Python爬虫实现全国失信被执行人名单查询功能示例

# -*- 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)
 #####################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'