這篇文章將為大家詳細講解有關Python爬蟲如何實現(xiàn)全國失信被執(zhí)行人名單查詢功能，小編覺得挺實用的，因此分享給大家做個參考，希望大家閱讀完這篇文章后可以有所收獲。

創(chuàng)新互聯(lián)堅持“要么做到，要么別承諾”的工作理念，服務領域包括：成都網(wǎng)站設計、成都做網(wǎng)站、企業(yè)官網(wǎng)、英文網(wǎng)站、手機端網(wǎng)站、網(wǎng)站推廣等服務，滿足客戶于互聯(lián)網(wǎng)時代的新豐網(wǎng)站設計、移動媒體設計的需求，幫助企業(yè)找到有效的互聯(lián)網(wǎng)解決方案。努力成為您成熟可靠的網(wǎng)絡建設合作伙伴！

一、需求說明

利用百度的接口，實現(xiàn)一個全國失信被執(zhí)行人名單查詢功能。輸入姓名，查詢是否在全國失信被執(zhí)行人名單中。

二、python實現(xiàn)

版本1：

# -*- 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=[]
def person_executed(name):
  for i in range(0,30):
    try:
      url="https://sp0.baidu.com/8aQDcjqpAAV3otqbppnN2DJv/api.php?resource_id=6899" \
      "&query=%E5%A4%B1%E4%BF%A1%E8%A2%AB%E6%89%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']
          iname.append(each['iname'])
          icard.append(each['cardNum'])
    except:
      pass
if __name__ == '__main__':
  name="郭**"
  person_executed(name)
  print len(iname)
  #####################將數(shù)據(jù)組織成數(shù)據(jù)框###########################
  data=pd.DataFrame({"name":iname,"IDCard":icard})
  #################數(shù)據(jù)框去重####################################
  data1=data.drop_duplicates()
  print data1
  print len(data1)
  #########################寫出數(shù)據(jù)到excel#########################################
  pd.DataFrame.to_excel(data1,"F:\\iname_icard_query.xlsx",header=True,encoding='gbk',index=False)
  time2=time.time()
  print u'ok,爬蟲結(jié)束!'
  print u'總共耗時：'+str(time2-time1)+'s'

三、效果展示

"D:\Program Files\Python27\python.exe" D:/PycharmProjects/learn2017/全國失信被執(zhí)行人查詢.py
郭** 34122319790****5119
郭** 32032119881****2419
郭** 32032119881****2419
3
                IDCard name
0  34122319790****5119  郭**
1  32032119881****2419  郭**
2
ok,爬蟲結(jié)束!
總共耗時：7.72000002861s
Process finished with exit code 0

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=6899" \
      "&query=%E5%A4%B1%E4%BF%A1%E8%A2%AB%E6%89%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)
  #####################將數(shù)據(jù)組織成數(shù)據(jù)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})
  #################數(shù)據(jù)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)
  #########################寫出數(shù)據(jù)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,爬蟲結(jié)束!'
  print u'總共耗時：'+str(time2-time1)+'s'

關于“Python爬蟲如何實現(xiàn)全國失信被執(zhí)行人名單查詢功能”這篇文章就分享到這里了，希望以上內(nèi)容可以對大家有一定的幫助，使各位可以學到更多知識，如果覺得文章不錯，請把它分享出去讓更多的人看到。

分享標題：Python爬蟲如何實現(xiàn)全國失信被執(zhí)行人名單查詢功能-創(chuàng)新互聯(lián)
文章源于：http://weahome.cn/article/ddjjce.html