file_name) except urllib.request.URLError: print("网络连接出错，尝试重新下载。") auto_download(url, file_name) def download_pic(img_lists, dir_name): print("一共有{num}张照片".format(num=len(img_lists))) for image_url in img_lists: respOnse= requests.get(image_url, stream=True) if response.status_code == 200: image = response.content else: continue file_name = dir_name + os.sep + basename(urlsplit(image_url)[2]) try: with open(file_name, "wb") as picture: picture.write(image) except IOError: print("IO Error\n") continue finally: picture.close() print("下载{pic_name}完成！".format(pic_name=file_name)) def get_image_url(qid, headers): # 利用正则表达式把源代码中的图片地址过滤出来 # reg = r'data-actualsrc="(.*?)">' tmp_url = "https://www.zhihu.com/node/QuestionAnswerListV2" size = 10 image_urls = [] session = requests.Session() while True: postdata = {'method': 'next', 'params': '{"url_token":' + str(qid) + ',"pagesize": "10",' + '"offset":' + str(size) + "}"} page = session.post(tmp_url, headers=headers, data=postdata) ret = eval(page.text) answers = ret['msg'] print(u"答案数：%d" % (len(answers))) size += 10 if not answers: print("图片 URL 获取完毕, 页数: ", (size - 10) / 10) return image_urls # reg = r'https://pic\d.zhimg.com/[a-fA-F0-9]{5,32}_\w+.jpg' imgreg = re.compile('data-original="(.*?)"', re.S) for answer in answers: tmp_list = [] url_items = re.findall(imgreg, answer) for item in url_items: # 这里去掉得到的图片 URL 中的转义字符'\\' image_url = item.replace("\\", "") tmp_list.append(image_url) # 清理掉头像和去重 获取 data-original 的内容 tmp_list = list(set(tmp_list)) # 去重 for item in tmp_list: if item.endswith('r.jpg'): print(item) image_urls.append(item) print('size: %d, num : %d' % (size, len(image_urls))) if __name__ == '__main__': title = '拥有一副令人羡慕的好身材是怎样的体验？' question_id = 297715922 # title = '身材好是一种怎样的体验？' # question_id = 26037846 # title = '女孩子胸大是什么体验？' # question_id = 291678281 # title = '女生什么样的腿是美腿？' # question_id = 310786985 # title = '你的择偶标准是怎样的？' # question_id = 275359100 # title = '什么样才叫好看的腿？' # question_id = 63727821 # title = '身材对女生很重要吗？' # question_id = 307403214 # title = '女生腿长是什么样的体验？' # question_id = 273711203 # title = '女生腕线过裆是怎样一种体验？' # question_id = 315236887 # title = '有着一大长腿是什么感觉？' # question_id = 292901966 # title = '拥有一双大长腿是怎样的体验？' # question_id = 285321190 # title = '大胸女生如何穿衣搭配？' # question_id = 26297181 # title = '胸大到底怎么穿衣服好看?' # question_id = 293482116 zhihu_url = "https://www.zhihu.com/question/{qid}".format(qid=question_id) path = str(question_id) + '_' + title mkdir(path) # 创建本地文件夹 img_list = get_image_url(question_id, headers) # 获取图片的地址列表 download_pic2(img_list, path) # 保存图片