Price tracker working, only for best buy

Python_Scripts/PriceTracker/PriceTracker.py

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+import requests
+from bs4 import BeautifulSoup
+from pony import orm
+from datetime import datetime
+
+db = orm.Database()
+# Create sqlite database if it doesn't exist
+db.bind(provider='sqlite', filename='products.db',create_db=True)
+
+class Product(db.Entity):
+    name = orm.Required(str)
+    price = orm.Required(float)
+    created_data = orm.Required(datetime)
+
+# Create the tables within the database
+db.generate_mapping(create_tables=True)
+
+def BestBuy(session):
+    url = "https://www.bestbuy.com/site/chromecast-with-google-tv-4k-snow/6425976.p?skuId=6425976"
+    response = session.get(url)
+    soup = BeautifulSoup(response.text, "html.parser")
+    data = (
+        "BestBuy", 
+        float(soup.select_one("div.row.p-none.m-none div.priceView-hero-price.priceView-customer-price").text.replace("Your price for this item is $49.99", "").removeprefix("$")),
+    )
+    return data
+
+
+def main():
+    session = requests.Session()
+    session.headers.update({ 
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36'
+    })
+
+    print(BestBuy(session))
+
+main()

Python_Scripts/PriceTracker/PriceTracker2.py

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+import smtplib
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+from price_parser import Price
+
+PRODUCT_URL_CSV = "products.csv"
+SAVE_TO_CSV = True
+PRICES_CSV = "prices.csv"
+SEND_MAIL = True
+
+def Get_URLs(csv_file):
+    df = pd.read_csv(csv_file)
+    return df
+
+
+def Process_Products(df):
+    for product in df.to_dict("records"): # product["url"] is the URL
+        pass
+
+
+def Get_Response(url):
+    response = requests.get(url)
+    return response.text
+
+
+def Get_Price(html):
+    soup = BeautifulSoup(html, "lmxl")
+    el = soup.select_one(".price_color")
+    price = price.fromstring(el.text)
+    return price.amount_float
+
+# Overload the function
+def Process_Products(df):
+    updated_products = []
+    for product in df.to_dict("records"):
+        html = Get_Response(product["url"])
+        product["price"] = Get_Price(html)
+        product["alert"] = product["price"] < product["alert_price"]
+        updated_products.append((product))
+    return pd.DataFrame(updated_products)
+
+
+def Get_Mail(df):
+    subject = "Price Drop Alert"
+    body = df[df["alert"]].to_string()
+    subject_and_message = f'Subject:{subject}\n\n{body}'
+    return subject_and_message
+
+
+def Send_Mail(df):
+    message_text = get_mail(df)
+    with smtplib.SMTP("smtp.server.address", 587) as smtp:
+        smtp.starttls()
+        smtp.login(mail_user, mail_to, message_text)
+
+
+def main():
+    df = Get_URLs(PRODUCT_URL_CSV)
+    df_updated = Process_Products(df)
+    if SAVE_TO_CSV:
+        df_updated.to_csv(PRICES_CSV, index=False, mode = "a")
+    if SEND_MAIL:
+        Send_Mail(df_updated)

Python_Scripts/PriceTracker/products.csv

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+url,alert_price
+https://store.google.com/us/config/chromecast_google_tv?hl=en-US&selections=eyJwcm9kdWN0RmFtaWx5IjoiWTJoeWIyMWxZMkZ6ZEY5bmIyOW5iR1ZmZEhZPSIsImhlcm9Qcm9kdWN0cyI6W1siY0hKa1h6YzRNekpmTXprMU1nPT0iLDEsbnVsbF1dfQ%3D%3D,40