정기적인 데이터 수집을 위한 자동화 작업

import schedule
import time
import requests

def fetch_weather(city):
    api_key = "YOUR_API_KEY"  # 자신의 OpenWeather API 키로 교체하세요
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"

    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        temperature = data["main"]["temp"]
        weather_description = data["weather"][0]["description"]
        print(f"{city}의 현재 온도: {temperature}°C")
        print(f"날씨 설명: {weather_description}")
    except requests.exceptions.RequestException as e:
        print(f"날씨 데이터를 가져오는 중 오류 발생: {e}")

def fetch_weather_of_london():
    fetch_weather("London")

# 매 30분마다 작업 실행 설정
schedule.every(30).minutes.do(fetch_weather_of_london)

while True:
    schedule.run_pending()
    time.sleep(1)

import schedule
import time
import requests

def fetch_exchange_rate():
    url = "https://api.exchangerate-api.com/v4/latest/USD"
    try:
        response = requests.get(url)
        response.raise_for_status()  # 요청 성공 여부 확인
        data = response.json()
        usd_to_eur = data["rates"]["EUR"]
        print(f"USD에서 EUR로의 현재 환율: {usd_to_eur}")
    except requests.exceptions.RequestException as e:
        print(f"데이터를 가져오는 중 오류 발생: {e}")

# 매 10분마다 작업 실행 설정
schedule.every(10).minutes.do(fetch_exchange_rate)

while True:
    schedule.run_pending()
    time.sleep(1)

import requests
from bs4 import BeautifulSoup

def fetch_news():
    response = requests.get("http://example.com/news")
    soup = BeautifulSoup(response.content, 'html.parser')
    for headline in soup.find_all('h2', class_='news'):
        print(headline.text)

schedule.every().hour.do(fetch_news)

while True:
    schedule.run_pending()
    time.sleep(1)

import requests
from bs4 import BeautifulSoup

def fetch_news_headlines():
    url = "https://www.bbc.com/news"
    try:
        response = requests.get(url)
        response.raise_for_status()
        soup = BeautifulSoup(response.text, 'html.parser')
        
        headlines = soup.find_all('h3')  # 모든 <h3> 태그 찾기 (보통 뉴스 헤드라인이 위치함)
        print("BBC의 최신 뉴스 헤드라인:")
        for headline in headlines[:5]:  # 첫 5개 헤드라인만 가져오기
            print("-", headline.get_text(strip=True))
    except requests.exceptions.RequestException as e:
        print(f"데이터를 가져오는 중 오류 발생: {e}")

fetch_news_headlines()

import requests
from bs4 import BeautifulSoup

def fetch_product_price(url):
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.82 Safari/537.36"
    }
    try:
        response = requests.get(url, headers=headers)
        response.raise_for_status()
        
        soup = BeautifulSoup(response.text, 'html.parser')
        product_name = soup.find('span', {'id': 'productTitle'}).get_text(strip=True)
        price = soup.find('span', {'class': 'a-price-whole'}).get_text(strip=True)
        
        print(f"상품: {product_name}")
        print(f"가격: {price} 원")
    except requests.exceptions.RequestException as e:
        print(f"데이터를 가져오는 중 오류 발생: {e}")
    except AttributeError:
        print("상품 또는 가격 정보를 찾을 수 없음")

# 상품 링크 예제
fetch_product_price("https://www.amazon.com/dp/B08N5WRWNW")