定期的なデータ収集のための時間ベース自動化

import schedule
import time
import requests

def fetch_weather(city):
    api_key = "YOUR_API_KEY"  # OpenWeatherのAPIキーをここに入力
    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}の現在の気温: {temperature}°C")
        print(f"天気の説明: {weather_description}")
    except requests.exceptions.RequestException as e:
        print(f"天気データの取得中にエラーが発生しました: {e}")

def fetch_weather_of_london():
    fetch_weather("London")

# 30分ごとにタスクを実行する設定
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()  # リクエストが成功したかどうか確認
        data = response.json()
        usd_to_eur = data["rates"]["EUR"]
        print(f"現在のUSDからEURへの為替レート: {usd_to_eur}")
    except requests.exceptions.RequestException as e:
        print(f"データ取得中にエラーが発生しました: {e}")

# 10分ごとにタスクを実行する設定
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')  # 全ての<h3>タグを検索（通常、見出しがある場所）
        print("BBCの最新ニュース見出し:")
        for headline in headlines[:5]:  # 最初の5つの見出しを取る
            print("-", headline.get_text(strip=True))
    except requests.exceptions.RequestException as e:
        print(f"データ取得中にエラーが発生しました: {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"商品名: {product_name}")
        print(f"価格: {price}円")
    except requests.exceptions.RequestException as e:
        print(f"データ取得中にエラーが発生しました: {e}")
    except AttributeError:
        print("商品情報または価格を見つけることができませんでした")

# サンプル商品のリンク
fetch_product_price("https://www.amazon.com/dp/B08N5WRWNW")