├── README.md ├── cutmap.py ├── data_amap.json ├── excel_merge.py ├── get_poi_by_polygon.py └── huoxing2wgs84.py /README.md: -------------------------------------------------------------------------------- 1 | ###通过切块爬取高德地图POI数据### 2 | 3 | 4 | Tips：通过城市名爬取高德地图POI详见https://github.com/zhoujungis/amap_poi_scrapy 5 | 6 | 7 | 1.运行cutmap.py，将整个大块区域分割成POI数据不超过720条的小区域（修改路径，Key） 8 | 9 | 2.运行get_poi_by_polygon.py，分块爬取数据（修改路径，Key） 10 | 11 | 3.去除所有表头，只保留一个，然后使用excel_merge.py合并所有的excel（修改对应的路径） 12 | 13 | 4.数据分列，将location分为lon和lat两列 14 | 15 | 5.使用huoxing2wgs84.py进行坐标转换，转化为wgs1984，然后利用arcgis转化为shape文件，all done！！！（修改对应的路径） 16 | 17 | 6.有问题请联系；zhoujunseu@163.com 18 | -------------------------------------------------------------------------------- /cutmap.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Thu Nov 29 18:48:19 2018 4 | 5 | @author: zhouj 6 | """ 7 | 8 | import requests 9 | import time 10 | import json 11 | 12 | def DownloadHtml(url): 13 | request = requests.get(url=url, timeout=(5, 27)) 14 | html = request.text 15 | request.close() 16 | return html 17 | 18 | #base_url=http://restapi.amap.com/v3/place/polygon?polygon= 19 | #url=http://restapi.amap.com/v3/place/polygon?polygon=108.640287,26.043184;110.579374,27.275355&key=你的KEY&extensions=all&offset=5&page=1 20 | def CutChina(xmin,ymin,xmax,ymax,base_url,types,key): 21 | url = base_url+str(xmin)+","+str(ymin)+";"+str(xmax)+","+str(ymax)+"&types="+types+"&key="+key+"&extensions=all&offset=5&page=1" 22 | file = "MapCutPoint/"+types+".txt" 23 | data = DownloadHtml(url=url) 24 | jsonData=json.loads(data) 25 | count=int(jsonData["count"]) 26 | print(count) 27 | if(0720): 33 | midX = (xmin+xmax)/2 34 | midY = (ymin+ymax)/2 35 | time.sleep(1) 36 | CutChina(xmin,ymin,midX,midY,base_url,types,key) 37 | time.sleep(1) 38 | CutChina(midX,ymin,xmax,midY,base_url,types,key) 39 | time.sleep(1) 40 | CutChina(xmin,midY,midX,ymax,base_url,types,key) 41 | time.sleep(1) 42 | CutChina(midX,midY,xmax,ymax,base_url,types,key) 43 | 44 | if __name__ == "__main__": 45 | key = “” 46 | base_url = "http://restapi.amap.com/v3/place/polygon?polygon=" 47 | #typelist=["01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","22","97","99"] 48 | typelist = ["01"] 49 | for type0 in typelist: 50 | types = type0+"0000" 51 | CutChina(71.234018,17.725738,136.139681,55.28893,base_url,types,key) 52 | -------------------------------------------------------------------------------- /data_amap.json: -------------------------------------------------------------------------------- 1 | [{"id": "B02B300CU3", "parent": [], "name": "\u9646\u53d1\u5764\u52a0\u6cb9\u7ad9", "tag": [], "type": "\u6c7d\u8f66\u670d\u52a1;\u52a0\u6cb9\u7ad9;\u52a0\u6cb9\u7ad9", "typecode": "010100", "biz_type": [], "address": "\u60e0\u52d0\u516c\u8def\u4e0e029\u4e61\u9053\u4ea4\u53c9\u53e3\u897f\u5317200\u7c73", "location": "100.123322,22.196467", 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"url": "http://aos-cdn-image.amap.com/sns/ugccomment/5d394b94-4da1-4d36-bf57-897afdeec959.jpg"}]}] -------------------------------------------------------------------------------- /excel_merge.py: -------------------------------------------------------------------------------- 1 | import xlrd 2 | import xlsxwriter 3 | import os 4 | 5 | #打开一个excel文件 6 | def open_xls(file): 7 | fh=xlrd.open_workbook(file) 8 | return fh 9 | 10 | #获取excel中所有的sheet表 11 | def getsheet(fh): 12 | return fh.sheets() 13 | 14 | #获取sheet表的行数 15 | def getnrows(fh,sheet): 16 | table=fh.sheets()[sheet] 17 | return table.nrows 18 | 19 | #读取文件内容并返回行内容 20 | def getFilect(file,shnum): 21 | fh=open_xls(file) 22 | table=fh.sheets()[shnum] 23 | num=table.nrows 24 | for row in range(num): 25 | rdata=table.row_values(row) 26 | datavalue.append(rdata) 27 | return datavalue 28 | 29 | #获取sheet表的个数 30 | def getshnum(fh): 31 | x=0 32 | sh=getsheet(fh) 33 | for sheet in sh: 34 | x+=1 35 | return x 36 | 37 | 38 | def all_file(path_par): 39 | path_list=[] 40 | for parent,dirnames,filenames in os.walk(path_par): #三个参数：分别返回1.父目录 2.所有文件夹名字（不含路径） 3.所有文件名字 41 | for filename in filenames: 42 | c=os.path.join(parent, filename) 43 | path_list.append(c) 44 | return path_list 45 | 46 | if __name__=='__main__': 47 | #定义要合并的excel文件列表 48 | filepath=r'' 49 | allxls=all_file(filepath) 50 | #存储所有读取的结果 51 | datavalue=[] 52 | for fl in allxls: 53 | fh=open_xls(fl) 54 | x=getshnum(fh) 55 | for shnum in range(x): 56 | print("正在读取文件："+str(fl)+"的第"+str(shnum)+"个sheet表的内容...") 57 | rvalue=getFilect(fl,shnum) 58 | #定义最终合并后生成的新文件 59 | endfile=r'' 60 | wb1=xlsxwriter.Workbook(endfile) 61 | #创建一个sheet工作对象 62 | ws=wb1.add_worksheet() 63 | for a in range(len(rvalue)): 64 | for b in range(len(rvalue[a])): 65 | c=rvalue[a][b] 66 | ws.write(a,b,c) 67 | wb1.close() 68 | print("文件合并完成") 69 | -------------------------------------------------------------------------------- /get_poi_by_polygon.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Fri Nov 30 17:10:24 2018 4 | 5 | @author: zhouj 6 | """ 7 | 8 | import json 9 | import xlwt 10 | from datetime import datetime 11 | from urllib import request 12 | from urllib.parse import quote 13 | import time 14 | import os 15 | 16 | #定义矩形边界的一个类 17 | class Rec: 18 | def __init__(self,xmin,ymin,xmax,ymax): 19 | self.xmin = xmin 20 | self.ymin = ymin 21 | self.xmax = xmax 22 | self.ymax = ymax 23 | 24 | # 获取数据 25 | # base_url = http://restapi.amap.com/v3/place/polygon?polygon= 26 | def get_data(pageindex,base_url,rec,types,key): 27 | global total_record 28 | # 暂停500毫秒，防止过快取不到数据 29 | time.sleep(0.5) 30 | print('解析页码： ' + str(pageindex) + ' ... ...') 31 | url = base_url+str(rec.xmin)+","+str(rec.ymin)+","+str(rec.xmax)+","+str(rec.ymax)+"&types="+types+"&key="+key+"&extensions=all&offset=25&page="+str(pageindex) 32 | # 中文编码 33 | print(url) 34 | url = quote(url, safe='/:?&=') 35 | html = "" 36 | with request.urlopen(url) as f: 37 | html = f.read() 38 | rr = json.loads(html) 39 | if total_record == 0: 40 | total_record = int(rr['count']) 41 | return rr['pois'] 42 | 43 | def getPOIdata(page_size,json_name,base_url,rec,types,key): 44 | global total_record 45 | print('获取POI数据开始') 46 | josn_data = get_data(1,base_url,rec,types,key) 47 | if (total_record % page_size) != 0: 48 | page_number = int(total_record / page_size) + 2 49 | else: 50 | page_number = int(total_record / page_size) + 1 51 | 52 | with open(json_name, 'w') as f: 53 | # 去除最后] 54 | f.write(json.dumps(josn_data).rstrip(']')) 55 | for each_page in range(2, page_number): 56 | html = json.dumps(get_data(each_page,base_url,rec,types,key)).lstrip('[').rstrip(']') 57 | if html: 58 | html = "," + html 59 | f.write(html) 60 | print('已保存到json文件：' + json_name) 61 | f.write(']') 62 | print('获取POI数据结束') 63 | 64 | 65 | # 写入数据到excel 66 | def write_data_to_excel(json_name,hkeys,bkeys,name): 67 | # 获取当前日期 68 | today = datetime.today() 69 | # 将获取到的datetime对象仅取日期 70 | today_date = datetime.date(today) 71 | 72 | # 从文件中读取数据 73 | fp = open(json_name, 'r') 74 | result = json.loads(fp.read()) 75 | # 实例化一个Workbook()对象(即excel文件) 76 | wbk = xlwt.Workbook() 77 | # 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。 78 | sheet = wbk.add_sheet('Sheet1', cell_overwrite_ok=True) 79 | 80 | # 创建表头 81 | # for循环访问并获取数组下标enumerate函数 82 | #for index, hkey in enumerate(hkeys): 83 | # sheet.write(0, index, hkey) 84 | 85 | # 遍历result中的每个元素。 86 | for i in range(len(result)): 87 | values = result[i] 88 | n = i 89 | for index, key in enumerate(bkeys): 90 | val = "" 91 | # 判断是否存在属性key 92 | if key in values.keys(): 93 | val = values[key] 94 | sheet.write(n, index, val) 95 | wbk.save(name + str(today_date) + '.xls') 96 | print('保存到excel文件： ' + name + str(today_date) + '.xls!') 97 | 98 | def readRec(file): 99 | with open(file,encoding="utf-8") as f: 100 | return f.readlines() 101 | 102 | if __name__ == '__main__': 103 | key = “” 104 | base_url = "http://restapi.amap.com/v3/place/polygon?polygon=" 105 | json_name = 'data_amap.json' 106 | if not os.path.exists('poi_data'): 107 | os.makedirs('poi_data') 108 | typelist=["01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","22","97","99"] 109 | for type0 in typelist: 110 | i=0 111 | types = type0+"0000" 112 | file = "E:/study/20181128/MapCutPoint/"+types+".txt" 113 | Reclist = readRec(file) 114 | for recpolygon in Reclist: 115 | i=i+1 116 | pol = recpolygon.split(",") 117 | rec = Rec(float(pol[0]),float(pol[1]),float(pol[2]),float(pol[3])) 118 | 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 119 | global total_record 120 | total_record = 0 121 | getPOIdata(page_size,json_name,base_url,rec,types,key) 122 | 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', 123 | '所在商圈'] 124 | # 获取数据列 125 | bkeys = ['id', 'biz_type', 'name', 'type', 'address', 'tel', 'location', 'pcode', 'pname', 'citycode', 'cityname', 126 | 'adcode', 'adname', 'business_area'] 127 | write_data_to_excel(json_name,hkeys,bkeys,str("poi_data/"+types+"-"+str(i)+"-高德地图")) 128 | if(i%13==0): 129 | time.sleep(30) 130 | elif(i%13!=0): 131 | time.sleep(10) 132 | 133 | -------------------------------------------------------------------------------- /huoxing2wgs84.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import json 3 | import math 4 | 5 | x_pi = 3.14159265358979324 * 3000.0 / 180.0 6 | pi = 3.1415926535897932384626 # π 7 | a = 6378245.0 # 长半轴 8 | ee = 0.00669342162296594323 # 扁率 9 | 10 | def wgs84togcj02(lng, lat): 11 | """ 12 | WGS84转GCJ02(火星坐标系) 13 | :param lng:WGS84坐标系的经度 14 | :param lat:WGS84坐标系的纬度 15 | :return: 16 | """ 17 | if out_of_china(lng, lat): # 判断是否在国内 18 | return lng, lat 19 | dlat = transformlat(lng - 105.0, lat - 35.0) 20 | dlng = transformlng(lng - 105.0, lat - 35.0) 21 | radlat = lat / 180.0 * pi 22 | magic = math.sin(radlat) 23 | magic = 1 - ee * magic * magic 24 | sqrtmagic = math.sqrt(magic) 25 | dlat = (dlat * 180.0) / ((a * (1 - ee)) / (magic * sqrtmagic) * pi) 26 | dlng = (dlng * 180.0) / (a / sqrtmagic * math.cos(radlat) * pi) 27 | mglat = lat + dlat 28 | mglng = lng + dlng 29 | return [mglng, mglat] 30 | 31 | 32 | def gcj02towgs84(lng, lat): 33 | """ 34 | GCJ02(火星坐标系)转GPS84 35 | :param lng:火星坐标系的经度 36 | :param lat:火星坐标系纬度 37 | :return: 38 | """ 39 | if out_of_china(lng, lat): 40 | return lng, lat 41 | dlat = transformlat(lng - 105.0, lat - 35.0) 42 | dlng = transformlng(lng - 105.0, lat - 35.0) 43 | radlat = lat / 180.0 * pi 44 | magic = math.sin(radlat) 45 | magic = 1 - ee * magic * magic 46 | sqrtmagic = math.sqrt(magic) 47 | dlat = (dlat * 180.0) / ((a * (1 - ee)) / (magic * sqrtmagic) * pi) 48 | dlng = (dlng * 180.0) / (a / sqrtmagic * math.cos(radlat) * pi) 49 | mglat = lat + dlat 50 | mglng = lng + dlng 51 | return [lng * 2 - mglng, lat * 2 - mglat] 52 | 53 | 54 | def transformlat(lng, lat): 55 | ret = -100.0 + 2.0 * lng + 3.0 * lat + 0.2 * lat * lat + \ 56 | 0.1 * lng * lat + 0.2 * math.sqrt(math.fabs(lng)) 57 | ret += (20.0 * math.sin(6.0 * lng * pi) + 20.0 * 58 | math.sin(2.0 * lng * pi)) * 2.0 / 3.0 59 | ret += (20.0 * math.sin(lat * pi) + 40.0 * 60 | math.sin(lat / 3.0 * pi)) * 2.0 / 3.0 61 | ret += (160.0 * math.sin(lat / 12.0 * pi) + 320 * 62 | math.sin(lat * pi / 30.0)) * 2.0 / 3.0 63 | return ret 64 | 65 | 66 | def transformlng(lng, lat): 67 | ret = 300.0 + lng + 2.0 * lat + 0.1 * lng * lng + \ 68 | 0.1 * lng * lat + 0.1 * math.sqrt(math.fabs(lng)) 69 | ret += (20.0 * math.sin(6.0 * lng * pi) + 20.0 * 70 | math.sin(2.0 * lng * pi)) * 2.0 / 3.0 71 | ret += (20.0 * math.sin(lng * pi) + 40.0 * 72 | math.sin(lng / 3.0 * pi)) * 2.0 / 3.0 73 | ret += (150.0 * math.sin(lng / 12.0 * pi) + 300.0 * 74 | math.sin(lng / 30.0 * pi)) * 2.0 / 3.0 75 | return ret 76 | 77 | 78 | def out_of_china(lng, lat): 79 | """ 80 | 判断是否在国内，不在国内不做偏移 81 | :param lng: 82 | :param lat: 83 | :return: 84 | """ 85 | if lng < 72.004 or lng > 137.8347: 86 | return True 87 | if lat < 0.8293 or lat > 55.8271: 88 | return True 89 | return False 90 | 91 | #利用excel手动将合成的excel转化为csv，此处需要传入csv文件 92 | f=open(r".csv","r") 93 | fnew=open(r".csv","w") 94 | f.readline() 95 | lines = f.readlines() 96 | for line in lines: 97 | #print(line.split(",")[-9]) 98 | lng=float(line.split(",")[-9]) 99 | lat=float(line.split(",")[-8]) 100 | lng_new,lat_new=gcj02towgs84(lng,lat) 101 | line=line.replace(str(lng),str(lng_new)) 102 | line=line.replace(str(lat),str(lat_new)) 103 | 104 | fnew.write(line) 105 | 106 | f.close() 107 | fnew.close() 108 | --------------------------------------------------------------------------------