自己做网站除了域名还要买什么/网站联盟营销

高德POI   鉴于关键字搜索的信息最多显示900条，爬取不全的弊端，重新利用多边形搜索的矩形选框搜索，爬取相关数据

import requests
import time
import csv
import json
import pandas as pd#todo 最全的poi点爬取
def pachong(path='C:/Users/mumu/PycharmProjects/zhongxing/API_gaode/data_poi/data_test',save_name='商务住宅_住宅区',key='c3ce3f2a3a3133ad098bafef7a79c0d6',types='120300',city='370102',baselng=116.970025,baselat=36.726465,widthlng=0.05,widthlat=0.04):f = open('%s/%s_%s_%s.csv'%(path,city,types,save_name),'w+',encoding='utf-8-sig',newline='')writer = csv.writer(f)writer.writerow(['id','parent','pname','cityname','name','alias','adcode','adname','business_area','typ1','typ2','typ3','lon','lat','address','entr_location','exit_location','rating','cost','tag'])for num in range(0, 4):# 设定网格单元的左上与右下坐标的纬度值# 在这里对数据进行处理，使之保留6位小数（不保留可能会莫名其妙出错）startlat = round(baselat - num * widthlat, 6)endlat = round(startlat - widthlat, 6)for j in range(0, 5):# 设定网格单元的左下与右上坐标的经度值startlng = round(baselng + j * widthlng, 6)endlng = round(startlng + widthlng, 6)# 设置API的URL并进行输出测试locStr = str(startlng) + "," + str(startlat) + "|" + str(endlng) + "," + str(endlat)urls = ['https://restapi.amap.com/v3/place/polygon?types={}&polygon={}' \'&offset=20&page={}&key={}&extensions=all'.format(str(types),locStr,str(i),str(key)) for i in range(1,100)]# urls = urls + urlss# urls[0]#&output=xml#types指定POI类型i=0for url in urls:i = i + 1response = requests.get(url)# response = requests.get(url,parameters)if response.status_code == 200:# content2 = response.content# text2 = response.textjson2 = json.loads(response.text,strict=False)count = json2['count']# print(count,json_data)if int(count) == 0:print('翻页完毕')breakelse:print(i, str(url))pois = json2['pois']for poi in pois:# print(poi)id=poi['id']parent=poi['parent']pname=poi['pname']# citycode=poi['citycode']cityname=poi['cityname']adcode=poi['adcode']adname=poi['adname']name = poi['name']alias = poi['alias']business_area = poi['business_area']typ = poi['type']typ1 = typ.split(';')[0]typ2 = typ.split(';')[1]typ3 = typ.split(';')[2]location = poi['location']lon = location.split(',')[0]lat = location.split(',')[1]entr_location = poi['entr_location']exit_location = poi['exit_location']address = poi['address']tag = poi['tag']rating = poi['biz_ext']['rating']cost = poi['biz_ext']['cost']writer.writerow([id,parent,pname,cityname,name,alias,adcode,adname,business_area,typ1,typ2,typ3,lon,lat,address,entr_location,exit_location,rating,cost,tag])# print(pname,cityname,name,alias,adcode,adname,business_area,typ1,#       typ2,typ3,lon,lat,address,entr_location)# writer.writerow([pname,cityname,name,alias,adcode,adname,business_area,typ1,#       typ2,typ3,lon,lat,address,entr_location,exit_location])time.sleep(2)print(save_name)pachong(save_name='商务住宅_住宅区', key='c3ce3f2a3a3133ad098bafef7a79c0d6', types='120300', city='370102')
pachong(save_name='医疗保健服务_综合医院', key='c3ce3f2a3a3133ad098bafef7a79c0d6', types='090100', city='370102')pachong(save_name='交通设施服务_公交车站相关', key='c3ce3f2a3a3133ad098bafef7a79c0d6', types='150700', city='370102')pachong(save_name='科教文化服务_学校', key='c3ce3f2a3a3133ad098bafef7a79c0d6', types='141200', city='370102')
pachong(save_name='购物服务_商场', key='c3ce3f2a3a3133ad098bafef7a79c0d6', types='060100', city='370102')