Rappi Scraper: FMCG Product, Menu, and Real-Time Market Intelligence

import requests
from bs4 import BeautifulSoup

# Define request headers for realistic browser simulation
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_rappi_product(url):
    """
    Scrapes product, pricing, rating, and stock data from a Rappi product page.
    """
    try:
        response = requests.get(url, headers=HEADERS)
        response.raise_for_status()
    except requests.RequestException:
        return None

    soup = BeautifulSoup(response.text, "lxml")

    # Extract product details with graceful fallback
    product_data = {
        "Product_Name": soup.find("h1", class_="product-name").get_text(strip=True)
                        if soup.find("h1", class_="product-name") else "N/A",
        "Current_Price": soup.find("span", class_="price-amount").get_text(strip=True)
                        if soup.find("span", class_="price-amount") else "N/A",
        "Customer_Rating": soup.find("div", class_="rating-value").get_text(strip=True)
                        if soup.find("div", class_="rating-value") else "N/A",
        "Stock_Status": soup.find("div", class_="stock-status").get_text(strip=True)
                        if soup.find("div", class_="stock-status") else "N/A"
    }
    return product_data

# Example Rappi product URL
rappi_product_url = "https://www.rappi.com/product/example"
data = scrape_rappi_product(rappi_product_url)
print(data)