python爬虫爬取知网

谁践踏了优雅 2021-07-26 13:49 1381阅读 0赞

python爬虫爬取知网

话不多说,直接上代码!

  1. import requests
  2. import re
  3. import time
  4. import xlrd
  5. from xlrd import open_workbook
  6. from xlutils.copy import copy
  7. class BeautifulPicture():
  8. def get_pic(self):
  9. data = xlrd.open_workbook(r'C:\\flim\library_my\new.xls') # 打开xls文件,自己新建这个文件在运行路径,不然不行的哦
  10. table = data.sheets()[0] # 打开第一张表
  11. table2 = data.sheets()[1] # 打开第一张表
  12. i = table.nrows #上一次爬到的表1的行数
  13. i1 = 0
  14. i2 = table2.nrows #上一次爬到的表2的行数
  15. told = 0
  16. rb = open_workbook(r'C:\\flim\library_my\new.xls','utf-8')
  17. wb = copy(rb) # 将上一次爬到的复制到新表里,并在新表里继续添加纪录
  18. # 通过get_sheet()获取的sheet有write()方法
  19. ws = wb.get_sheet(0)
  20. ws1 = wb.get_sheet(1)
  21. p = 1 # 这里是页数
  22. for num in range(p, p + 100):
  23. # 这里的num是页码
  24. web_url ='http://kns.cnki.net/kns/brief/brief.aspx?curpage=%s&Reco' \
  25. 'rdsPerPage=50&QueryID=8&ID=&turnpage=1&tpagemode=L&dbPref' \
  26. 'ix=SCDB&Fields=&DisplayMode=listmode&PageName=ASP.brief_' \
  27. 'default_result_aspx#J_ORDER&' % num #这里的URL实现了二次加载
  28. print('搜素页的URL=',web_url)
  29. # 这里开始是时间控制
  30. t = int(time.clock())
  31. print(t / 60, '分钟')
  32. useTime = t - told
  33. # 如果一个周期的时间使用太短,则等待一段时间
  34. # 主要用于防止被禁
  35. if (useTime < 120 and useTime > 10):
  36. print("useTime=%s" % useTime)
  37. whiteTime = 120 - useTime
  38. print("等待%s秒" % whiteTime)
  39. time.sleep(whiteTime)
  40. told = int(time.clock())
  41. print(t)
  42. print('开始网页get请求')
  43. r = self.request(web_url)
  44. # 这里是报错的解释,能知道到底是因为什么不能继续爬了
  45. # 一开始会看爬到的源代码,但是之后正式开始爬的时候,打印页面源代码会拉低爬虫效率
  46. yan = re.search(r'参数错误', r.text)
  47. if yan != None:
  48. print("参数")
  49. break
  50. yan = re.search(r'验证码', r.text)
  51. if yan != None:
  52. print("验证")
  53. break
  54. #这里开始抓列表里每一个文献的url
  55. soup = re.findall(r'<TR([.$\s\S]*?)</TR>', r.text)
  56. #print(soup)#测试打印
  57. for a in soup:
  58. print("-", i1)
  59. #print(a)#测试代码
  60. i1 += 1
  61. name = re.search(r'_blank.*<', a)
  62. #print('初次取的=',name)#测试代码
  63. name = name.group()[8:-1]
  64. #print('第二次=',name)#测试代码
  65. name = re.sub(r'<font class=Mark>', '', name)
  66. #print('第三次=', name) # 测试代码
  67. name = re.sub(r'</font>', '', name)
  68. #print('第四次=', name) # 测试代码
  69. url = re.search(r'href=.*? ', a)#将’‘看做一个子表达式,惰性匹配一次就可以了
  70. url = url.group()
  71. #print('爬取的详情页的URL=',url)#测试代码
  72. # 将爬来的相对地址,补充为绝对地址
  73. url = "http://kns.cnki.net/KCMS/" + url[11:-2]#数字是自己数的。。。
  74. #print("url:%s" % url) # 这里是写代码时测试留下的print记录
  75. #下面是参考文献详情的URL
  76. FN = re.search(r'FileName.*?&', url)#.group()#出现错误 没有匹配!!!
  77. if FN !=None:#测试代码
  78. FN = re.search(r'FileName.*?&', url).group()
  79. #print(FN)#测试代码
  80. DN = re.search(r'DbName.*?&', url)#.group()
  81. if DN !=None:#测试代码
  82. DN=re.search(r'DbName.*?&', url).group()
  83. #print(DN) #测试代码
  84. DC = re.search(r'DbCode.*?&', url).group()
  85. DUrl = "http://kns.cnki.net/KCMS/detail/frame/list.aspx?%s%s%sRefType=1" % (FN, DN, DC)
  86. #print('DUrl=',DUrl)#测试代码
  87. # 这里打开文献详情页
  88. R = self.request(DUrl)
  89. #如果没有参考文献,则认为是劣质文献,不爬,转爬下一篇
  90. isR = re.search(r'参考文献', R.text)
  91. if i1 == 1:
  92. print("没有参考文献的文章:%s" % name)
  93. if isR == None:
  94. continue
  95. # 详情页
  96. print(i)
  97. print("文章名字:%s" % name)
  98. d = self.request(url).text
  99. #print('d=',d)#测试代码
  100. # 这里是文献摘要,
  101. summary = re.search(r'(?<=name="ChDivSummary">).+?(?=</span>)', d)
  102. summary=summary.group()
  103. #print('摘要=',summary)
  104. type = re.search(r'"\).html\(".*?"', d)
  105. type = type.group()[9:-1]
  106. ins = re.search(r'TurnPageToKnet\(\'in\',\'.*?\'', d)
  107. if ins == None:
  108. continue
  109. ins = ins.group()[21:-1]
  110. wt = re.findall(r'TurnPageToKnet\(\'au\',\'.*?\'', d)
  111. writer = ""
  112. for w in wt:
  113. writer = writer + "," + w[21:-1]
  114. writer = writer[1:]
  115. ws.write(i, 0, name) #文献名
  116. ws.write(i, 1, writer) #作者名
  117. ws.write(i, 2, type) #文献类别
  118. ws.write(i, 15, num) #列表的页码
  119. ws.write(i, 3, summary) # 摘要
  120. ws.write(i, 16, time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))) #记录的时间
  121. # 这里是文献的关键词,最多可以记录8个关键词
  122. kw = re.findall(r'TurnPageToKnet\(\'kw\',\'.*?\'', d)
  123. tnum = 0
  124. for tkw in kw:
  125. tnum += 1
  126. tkw = tkw[21:-1]
  127. if tnum > 8:
  128. break
  129. ws.write(i, 3 + tnum, tkw)
  130. # 这里是文献的来源基金
  131. fund = re.search(r'TurnPageToKnet\(\'fu\',\'.*?\'', d)
  132. if fund != None:
  133. fund = fund.group()[21:-1]
  134. ws.write(i, 11, fund)
  135. # 分类号
  136. cn = re.search(r'ZTCLS.*?</p', d)
  137. if cn != None:
  138. cn = cn.group()[19:-3]
  139. ws.write(i, 12, cn)
  140. # 这是机构
  141. jg = re.search(r'TurnPageToKnet\(\'in\',\'.*?\'', d)
  142. if jg != None:
  143. jg = jg.group()[21:-1]
  144. #print(jg)
  145. ws.write(i, 17, jg)
  146. # 是否为核心期刊
  147. sourinfo = re.search(r'sourinfo([.$\s\S]*?)</div', d)
  148. if sourinfo != None:
  149. sourinfo = sourinfo.group()
  150. # print(sourinfo)
  151. from_ = re.search(r'title.*</a', sourinfo).group()
  152. from_ = re.sub(r'title">.*?>', '', from_)
  153. from_ = re.sub(r'</a', '', from_)
  154. ws.write(i, 13, from_)
  155. core = re.search(r'中文核心期刊', sourinfo)
  156. if core != None:
  157. print(core.group())
  158. ws.write(i, 14, "中文核心期刊")
  159. # ws.write(i, 0, a)
  160. i += 1 # 增加页码的计数
  161. wb.save('new.xls') # 保存表格*******有改变 有问题
  162. def request(self, url): # 返回网页的response
  163. # print(url)
  164. # 这里是伪造浏览器信息,和伪造来源
  165. user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Ch' \
  166. 'rome/58.0.3029.81 Safari/537.36'
  167. referer = "http://kns.cnki.net/kns/brief/result.aspx"
  168. # 这里是伪造cookie,你要从浏览器里复制出来,粘贴在这里
  169. # 可以把里面的时间不断更新,这样能爬久一点
  170. cookie = 'cnkiUserKey=e0b40271-cdc0-fd83-36fa-9d4c5f8f2a86; RsPerPage=5' \
  171. '0; KNS_DisplayModel=custommode@CJFQ; UM_distinctid=161275ba757a' \
  172. '16-0ed232d4ab2da2-6010107f-15f900-161275ba75895e; Ecp_Cli' \
  173. 'entId=3170915092701569567; ASP.NET_SessionId=3dnqvlsxovsla4' \
  174. 'ywvr2ykp4c; SID_kns=123106; SID_crrs=125131; SID_klogin=12514' \
  175. '3; SID_krsnew=125132; SID_kcms=124113; SID_knsdelivery=125124;' \
  176. ' CNZZDATA3258975=cnzz_eid%3D995934993-1516843818-http%253A%252' \
  177. 'F%252Fkns.cnki.net%252F%26ntime%3D1517383256; Ecp_session=1; ' \
  178. 'c_m_LinID=LinID=WEEvREcwSlJHSldRa1FhdkJkVWI2VUJNODFzUHlUaC9LN' \
  179. 'XZrUDkrcXhYbz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4ggI8Fm4gTkoU' \
  180. 'KaID8j8gFw!!&ot=02/01/2018 18:13:09; LID=WEEvREcwSlJHSldRa1F' \
  181. 'hdkJkVWI2VUJNODFzUHlUaC9LNXZrUDkrcXhYbz0=$9A4hF_YAuvQ5obgVAqN' \
  182. 'KPCYcEjKensW4ggI8Fm4gTkoUKaID8j8gFw!!; c_m_expire=2018-02-01 ' \
  183. '18:13:09; Ecp_LoginStuts=%7B%22IsAutoLogin%22%3Afalse%2C%22U' \
  184. 'serName%22%3A%22KT1008%22%2C%22ShowName%22%3A%22%25E8%25A5%2' \
  185. '5BF%25E5%258D%2597%25E7%259F%25B3%25E6%25B2%25B9%25E5%25A4%' \
  186. '25A7%25E5%25AD%25A6%22%2C%22UserType%22%3A%22bk%22%2C%22r%2' \
  187. '2%3A%22RrMW7A%22%7D'
  188. headers = { 'User-Agent': user_agent,
  189. "Referer": referer,
  190. "cookie": cookie}
  191. r = requests.get(url, headers=headers, timeout=30)
  192. return r
  193. print(time.clock())
  194. beauty = BeautifulPicture() # 创建类的实例
  195. beauty.get_pic() # 执行类中的方法

发表评论

表情:
评论列表 (有 0 条评论,1381人围观)

还没有评论,来说两句吧...

相关阅读