mongoDB_웹스크래핑 결과 DB 저장

  

    
    
    
    
  
import requests
from bs4 import BeautifulSoup

from pymongo import MongoClient
client = MongoClient('mongodb+srv://test:sparta@cluster0.55vah.mongodb.net/Cluster0?retryWrites=true&w=majority')
db = client.dbsparta

# URL을 읽어서 HTML를 받아오고,
headers = {'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
data = requests.get('https://movie.naver.com/movie/sdb/rank/rmovie.naver?sel=pnt&date=20210829',headers=headers)

# HTML을 BeautifulSoup이라는 라이브러리를 활용해 검색하기 용이한 상태로 만듦
soup = BeautifulSoup(data.text, 'html.parser')

# select를 이용해서, tr들을 불러오기
movies = soup.select('#old_content > table > tbody > tr')

# movies (tr들) 의 반복문을 돌리기
for movie in movies:
    # movie 안에 a 가 있으면,
    a_tag = movie.select_one('td.title > div > a')
    if a_tag is not None:
        rank = movie.select_one('td:nth-child(1) > img')['alt'] # img 태그의 alt 속성값을 가져오기
        title = a_tag.text                                      # a 태그 사이의 텍스트를 가져오기
        star = movie.select_one('td.point').text                # td 태그 사이의 텍스트를 가져오기
        doc = {
            'rank': rank,
            'title': title,
            'star': star
        }
        db.movies.insert_one(doc)

 

특정 자료 가져오기

  

    
    
    
    
  
target_movie = db.movies.find_one({'title':'가버나움'})
print(target_movie['star'])

 

특정자료 이용하여 연관된 자료 가져오기

  

    
    
    
    
  
target_movie = db.movies.find_one({'title':'가버나움'})
target_star = target_movie['star']

movies = list(db.movies.find({'star':target_star}))

for movie in movies:
    print(movie['title'])

 

특정자료 수정하기

  

    
    
    
    
  
db.movies.update_one({'title':'가버나움'},{'$set':{'star':'0'}})

 

연습

  

    
    
    
    
  
import requests
from bs4 import BeautifulSoup

headers = {'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
data = requests.get('https://www.genie.co.kr/chart/top200?ditc=M&rtm=N&ymd=20210701',headers=headers)

soup = BeautifulSoup(data.text, 'html.parser')

trs = soup.select('#body-content > div.newest-list > div > table > tbody > tr')

for tr in trs:
    title = tr.select_one('td.info > a.title.ellipsis').text.strip()
    rank = tr.select_one('td.number').text[0:2].strip()
    artist = tr.select_one('td.info > a.artist.ellipsis').text
    print(rank, title, artist)