How to Create a Python Amazon Price Tracker?

Creating a Python Amazon price tracker involves the following steps:

1. Choose a web scraping library: There are several Python libraries available for web scraping, such as BeautifulSoup, Scrapy, and Selenium. Choose a library that suits your needs and level of expertise.
2. Identify the target Amazon product: Identify the Amazon product that you want to track and the URL of the product page.
3. Inspect the product page: Inspect the HTML code of the product page using your browser’s developer tools to identify the location of the price data that you want to extract. You can use the inspector tool to select the HTML element and view its properties, such as the class, ID, or tag name.
4. Write the scraper code: Write the Python code to extract the price data from the Amazon product page using the chosen library. This typically involves creating a script that sends HTTP requests to the website, parses the HTML response, and extracts the relevant data using selectors.
5. Compare the prices: Compare the current price of the product with the desired price threshold, and send an alert if the price drops below the threshold. You can use Python libraries such as smtplib to send email alerts.
6. Continuously run the script: Continuously run the script to track the price changes over time. You can use a scheduler such as the schedule library to run the script at regular intervals.

Here’s an example using the BeautifulSoup library:

import requests
from bs4 import BeautifulSoup

url = "https://www.amazon.com/dp/B07N4M4MH7/"

def get_price():
    response = requests.get(url)
    soup = BeautifulSoup(response.content, "html.parser")
    price = soup.find("span", {"class": "a-price-whole"}).text.strip()
    return float(price.replace(",", ""))

current_price = get_price()
desired_price = 1000

if current_price < desired_price:
    # Send email alert

This code sends an HTTP request to the Amazon product page and uses BeautifulSoup to parse the HTML response. It then extracts the current price of the product using a selector and converts it to a float. The current price is compared to a desired price threshold, and an email alert is sent if the current price drops below the threshold.

You can customize the scraper by modifying the selector or adding new features based on your specific needs. You can also use a scheduler such as schedule to run the script at regular intervals and continuously track the price changes over time.