全国失信被执行人员官网查询系统

发布网友 发布时间：2022-04-21 09:50

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懂视网 时间：2022-04-18 09:49

版本2：

# -*- coding:utf-8*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import time
import requests
time1=time.time()
import pandas as pd
import json
iname=[]
icard=[]
courtName=[]
areaName=[]
caseCode=[]
duty=[]
performance=[]
disruptTypeName=[]
publishDate=[]
def person_executed(name):
 for i in range(0,30):
 try:
 url="https://sp0.baidu.com/8aQDcjqpAAV3otqbppnN2DJv/api.php?resource_id=69" 
 "&query=%E5%A4%B1%E4%BF%A1%E8%A2%AB%E6%%A7%E8%A1%8C%E4%BA%BA%E5%90%8D%E5%8D%95" 
 "&cardNum=&" 
 "iname="+str(name)+ 
 "&areaName=" 
 "&pn="+str(i*10)+ 
 "&rn=10" 
 "&ie=utf-8&oe=utf-8&format=json"
 html=requests.get(url).content
 html_json=json.loads(html)
 html_data=html_json['data']
 for each in html_data:
 k=each['result']
 for each in k:
  print each['iname'],each['cardNum'],each['courtName'],each['areaName'],each['caseCode'],each['duty'],each['performance'],each['disruptTypeName'],each['publishDate']
  iname.append(each['iname'])
  icard.append(each['cardNum'])
  courtName.append(each['courtName'])
  areaName.append(each['areaName'])
  caseCode.append(each['caseCode'])
  duty.append(each['duty'])
  performance.append(each['performance'])
  disruptTypeName.append(each['disruptTypeName'])
  publishDate.append(each['publishDate'])
 except:
 pass
if __name__ == '__main__':
 name="郭**"
 person_executed(name)
 print len(iname)
 #####################将数据组织成数据框###########################
 # data=pd.DataFrame({"name":iname,"IDCard":icard})
 detail_data=pd.DataFrame({"name":iname,"IDCard":icard,"courtName":courtName,"areaName":areaName,"caseCode":caseCode,"duty":duty,"performance":performance,
  "disruptTypeName":disruptTypeName,"publishDate":publishDate})
 #################数据框去重####################################
 # data1=data.drop_duplicates()
 # print data1
 # print len(data1)
 detail_data1=detail_data.drop_duplicates()
 # print detail_data1
 # print len(detail_data1)
 #########################写出数据到excel#########################################
 pd.DataFrame.to_excel(detail_data1,"F:iname_icard_query.xlsx",header=True,encoding='gbk',index=False)
 time2=time.time()
 print u'ok,爬虫结束!'
 print u'总共耗时：'+str(time2-time1)+'s'

热心网友 时间：2022-04-18 06:57

摘要中国执行信息公开网中国执行信息公开网用于全国*失信被执行人名单信息公布与查询，是中华人民共和国最高人民*建设的司法公开三大平台之一，公布全国*失信被执行人名单信息。咨询记录 · 回答于2021-10-01全国*失信被执行人员官网查询系统中国执行信息公开网中国执行信息公开网用于全国*失信被执行人名单信息公布与查询，是中华人民共和国最高人民*建设的司法公开三大平台之一，公布全国*失信被执行人名单信息。