Ocado Scraper: Scalable Grocery Data Extraction and Market Intelligence

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-GB,en;q=0.9",
}

def scrape_ocado_product(url):
    response = requests.get(url, headers=HEADERS)
    
    if response.status_code != 200:
        print("Failed to fetch page:", response.status_code)
        return None

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

    product_data = {
        "Product_Name": soup.select_one("h1").get_text(strip=True) if soup.select_one("h1") else "N/A",
        "Price": soup.select_one("meta[itemprop='price']")["content"] if soup.select_one("meta[itemprop='price']") else "N/A",
        "Rating": soup.select_one("span[itemprop='ratingValue']").get_text(strip=True) if soup.select_one("span[itemprop='ratingValue']") else "N/A",
        "Availability": soup.select_one("link[itemprop='availability']")["href"].split("/")[-1] if soup.select_one("link[itemprop='availability']") else "N/A"
    }

    return product_data

# Example Ocado product URL
ocado_url = "https://www.ocado.com/products/sample-item"

result = scrape_ocado_product(ocado_url)

# Print extracted data
print(result)