Home [SeSAC]파이썬 데이터 처리 프로그래밍-3일차
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[SeSAC]파이썬 데이터 처리 프로그래밍-3일차

Posted Aug 2, 2023
By syshin
views 7 min read

공공데이터포털 API 사용

  • 접속(https://www.data.go.kr/)
  • 가입
  • 데이터 활용 신청 (https://www.data.go.kr/data/15059468/openapi.do)
  • OpenAPI 인증키 발급: 마이페이지 > 데이터활용 > Open API > 인증키 발급 현황

기상청 데이터 API 사용

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import requests

url = "http://apis.data.go.kr/1360000/MidFcstInfoService/getMidFcst"
params = {
    'serviceKey':'{개인인증키}',
    'numOfRows':'10',
    'pageNo':'1',
    'dataType':'JSON',
    'stnId':'108',
    'tmFc':'202308020600'
}
response = requests.get(url,params=params)
data = response.json()
print(data)

개인인증키 사용시: Encoding이 아닌 Decoding으로 사용해야 한다

JSON 보기 쉽게 출력:pprint(prettyprint)

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import pprint
pprint.pprint(data)

Selenium

  • 동적 크롤링을 위한 라이브러리
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from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
import requests
import time
release = 'https://chromedriver.storage.googleapis.com/LATEST_RELEASE'
version = requests.get(release).text
service = Service(ChromeDriverManager(version=version).install())
d = webdriver.Chrome(service=service)
try:
    d.get("https://naver.com")
except Exception as e:
    print(e)
finally:
    time.sleep(2)
    d.close()
    d.quit()

Webdriver이 Chrome의 최신 버전대로 업데이트가 되지 않아있어 문제발생했지만, release정보를 받아와 version에 입력해줌으로써 해결

네이버 뉴스 기사 동적 크롤링

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from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import requests
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
release = 'https://chromedriver.storage.googleapis.com/LATEST_RELEASE'
version = requests.get(release).text
service = Service(ChromeDriverManager(version=version).install())
d = webdriver.Chrome(service=service)
try:
    d.get("https://news.naver.com/main/main.naver?mode=LSD&mid=shm&sid1=105")
    section = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, ".section_body")))
    lis = section.find_elements(By.CSS_SELECTOR, "ul > li")
    for li in lis:
        print(li.text)
            
    for i in range(2, 6):
        print(f"================================{i}========================================")

        page_area = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "#paging")))
        page_2 = page_area.find_element(By.LINK_TEXT, f"{i}")
        page_2.click()
        time.sleep(0.5)
        section = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, ".section_body")))
        lis = section.find_elements(By.CSS_SELECTOR, "ul > li")
        for li in lis:
            print(li.text)
        
except Exception as e:
    print(e)
finally:
    time.sleep(2)
    d.close()
    d.quit()

WebDriverWait과 EC.presence_of_element을 사용하여 time.sleep()를 없애고, 대기시간을 최소화 시켜보려 했으나, ‘Message: stale element reference: stale element not found’ 에러 발생

해결: BeautifulSoup의 select, Selenium의 find_elements처럼 EX.presence_of_all_elements` 를 쓰면 된다

멜론차트 100

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from fake_useragent import UserAgent
import pymysql
from openpyxl import Workbook
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import requests
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# db 연결
db = pymysql.connect(host="localhost", port=3306, user="root", password="{비밀번호}", db="sba")
cursor = db.cursor()

# Excel 연결
wb = Workbook()
ws = wb.active

# webdriver 접속
release = 'https://chromedriver.storage.googleapis.com/LATEST_RELEASE'
version = requests.get(release).text
service = Service(ChromeDriverManager(version=version).install())
driver = webdriver.Chrome(service=service)

try:
    
    url = f"https://www.melon.com/chart/index.htm"
    driver.get(url)
    tbody = driver.find_elements(By.CSS_SELECTOR, "#frm > div > table > tbody > tr")

    for tr in tbody:
        rank = int(tr.find_element(By.CSS_SELECTOR, "span.rank").text.replace("'", '"'))
        title = tr.find_element(By.CSS_SELECTOR, "div.rank01 > span > a").text.replace("'", '"')
        singer = tr.find_element(By.CSS_SELECTOR, "div.ellipsis.rank02 > a").text.replace("'", '"')
        album = tr.find_element(By.CSS_SELECTOR, "div.rank03 > a").text.replace("'", '"')
        like = int(tr.find_element(By.CSS_SELECTOR, "button > span.cnt").text.replace(",", '').strip())
        
        diff = "new"
        try: 
            tr.find_element(By.CSS_SELECTOR, "span.rank_wrap > span.none")
            diff = "-"
        except: pass
        try:
            tr.find_element(By.CSS_SELECTOR, "span.rank_wrap > span.down")
            diff = "-"+tr.find_element(By.CSS_SELECTOR, "span.rank_wrap > span.down").text
        except: pass
        try:
            tr.find_element(By.CSS_SELECTOR, "span.rank_wrap > span.up")
            diff = "+"+tr.find_element(By.CSS_SELECTOR, "span.rank_wrap > span.up").text
        except: pass 
    
        sql = f"""
        INSERT INTO melon VALUES(NULL, '{rank}', '{title}', '{singer}', '{album}', '{like}', '{diff}', '00')
        """

        cursor.execute(sql)
        ws.append([rank, title, singer, album, like, diff, '00'])
        
except Exception as e:
    print(e)
finally:
    time.sleep(2)
    db.commit()
    db.close()
    
    driver.close()
    driver.quit()
    wb.save("melon.xlsx")

중고나라

  • iframe형태로 url이 직접 바뀌지 않고 검색내용을 동적으로 불러옴
  • switch_to.frame() 함수로 frame내부로 옮겨감
    • switch_to.default_content()로 원래로 돌아감
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from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import requests
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys

release = 'https://chromedriver.storage.googleapis.com/LATEST_RELEASE'
version = requests.get(release).text
service = Service(ChromeDriverManager(version=version).install())
d = webdriver.Chrome(service=service)
try:
    d.get("https://cafe.naver.com/joonggonara")
    elem = d.find_element(By.CSS_SELECTOR, "#topLayerQueryInput")
    elem.send_keys("자전거")
    elem.send_keys(Keys.RETURN)
    
    iframe = d.find_element(By.CSS_SELECTOR, "#cafe_main")
    d.switch_to.frame(iframe)
    
    article = d.find_element(By.CSS_SELECTOR, ".article")
    print(article.text)
except Exception as e:
    print(e)
finally:
    time.sleep(2)
    d.close()
    d.quit()

중고나라 여러개 검색해서 페이지 1~5 엑셀로 검색별 시트 만들어 넣기

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# 중고나라에서 자전거 검색하여 1~5페이지 제목, 작성자, 작성일 excel에 표시

from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import requests
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from openpyxl import Workbook
from selenium import webdriver

# 함수로 만들어 *args사용해 여러개 인자를 받음
def crawl(*args):
    # Excel 연결
    wb = Workbook()

    # webdriver 접속
    release = 'https://chromedriver.storage.googleapis.com/LATEST_RELEASE'
    version = requests.get(release).text
    service = Service(ChromeDriverManager(version=version).install())
    d = webdriver.Chrome(service=service)
    try:
        for arg in args:
            ws = wb.create_sheet(arg) # 새 시트 생성(바로 active됨)
            # ws.append([arg])
            ws.append(['title', 'writer', 'date'])
            
			# 중고라나 접속 후 키워드 입력
            d.get("https://cafe.naver.com/joonggonara")
            elem = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "#topLayerQueryInput")))
            elem.send_keys(arg)
            elem.send_keys(Keys.RETURN)

			# iframe으로 이동
            iframe = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "#cafe_main")))
            d.switch_to.frame(iframe)

			# 페이지 iterate
            for i in range(2, 6):
                trs = d.find_elements(By.CSS_SELECTOR, '#main-area > div:nth-child(5) > table > tbody > tr')

				# 제목, 작성자, 날짜 가져오기
                for tr in trs:
                    title = tr.find_element(By.CSS_SELECTOR, 'td.td_article > div.board-list > div > a').text
                    writer = tr.find_element(By.CSS_SELECTOR, 'td.td_name > div > table > tbody > tr > td > a').text
                    date = tr.find_element(By.CSS_SELECTOR, 'td.td_date').text
                    
                    # 엑셀에 값 추가
                    ws.append([title, writer, date])
                if i==6:
                    break
                # 페이지 이동
                page_area = WebDriverWait(d, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "#main-area > div.prev-next")))
                go_to_page = page_area.find_element(By.LINK_TEXT, f"{i}")
                go_to_page.click()

			# 검색을 하기 위해 원래 frame으로 이동
            d.switch_to.default_content()
    except Exception as e:
        print(e)
    finally:
	    # Webdriver 종료
        d.close()
        d.quit()
        # 엑셀 저장
        wb.save("joonggonara.xlsx")


# 여러 인자 넣어 실행
crawl("자전거", "노트북", "키보드", "모니터")
SeSAC, 파이썬 데이터 처리 프로그래밍
This post is licensed under CC BY 4.0 by the author.
Contents

[ADsP]1과목. 데이터의 이해

[자바의정석]2장. 변수