高德API调取具体POI存在几个问题：调取次数限制、每次获取的数据量限制900。
推荐：在调取城市POI具体数据的基础上，先将城市区域切分网格，然后可以获取城市POI数据；
一个git解决全部问题：POI获取
运行app.py，
修改参数 ：1、app.py内部切分城市区域网格颗粒度pology_split_distance ,推荐0.05
2、app.py内部城市编码:city_code；
3、app.py内部POI类型编码type_code。
特别提醒：app.py脚本依赖area_boundary.py，city_grid.py，transCoordinateSystem.py，这三个包都需要下载或者复制到本地。
感谢大神：git地址：https://github.com/liujiao111/poi
如果不需要城市全量数据，只需要部分数据做分析，下面这段脚本足以解决日常需要！
# 高德地图：http://ditu.amap.com/ # 高德地图poi：http://lbs.amap.com/api/webservice/guide/api/search/#text # 首先得申请一个下载poi数据的key，然后在对应位置填入你的key import json import xlwt from datetime import datetime from urllib import request from urllib.parse import quote import time import os # 获取数据 def get_data(pageindex, url_amap): global total_record # 暂停500毫秒，防止过快取不到数据 time.sleep(0.5) print(\'解析页码： \' + str(pageindex) + \' ... ...\') url = url_amap.replace(\'pageindex\', str(pageindex)) # 中文编码 url = quote(url, safe=\'/:?&=\') html = "" with request.urlopen(url) as f: html = f.read() rr = json.loads(html) if total_record == 0: total_record = rr[\'count\'] return rr[\'pois\'] def getPOIdata(page_size, json_name, url_amap): global total_record print(\'获取POI数据开始\') josn_data = get_data(1, url_amap) if (int(total_record) % page_size) != 0: page_number = int(int(total_record) / page_size) + 2 else: page_number = int(int(total_record)/ page_size) + 1 with open(json_name, \'w\') as f: # 去除最后] f.write(json.dumps(josn_data).rstrip(\']\')) for each_page in range(2, page_number): html = json.dumps(get_data(each_page, url_amap)).lstrip(\'[\').rstrip(\']\') if html: html = "," + html f.write(html) print(\'已保存到json文件：\' + json_name) f.write(\']\') print(\'获取POI数据结束\') # 写入数据到excel def write_data_to_excel(json_name, hkeys, bkeys, name): # 获取当前日期 today = datetime.today() # 将获取到的datetime对象仅取日期 today_date = datetime.date(today) # 从文件中读取数据 fp = open(json_name, \'r\') result = json.loads(fp.read()) # 实例化一个Workbook()对象(即excel文件) wbk = xlwt.Workbook() # 新建一个名为Sheet1的excel sheet。此处的cell_overwrite_ok =True是为了能对同一个单元格重复操作。 sheet = wbk.add_sheet(\'Sheet1\', cell_overwrite_ok=True) # 创建表头 # for循环访问并获取数组下标enumerate函数 for index, hkey in enumerate(hkeys): sheet.write(0, index, hkey) # 遍历result中的每个元素。 for i in range(len(result)): values = result[i] n = i + 1 for index, key in enumerate(bkeys): val = "" # 判断是否存在属性key if key in values.keys(): val = values[key] sheet.write(n, index, val) wbk.save(name + str(today_date) + \'.xls\') print(\'保存到excel文件： \' + name + str(today_date) + \'.xls!\') if __name__ == \'__main__\': json_name = \'data_amap.json\' #os.makedirs(\'data_index\') # 高德地图poi：http://lbs.amap.com/api/webservice/guide/api/search/#text # city = ["北京市","天津市","上海市","重庆市","河北省","山西省","辽宁省","吉林省","黑龙江","江苏省","浙江省", # "安徽省","福建省","江西省","山东省","河南省","湖北省","湖南省","广东省","海南省","四川省","贵州省", # "云南省","陕西省","甘肃省","青海省","*省","内蒙古自治区","广西壮族自治区","*自治区","宁夏回族自治区","**自治区","香港特别行政区","澳门特别行政区"] # 解析city.json数据，读取城市列表 city = ["上海市"] # data = open("city.json", encoding="utf-8-sig") # # 转换为python对象 # strJson = json.load(data) # for i in range(len(strJson)): # city.append(strJson[i][\'n\']) keyword = ["住宅"] # 关键词："加油站","汽车销售","汽车维修","美食","购物","生活服务","体育休闲","医疗保健","宾馆酒店","风景",...等等 # type具体可以查表http://lbs.amap.com/api/webservice/guide/api/search/#text # type = ["010000","020000","030000","050000","060000","070000","080000","090000","100000","110000","140000","150000","160000"] type = ["120300",\'120301\',\'120302\',\'120303\',\'120304\'] for i in range(0, len(city)): for j in range(0, len(keyword)): url_amap = \'http://restapi.amap.com/v3/place/text?key=你申请的key&keywords=\' + keyword[j] + \'&types=\' + type[j] + \'&city=\' + city[i] + \'&citylimit=true&children=1&offset=20&page=pageindex&extensions=all\' page_size = 25 # 每页记录数据，强烈建议不超过25，若超过25可能造成访问报错 page_index = r\'page=1\' # 显示页码 global total_record total_record = 0 # Excel表头 hkeys = [\'id\', \'行业类型\', \'名称\', \'类型\', \'地址\', \'联系电话\', \'location\', \'省份代码\', \'省份名称\', \'城市代码\', \'城市名称\', \'区域代码\', \'区域名称\', \'所在商圈\'] # 获取数据列 bkeys = [\'id\', \'biz_type\', \'name\', \'type\', \'address\', \'tel\', \'location\', \'pcode\', \'pname\', \'citycode\', \'cityname\',\'adcode\', \'adname\', \'business_area\'] # 写入数据到json文件，第二次运行可注释 getPOIdata(page_size, json_name, url_amap) # 读取json文件数据写入到excel # os.makedirs("data_index\\"+city[i]) write_data_to_excel(json_name, hkeys, bkeys, "data_index\\" + city[0] + keyword[j] + "-高德地图") if (i % 13 == 0): time.sleep(15) elif (i % 13 != 0): time.sleep(15)
