Adidas Scraper: Accurate Sportswear Product and Competitive Market Intelligence

import requests
from bs4 import BeautifulSoup

REQUEST_HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
    "Accept-Language": "en-US,en;q=0.8",
}

def collect_adidas_details(product_page):
    page = requests.get(product_page, headers=REQUEST_HEADERS, timeout=15)

    if page.ok is False:
        return {"error": f"Request failed with status {page.status_code}"}

    document = BeautifulSoup(page.text, "html.parser")

    name = document.select_one("h1")
    price = document.select_one('[data-testid="price"]')
    availability = document.select_one('[data-testid="availability"]')
    description = document.select_one('[data-testid="product-description"]')

    return {
        "Product_Name": name.get_text(strip=True) if name else "Not Available",
        "Product_Price": price.get_text(" ", strip=True) if price else "Not Available",
        "Availability": availability.get_text(" ", strip=True) if availability else "Not Available",
        "Description": description.get_text(" ", strip=True) if description else "Not Available"
    }

# Example product page
adidas_page = "https://www.adidas.com/us/example-product"

product_record = collect_adidas_details(adidas_page)
print(product_record)