Flipkart Scraper: Advanced eCommerce Product Data and Pricing Intelligence Solution

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-IN,en;q=0.8"
}

def fetch_flipkart_product_data(product_url):
    try:
        response = requests.get(product_url, headers=HEADERS, timeout=10)
        
        if response.status_code != 200:
            return {"error": "Failed to retrieve page"}

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

        # Extracting product details (class names may vary on Flipkart)
        title = soup.select_one("span.B_NuCI")
        price = soup.select_one("div._30jeq3._16Jk6d")
        rating = soup.select_one("div._3LWZlK")
        availability = soup.select_one("div._16FRp0")

        product_info = {
            "Product_Name": title.get_text(strip=True) if title else "Not Available",
            "Current_Price": price.get_text(strip=True) if price else "Not Available",
            "User_Rating": rating.get_text(strip=True) if rating else "Not Available",
            "Stock_Status": availability.get_text(strip=True) if availability else "Not Available"
        }

        return product_info

    except Exception as e:
        return {"error": str(e)}

# Example Flipkart product URL
flipkart_url = "https://www.flipkart.com/sample-product/p/itm123456"

data = fetch_flipkart_product_data(flipkart_url)
print(data)