背景

前几天中国数据库大会风风火火的在京举行了，期间干货满满，收获良多。在学大佬们的ppt时，发现只能一篇一篇预览，对于求知欲强烈的小编来说简直太难受了，于是便写了个程序，一键获取所有ppt。

2020年12月21日~12月23日，由 IT168 旗下 ITPUB 企业社区平台主办的第十一届中国数据库技术大会（DTCC2020），将在北京隆重召开。大会以“架构革新高效可控”为主题，设置2大主会场，20+技术专场，将邀请超百位行业专家，重点围绕数据架构、AI与大数据、传统企业数据库实践和国产开源数据库等内容展开分享和探讨，为广大数据领域从业人士提供一场年度盛会和交流平台。

历经十年的积累与沉淀，如今的DTCC已然成为国内数据库领域的技术风向标，见证了整个行业的发展与演变。作为顶级的数据领域技术盛会，DTCC2020将继续秉承一贯的干货分享和实践指导原则，期待大家的热情参与！

中国数据库大会链接：http://dtcc.it168.com/

软件环境：python 3

效果展示

话不多说，上代码

# encoding: utf-8
from bs4 import BeautifulSoup
import requests
from urllib.request import urlopen
import re
import jsondef visit(url):headers = {"User-Agent": "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; InfoPath.3)","accept": "application/json, text/javascript, */*; q=0.01","accept-encoding": "gzip, deflate, br","accept-language": "zh-CN,zh;q=0.9","content-type": "application/x-www-form-urlencoded; charset=UTF-8","cookie": "",  -- 填自己的"referer": "","sec-fetch-dest": "document","sec-fetch-mode": "navigate","sec-fetch-site": "same-origin",}res = requests.get(url,headers=headers)bsObj = BeautifulSoup(res.text, "html.parser")return bsObjdef visit_homepage(url):bsObj = visit(url)content = bsObj.find('div', class_="content")content_list = content.select("p")category = []for i in range(4,len(content_list)):try:urls = content_list[i].a['href']name = content_list[i].get_text("|").split("|")[0].replace(' ','').replace('\xa0','')category.append([name,urls])except:passprint(category)return categorydef download_pdf(conf,path):category_name = conf[0]category_url = conf[1]bsObj = visit(category_url)res = re.search(r'(.*)token:(.*?),',str(bsObj) ,re.M|re.I)token = res.group(2).replace('"','').replace(' ','')arts = re.findall(r'(.*)li data-docinfo=(.*?)}',str(bsObj) ,re.M|re.I)for art in arts:art_str = "{"+str(art).split('{')[1].replace("')","}")art_dic = json.loads(art_str)id = art_dic['id']name = art_dic['name']download_url = "https://api.z.itpub.net/download/file?st-usertoken=%s&id=%s"%(token,str(id))print(download_url)data = urlopen(download_url).read()with open(path+category_name+'__'+name, 'wb') as f:f.write(data)print("finish download  ")if __name__ == '__main__':homepage = "https://z.itpub.net/article/detail/5260C494873379BAA63BAB7C5CBD7A95"path = "/Users/xxx/Downloads/DTCC/"# downloadcategory = visit_homepage(homepage)for i in category:download_pdf(i,path)