Install Python and required libraries: Install Python 3.7.9 or newer. Use the terminal to install libraries: pip install requests beautifulsoup4 pandas playwright playwright install

Set up your project: Create a new directory for your project and navigate to it: mkdir amazon_scraper && cd amazon_scraper

Familiarize yourself with Amazon's HTML structure: Open Amazon in your browser and search for a product. Use Inspect Element (right-click on a product) to identify tags and attributes for product details like name, price, and ratings.

Write a Python script to scrape data: Create a file named amazon_scraper.py and include the following code: import asyncio from playwright.async_api import async_playwright import pandas as pd async def scrape_amazon(): async with async_playwright() as pw: browser = await pw.chromium.launch(headless=False) page = await browser.new_page() await page.goto('https://www.amazon.com/s?k=laptops') results = [] listings = await page.query_selector_all('div.a-section.a-spacing-small') for listing in listings: result = {} name_element = await listing.query_selector('h2.a-size-mini > a > span') result['product_name'] = await name_element.inner_text() if name_element else 'N/A' rating_element = await listing.query_selector('span[aria-label*="out of 5 stars"]') result['rating'] = await rating_element.inner_text() if rating_element else 'N/A' reviews_element = await listing.query_selector('span[aria-label*="stars"] + span > a > span') result['number_of_reviews'] = await reviews_element.inner_text() if reviews_element else 'N/A' price_element = await listing.query_selector('span.a-price > span.a-offscreen') result['price'] = await price_element.inner_text() if price_element else 'N/A' if any(value != 'N/A' for value in result.values()): results.append(result) await browser.close() return results results = asyncio.run(scrape_amazon()) df = pd.DataFrame(results) df.to_csv('amazon_products.csv', index=False)