Python Web Scraping program: Amazon.com Home Product Title and Price Scraping

 

Here is a small Python-based web scraping program where you scrape or extract the title and price of products that are found on the homepage of Amazon.com.

import requests
from bs4 import BeautifulSoup

url = "https://www.amazon.com/s?k=laptop"

response = requests.get(url)

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

products = soup.find_all("div", class_="s-result-item")

for product in products:
  title = product.find("a", class_="a-link-normal").text
  price = product.find("span", class_="a-price").text

  print(f"Title: {title}")
  print(f"Price: {price}")

This program first imports the requests and BeautifulSoup libraries. The requests library is used to make HTTP requests to the website, and the BeautifulSoup library is used to parse the HTML response.

The next step is to get the response from the website. This is done by calling the get() method on the requests object.

The response is then parsed using the BeautifulSoup object. The find_all() method is used to find all the elements with the class name s-result-item. These elements represent the individual products on the page.

For each product, the title and price are extracted and printed to the console.

 

This is just a simple example of web scraping in Python. There are many other things that can be done with web scraping, such as extracting more complex data, scraping multiple pages, and automating the scraping process.