百度地图API获取数据
目前，大厂的服务范围越来越广，提供的数据信息也是比较全的，在生活服务，办公领域，人工智能等方面都全面覆盖，相对来说，他们的用户基数大，通过用户获取的信息也是巨大的。除了百度提供api，国内提供免费API获取数据的还有很多，包括新浪、豆瓣电影、饿了么、阿里、腾讯等今天使用百度地图API来请求我们想要的数据。
第一步.注册百度开发者账号
注册成功后就可以获取到应用服务AK也就是API秘钥，这个是最重要的，应用名称可以随便取，如果是普通用户一天只有2000调用限额，认证用户一天有10万次调用限额
在百度地图web服务API文档中我可以看见提供的接口和相关参数，其中就有我们要获取的AK参数，使用的GET请求
一.下面我们尝试使用API获取获取北京市的城市公园数据，需要配置参数
import requests
import json def getjson(loc):
headers = {'User-Agent' : 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}
pa = {
'q': '公园',
'region': loc,
'scope': '',
'page_size': 20,
'page_num': 0,
'output': 'json',
'ak': '填写自己的AK'
}
r = requests.get("http://api.map.baidu.com/place/v2/search", params=pa, headers= headers)
decodejson = json.loads(r.text)
return decodejson getjson('北京市')
二.获取所有拥有公园的城市
import requests
import json
def getjson(loc):
headers = {'User-Agent' : 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}
pa = {
'q': '公园',
'region': loc,
'scope': '',
'page_size': 20,
'page_num': 0,
'output': 'json',
'ak': '填写自己的AK'
}
r = requests.get("http://api.map.baidu.com/place/v2/search", params=pa, headers= headers)
decodejson = json.loads(r.text)
return decodejson province_list = ['江苏省', '浙江省', '广东省', '福建省', '山东省', '河南省', '河北省', '四川省', '辽宁省', '云南省',
'湖南省', '湖北省', '江西省', '安徽省', '山西省', '广西壮族自治区', '陕西省', '黑龙江省', '内蒙古自治区',
'贵州省', '吉林省', '甘肃省', '新疆维吾尔自治区', '海南省', '宁夏回族自治区', '青海省', '西藏自治区']
for eachprovince in province_list:
decodejson = getjson(eachprovince)
#print(decodejson["results"])
for eachcity in decodejson.get('results'):
print(eachcity)
city = eachcity['name']
#print(city)
num = eachcity['num']
output = '\t'.join([city, str(num)]) + '\r\n'
with open('cities.txt', "a+", encoding='utf-8') as f:
f.write(output)
f.close()
import requests
import json
def getjson(loc):
headers = {'User-Agent' : 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}
pa = {
'q': '公园',
'region': loc,
'scope': '',
'page_size': 20,
'page_num': 0,
'output': 'json',
'ak': '填写自己的AK'
}
r = requests.get("http://api.map.baidu.com/place/v2/search", params=pa, headers= headers)
decodejson = json.loads(r.text)
return decodejson decodejson = getjson('全国')
six_cities_list = ['北京市','上海市','重庆市','天津市','香港特别行政区','澳门特别行政区',]
for eachprovince in decodejson['results']:
city = eachprovince['name']
num = eachprovince['num']
if city in six_cities_list:
output = '\t'.join([city, str(num)]) + '\r\n'
with open('cities789.txt', "a+", encoding='utf-8') as f:
f.write(output)
f.close()
保存到文件
三.获取所有城市的公园数据，在从各个城市获取数据之前，先在MySQL建立baidumap数据库，用来存放所有的数据
#coding=utf-8
import pymysql conn= pymysql.connect(host='localhost' , user='root', passwd='*******', db ='baidumap', charset="utf8")
cur = conn.cursor()
sql = """CREATE TABLE city (
id INT NOT NULL AUTO_INCREMENT,
city VARCHAR(200) NOT NULL,
park VARCHAR(200) NOT NULL,
location_lat FLOAT,
location_lng FLOAT,
address VARCHAR(200),
street_id VARCHAR(200),
uid VARCHAR(200),
created_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (id)
);"""
cur.execute(sql)
cur.close()
conn.commit()
conn.close()
city_list = list()
with open("cities.txt", 'r', encoding='utf-8') as txt_file:
for eachLine in txt_file:
if eachLine != "" and eachLine != "\n":
fields = eachLine.split("\t")
city = fields[0]
city_list.append(city)
txt_file.close() #接下来爬取每个城市的数据，并将其加入city数据表中
import requests
import json
import pymysql conn= pymysql.connect(host='localhost' , user='root', passwd='********', db ='baidumap', charset="utf8")
cur = conn.cursor() def getjson(loc,page_num):
headers = {'User-Agent' : 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}
pa = {
'q': '公园',
'region': loc,
'scope': '',
'page_size': 20,
'page_num': page_num,
'output': 'json',
'ak': '填写自己的AK'
}
r = requests.get("http://api.map.baidu.com/place/v2/search", params=pa, headers= headers)
decodejson = json.loads(r.text)
return decodejson for eachcity in city_list:
not_last_page = True
page_num = 0
while not_last_page:
decodejson = getjson(eachcity, page_num)
#print (eachcity, page_num)
if decodejson['results']:
for eachone in decodejson['results']:
try:
park = eachone['name']
except:
park = None
try:
location_lat = eachone['location']['lat']
except:
location_lat = None
try:
location_lng = eachone['location']['lng']
except:
location_lng = None
try:
address = eachone['address']
except:
address = None
try:
street_id = eachone['street_id']
except:
street_id = None
try:
uid = eachone['uid']
except:
uid = None
sql = """INSERT INTO baidumap.city
(city, park, location_lat, location_lng, address, street_id, uid)
VALUES
(%s, %s, %s, %s, %s, %s, %s);""" cur.execute(sql, (eachcity, park, location_lat, location_lng, address, street_id, uid,))
conn.commit()
page_num += 1
else:
not_last_page = False
cur.close()
conn.close()
四.获取所有公园的详细信息
baidumap数据库已经有了city这个表格，存储了所有城市的公园数据，但是这个数据比较粗糙，接下来我们使用百度地图检索服务获取没一个公园的详情
#coding=utf-8
import pymysql conn= pymysql.connect(host='localhost' , user='root', passwd='*******', db ='baidumap', charset="utf8")
cur = conn.cursor()
sql = """CREATE TABLE park (
id INT NOT NULL AUTO_INCREMENT,
park VARCHAR(200) NOT NULL,
location_lat FLOAT,
location_lng FLOAT,
address VARCHAR(200),
street_id VARCHAR(200),
telephone VARCHAR(200),
detail INT,
uid VARCHAR(200),
tag VARCHAR(200),
type VARCHAR(200),
detail_url VARCHAR(800),
price INT,
overall_rating FLOAT,
image_num INT,
comment_num INT,
shop_hours VARCHAR(800),
alias VARCHAR(800),
keyword VARCHAR(800),
scope_type VARCHAR(200),
scope_grade VARCHAR(200),
description VARCHAR(9000),
created_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (id)
);"""
cur.execute(sql)
cur.close()
conn.commit()
conn.close()
import requests
import json
import pymysql conn= pymysql.connect(host='localhost' , user='root', passwd='********', db ='baidumap', charset="utf8")
cur = conn.cursor()
sql = "Select uid from baidumap.city where id > 0;" cur.execute(sql)
conn.commit()
results = cur.fetchall()
cur.close()
conn.close()
import requests
import json
import pymysql conn= pymysql.connect(host='localhost' , user='root', passwd='********', db ='baidumap', charset="utf8")
cur = conn.cursor()
sql = "Select uid from baidumap.city where id > 0;" cur.execute(sql)
conn.commit()
results = cur.fetchall()
#print(results) def getjson(uid):
headers = {'User-Agent' : 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}
pa = {
'uid': uid,
'scope': '',
'output': 'json',
'ak': '填写自己的AK'
}
r = requests.get("http://api.map.baidu.com/place/v2/search", params=pa, headers= headers)
decodejson = json.loads(r.text)
return decodejson for row in results:
print(row)
uid = row[0]
decodejson = getjson(uid)
#print (uid)
info = decodejson['result']
try:
park = info['name']
except:
park = None
try:
location_lat = info['location']['lat']
except:
location_lat = None
try:
location_lng = info['location']['lng']
except:
location_lng = None
try:
address = info['address']
except:
address = None
try:
street_id = info['street_id']
except:
street_id = None
try:
telephone = info['telephone']
except:
telephone = None
try:
detail = info['detail']
except:
detail = None
try:
tag = info['detail_info']['tag']
except:
tag = None
try:
detail_url = info['detail_info']['detail_url']
except:
detail_url = None
try:
type = info['detail_info']['type']
except:
type = None
try:
overall_rating = info['detail_info']['overall_rating']
except:
overall_rating = None
try:
image_num = info['detail_info']['image_num']
except:
image_num = None
try:
comment_num = info['detail_info']['comment_num']
except:
comment_num = None
try:
key_words = ''
key_words_list = info['detail_info']['di_review_keyword']
for eachone in key_words_list:
key_words = key_words + eachone['keyword'] + '/'
except:
key_words = None
try:
shop_hours = info['detail_info']['shop_hours']
except:
shop_hours = None
try:
alias = info['detail_info']['alias']
except:
alias = None
try:
scope_type = info['detail_info']['scope_type']
except:
scope_type = None
try:
scope_grade = info['detail_info']['scope_grade']
except:
scope_grade = None
try:
description = info['detail_info']['description']
except:
description = None
sql = """INSERT INTO baidumap.park
(park, location_lat, location_lng, address, street_id, uid, telephone, detail, tag, detail_url, type, overall_rating, image_num,
comment_num, keyword, shop_hours, alias, scope_type, scope_grade, description)
VALUES
(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);""" cur.execute(sql, (park, location_lat, location_lng, address, street_id, uid, telephone, detail, tag, detail_url,
type, overall_rating, image_num, comment_num, key_words, shop_hours, alias, scope_type, scope_grade, description,))
conn.commit()
cur.close()
conn.close()
百度地图API获取数据的更多相关文章
- HTML5调用百度地图API获取当前位置并直接导航目的地的方法
<!DOCTYPE html> <html lang="zh-cmn-Hans"> <meta charset="UTF-8&quo ...
- HTML5页面直接调用百度地图API,获取当前位置，直接导航目的地
<!DOCTYPE html> <html lang="zh-cmn-Hans"> <meta charset="UTF-8"&g ...
- Python 读取照片的信息：拍摄时间、拍摄设备、经纬度等，以及根据经纬度通过百度地图API获取位置
通过第三方库exifread读取照片信息.exifread官网:https://pypi.org/project/ExifRead/ 一.安装exifreadpip install exifread ...
- 批量调用百度地图API获取地址经纬度坐标
1 申请密匙 注册百度地图API:http://lbsyun.baidu.com/index.php?title=webapi 点击左侧 “获取密匙” ,经过填写个人信息.邮箱注册等,成功之后在开放平 ...
- 通过netty把百度地图API获取的地理位置从Android端发送到Java服务器端
本篇记录我在实现时的思考过程,写给之后可能遇到困难的我自己也给到需要帮助的人. 写的比较浅显,见谅. 在写项目代码的时候,需要把Android端的位置信息传输到服务器端,通过Netty达到连续传输的效 ...
- PhoneGap Geolocation结合百度地图api获取地理位置api
一.使用百度地图API 1.地址:http://developer.baidu.com/map/ 2.在js DEMO中获取反地址解析的DEMO 3.修改这个DEMO的密钥,去创建应用就能创建密钥,然 ...
- vue项目使用百度地图API获取经纬度
一.首先在百度api注册获得ak密钥 二.进行引入 (1).第一种方式: 直接在vue中index.html中用script标签引入. //你的ak密钥需要替换真实的你的ak码 <script ...
- 通过百度地图API获取经纬度以及两点间距离
package com.baidumap; import java.io.BufferedReader; import java.io.IOException; import java.io.Inpu ...
- 百度统计api获取数据
需求场景 想要了解每天多少人访问了网站,多少个新增用户,地域分布,点击了哪些页面,停留了多久,等等... 国内用的最多的就是百度统计吧,傻瓜式的注册然后插一段代码到项目里就行了. 最近也在自己的博客里 ...
随机推荐
- java设计模式 -------- 行为模式 之 策略模式(4)
[本文是自己学习所做笔记.欢迎转载,但请注明出处:http://blog.csdn.net/jesson20121020] 上面3节实现了从最初的对整形数组排序到最后能够对全部类型都能够依据须要定义自 ...
- 利用SEH进行代码混淆
这几天在重看SEH机制,收获颇丰. 随手写了一个用SEH进行跳转的代码贴于此处以作纪念. 当发生异常,并捕捉了异常.在OS的异常处理机制下.会进入异常过滤函数. 过滤函数能够返回EXCEPTION_E ...
- Oculus Rift DK2 驱动安装教程
第一次安装oculus rift硬件驱动的教程: 1. 执行驱动的下载网址:https://developer.oculusvr.com/ 下载驱动首先须要拥有一个oculus的帐号.点击Regi ...
- JavaScript基础 -- DOM
一.DOM全称 文档对象模型(Document Object Model) 二.DOM是什么 DOM可以说是制作动态页面的强有力工具.DOM不是JavaScript语言的一部分,而是内置在浏览器中的一 ...
- linux select poll and epoll
这里以socket文件来阐述它们之间的区别,假设现在服务器端有100 000个连接,即已经创建了100 000个socket. 1 select和poll 在我们的线程中,我们会弄一个死循环,在循环里 ...
- JFreeChart简单用法
需要用到的包 jfreechart-0.9.20.jar,jcommon-0.9.5.jar 创建一般步骤: 1.生成org.jfree.data.DefaultCategoryDataset对象,方 ...
- 【POJ 1330】 Nearest Common Ancestors
[题目链接] 点击打开链接 [算法] 倍增法求最近公共祖先 [代码] #include <algorithm> #include <bitset> #include <c ...
- C#实现的鼠标钩子
http://www.oschina.net/code/snippet_104607_45975 使用 Socket 获得网页内容,可以捕获错误页的内容 HttpClient http://www.o ...
- E20170612-sl
tampon n. 卫生棉塞; 止血棉塞; sanitary n. 公共厕所; adj. 卫生的; 清洁的; belonging n. 附属品,附件,属性; ...
- bzoj 2730: [HNOI2012]矿场搭建【tarjan】
先tarjan找割点和点双连通分量,然后对一个点双,如果没有割点,那么需要建立两个出口(割掉一个另一个备用):如果只有一个割点,出口可以设立在任意一个非割点的地方:如果有两个及以上个割点,就不用建出口 ...