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()
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