[카카오 지도] 다음 뉴스 기사를 분석하여 식신로드 맛집 정보 추출 후 지도에 표시하기

In [18]:

import requests
from bs4 import BeautifulSoup
import folium
import re

In [19]:

url = 'https://www.wikitree.co.kr/articles/217101'

response = requests.get(url)
text = response.text
soup = BeautifulSoup(text) 

In [20]:

# 가게이름 찾기
restaurent_name = soup.select('div.article_body strong')
res_names = []
for names in restaurent_name:
    if '회' in str(names):
        names2 = names.text
        names3 = names2[3:].lstrip()
        res_names.append(names3)
        
res_names[13] = '155회 영화루'
res_names[19] = '225회 애성회관'

In [21]:

# 가게 전화번호 찾기


# tel_p = re.compile('\d{2,3}-\d{3,4}-\d{4}')

# tel_list = []
# for item in restaurent_address:
#     str_item = str(item)
#     info = tel_p.findall(str_item)
#     if info:
#         tel_list.append(info)

# for list in tel_list:
#     print(list)

# BeautifulSoup 에 있는 find_all 함수의 속성으로 정규표현식을 사용
# tel_p = re.compile('\d{2,3}-\d{3,4}-\d{4}')
# tel_data = soup.find_all(string=tel_p)
# for list2 in tel_data:
#     print(list2)

In [22]:

# 가게 주소 및 전화번호 찾기
restaurent_address = soup.select('div.article_body p')
rest_addresses = []
rest_tel =[]
for i in restaurent_address:
    if '서울' in str(i):
        add1= i.text
        add2 = add1.replace('서울','서울시')
        add3 = add2.replace('서울시시', '서울시')
        rest_addresses.append(add3)
    elif '종로구' in str(i):
        add4 = i.text.replace('종로구', '서울시 종로구')
        add5 = add4[0:-11]
        rest_addresses.insert(17,add5)
    elif '02' in str(i):
        tels = i.text.replace('\xa0','')
        rest_tel.append(tels)
      
del rest_addresses[0]

In [23]:

import pickle

In [24]:

app_key = 'c783e490bd8b307ed6137b9696ef7b85'
app_key = 'KakaoAK ' + app_key

In [25]:

area_codes = []
b=0
for addre in rest_addresses:
    b = b+1
    address = addre
    url = 'https://dapi.kakao.com'
    url = url + '/v2/local/search/address.json'
    params = { 'query': address }
    headers = { 'Authorization': app_key }
    response = requests.get(url, headers=headers, params=params)
    area_code = response.json()
#     print(b,"x: "+area_code['documents'][0]['road_address']['x'], "y: "+area_code['documents'][0]['road_address']['y'])
    x = area_code['documents'][0]['x'] #경도
    y = area_code['documents'][0]['y'] #위도
#     print(b,"위도:{0},경도:{1}".format(y,x))
    code = (y,x)
    area_codes.append(code)

In [31]:

foodload_list = list(zip(res_names,rest_tel,rest_addresses,area_codes))

In [27]:

with open('foodload.pkl','wb') as f:
    pickle.dump(foodload_list, f)

In [33]:

with open('foodload.pkl','rb') as f:
    data = pickle.load(f)

In [29]:

import folium

In [45]:

map = folium.Map(location= (area_codes[0][0], area_codes[0][1]), zoom_start=12)

for i in range(len(area_codes)):
#     print(area_codes[i][0],area_codes[i][1])
    folium.Marker((area_codes[i][0],area_codes[i][1]), popup=res_names[i], icon=folium.Icon(color='red', icon='flag')).add_to(map)
map.save("food_map.html")
map

Out[45]:

Make this Notebook Trusted to load map: File -> Trust Notebook

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