Web Scraping and Data Extraction - E-commerce Price Tracker

 

Notes:

• Problem Solved: Tracks product prices across e-commerce sites (e.g., Amazon, Flipkart).

• Customization Benefits: Monitor competitors, automate pricing strategies, or trigger alerts.

• Further Adoption: Integrate with BI tools, pricing engines, or push notifications.

Python Code:

import requests

from bs4 import BeautifulSoup

def get_amazon_price(product_url, headers):

    response = requests.get(product_url, headers=headers)

    soup = BeautifulSoup(response.content, 'html.parser')

    title = soup.find(id="productTitle").get_text(strip=True)

    price = soup.find('span', {'class': 'a-offscreen'}).get_text(strip=True)

    return {'title': title, 'price': price}

# Example usage

headers = {'User-Agent': 'Mozilla/5.0'}

url = 'https://www.amazon.com/dp/B08N5WRWNW'  # Example product

print(get_amazon_price(url, headers))