视频1 视频21 视频41 视频61 视频文章1 视频文章21 视频文章41 视频文章61 推荐1 推荐3 推荐5 推荐7 推荐9 推荐11 推荐13 推荐15 推荐17 推荐19 推荐21 推荐23 推荐25 推荐27 推荐29 推荐31 推荐33 推荐35 推荐37 推荐39 推荐41 推荐43 推荐45 推荐47 推荐49 关键词1 关键词101 关键词201 关键词301 关键词401 关键词501 关键词601 关键词701 关键词801 关键词901 关键词1001 关键词1101 关键词1201 关键词1301 关键词1401 关键词1501 关键词1601 关键词1701 关键词1801 关键词1901 视频扩展1 视频扩展6 视频扩展11 视频扩展16 文章1 文章201 文章401 文章601 文章801 文章1001 资讯1 资讯501 资讯1001 资讯1501 标签1 标签501 标签1001 关键词1 关键词501 关键词1001 关键词1501 专题2001
Python爬虫实现全国失信被执行人名单查询功能示例
2020-11-27 14:12:24 责编:小采
文档

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'

下载本文
显示全文
专题