feat: Implement Walmart scraper and integrate with existing architecture
- Added Walmart scraper to scrape product data from Walmart.com, including category pages and product details. - Introduced a stealth browser module to handle bot protection and improve scraping reliability. - Created a SQLite database for tracking product history, price changes, stock events, and user favorites. - Developed a Discord bot for user interaction, allowing location setting and stock checking at local stores. - Implemented a favorites system to manage priority products and categories with custom notification settings. - Added news aggregation module to fetch and analyze Pokemon TCG news from various sources. - Created tools for API discovery and monitoring, including a backend monitor for detecting new products. - Added unit tests for database operations, product filtering, and API endpoints to ensure functionality. - Enhanced existing modules with improved error handling and logging for better maintainability.
This commit is contained in:
@@ -0,0 +1,505 @@
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"""
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Best Buy scraper - Uses undetected-chromedriver to bypass bot protection
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"""
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import re
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import json
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import logging
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import time
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import sys
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import os
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from typing import List, Optional
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from bs4 import BeautifulSoup
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from .base import BaseScraper, Product
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# Add parent directory to path for tools import
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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logger = logging.getLogger(__name__)
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class BestBuyScraper(BaseScraper):
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"""Scraper for BestBuy.com - Uses undetected-chromedriver"""
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site_name = "bestbuy"
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base_url = "https://www.bestbuy.com"
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def __init__(self):
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self._stealth_browser = None
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def _get_stealth_browser(self):
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"""Get or create stealth browser for Best Buy"""
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if self._stealth_browser is None:
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from tools.stealth_browser import StealthBrowser
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self._stealth_browser = StealthBrowser(headless=False, session_name="bestbuy")
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self._stealth_browser.start()
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return self._stealth_browser
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def scrape_category_page(self, url: str, max_pages: int = 1) -> List[Product]:
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"""
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Scrape a Best Buy search/category page for all products
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Uses undetected-chromedriver to bypass bot protection
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Args:
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url: Search/category page URL
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max_pages: Maximum number of pages to scrape (default 1)
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Returns:
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List of Product objects
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"""
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all_products = []
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# Add sort by newest if not already in URL
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if "sort=" not in url:
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separator = "&" if "?" in url else "?"
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url = f"{url}{separator}sp=-releasedate"
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# Use stealth browser
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try:
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browser = self._get_stealth_browser()
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except Exception as e:
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logger.error(f"Failed to start stealth browser: {e}")
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return all_products
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for page_num in range(1, max_pages + 1):
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products = []
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page_url = url if page_num == 1 else f"{url}&cp={page_num}"
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try:
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logger.info(f"Navigating to: {page_url}")
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browser.driver.get(page_url)
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time.sleep(8) # Wait longer for initial page load
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# Scroll for lazy loading - wait longer between scrolls
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browser.driver.execute_script("window.scrollTo(0, 500)")
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time.sleep(2)
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browser.driver.execute_script("window.scrollTo(0, 1500)")
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time.sleep(2)
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browser.driver.execute_script("window.scrollTo(0, 3000)")
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time.sleep(2)
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browser.driver.execute_script("window.scrollTo(0, 0)") # Scroll back to top
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time.sleep(3)
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# Wait for products to load (check for content)
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for _ in range(10):
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html = browser.driver.page_source
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if "sku-item" in html or "sku-title" in html or "priceView" in html:
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logger.info("Product content detected")
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break
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time.sleep(1)
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# Get HTML after waiting
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html = browser.driver.page_source
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# Save debug screenshot
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try:
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browser.driver.save_screenshot("debug_bestbuy.png")
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logger.info("Saved debug screenshot to debug_bestbuy.png")
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except:
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pass
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soup = BeautifulSoup(html, "html.parser")
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# Try to find product data in JSON scripts
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scripts = soup.find_all("script", type="application/json")
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for script in scripts:
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try:
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data = json.loads(script.string)
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products.extend(self._extract_products_from_json(data))
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except (json.JSONDecodeError, TypeError):
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continue
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# Try multiple selectors for product cards - Best Buy updates these frequently
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product_cards = (
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soup.select("li.sku-item")
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or soup.select("[data-sku-id]")
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or soup.select(".sku-item")
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or soup.select("[class*='sku-item']")
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or soup.select("div.shop-sku-list-item")
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or soup.select("[class*='productCard']")
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or soup.select("[class*='product-card']")
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or soup.select(".list-item")
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)
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logger.info(f"Found {len(product_cards)} product cards on page {page_num}")
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for card in product_cards:
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product = self._parse_product_card(card)
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if product:
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products.append(product)
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# Fallback: parse product links
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if not product_cards:
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product_links = soup.select("a[href*='/site/'][href*='.p']")
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logger.info(f"Fallback: Found {len(product_links)} product links")
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href_to_links = {}
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for link in product_links:
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href = link.get("href", "")
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if not href or ".p" not in href:
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continue
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if href not in href_to_links:
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href_to_links[href] = []
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href_to_links[href].append(link)
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for href, links in href_to_links.items():
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best_link = links[0]
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for link in links:
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if link.get("aria-label") or len(link.get_text(strip=True)) > 10:
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best_link = link
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break
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product = self._parse_product_link(best_link, soup)
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if product:
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products.append(product)
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# Also try parsing from data attributes and script tags
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if not products:
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products.extend(self._extract_from_page_data(soup, browser))
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# Don't close - reuse browser for next page
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except Exception as e:
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logger.error(f"Error scraping Best Buy page {page_num}: {e}")
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break # Don't raise - just return what we have
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all_products.extend(products)
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# Stop if no products found on this page (no more pages)
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if not products:
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break
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# Remove duplicates
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seen_urls = set()
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unique_products = []
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for p in all_products:
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if p.url not in seen_urls:
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seen_urls.add(p.url)
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unique_products.append(p)
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logger.info(f"Scraped {len(unique_products)} unique products from Best Buy")
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return unique_products
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def _extract_from_page_data(self, soup, browser) -> List[Product]:
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"""Extract products from page data attributes and evaluate JS if needed"""
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products = []
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# Try to get product data from data attributes
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items_with_data = soup.select("[data-testid][data-sku-id]")
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for item in items_with_data:
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sku_id = item.get("data-sku-id", "")
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if sku_id:
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# Find name and price within this element
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name_elem = item.select_one("h4") or item.select_one("[class*='title']") or item.select_one("a")
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name = name_elem.get_text(strip=True) if name_elem else ""
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if name and len(name) > 5:
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price_text = item.get_text()
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price_match = re.search(r"\$[\d,]+\.?\d*", price_text)
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price = price_match.group() if price_match else None
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products.append(Product(
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name=name,
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url=f"{self.base_url}/site/{sku_id}.p",
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price=price,
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in_stock=True,
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image_url=None,
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site=self.site_name,
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product_id=sku_id,
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))
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# Try to extract from window.__INITIAL_STATE__ or similar JS objects
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try:
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initial_state = browser.driver.execute_script("""
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if (window.__INITIAL_STATE__) return JSON.stringify(window.__INITIAL_STATE__);
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if (window.__NEXT_DATA__) return JSON.stringify(window.__NEXT_DATA__);
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return null;
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""")
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if initial_state:
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data = json.loads(initial_state)
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products.extend(self._extract_products_from_json(data))
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except Exception as e:
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logger.debug(f"Could not extract from JS state: {e}")
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return products
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def _extract_products_from_json(self, data, depth=0) -> List[Product]:
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"""Recursively search JSON for product data"""
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products = []
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if depth > 10:
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return products
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if isinstance(data, dict):
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# Check if this looks like a Best Buy product
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if "skuId" in data or ("name" in data and "regularPrice" in data):
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product = self._parse_product_json(data)
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if product:
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products.append(product)
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for value in data.values():
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products.extend(self._extract_products_from_json(value, depth + 1))
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elif isinstance(data, list):
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for item in data:
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products.extend(self._extract_products_from_json(item, depth + 1))
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return products
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def _parse_product_json(self, data: dict) -> Optional[Product]:
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"""Parse a product from Best Buy's JSON data"""
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try:
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name = data.get("name") or data.get("displayName", "")
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if not name:
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return None
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sku_id = data.get("skuId") or data.get("sku", "")
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url_slug = data.get("url") or ""
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if url_slug:
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url = url_slug if url_slug.startswith("http") else f"{self.base_url}{url_slug}"
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elif sku_id:
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url = f"{self.base_url}/site/{sku_id}.p"
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else:
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return None
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# Get price
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price = None
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if "regularPrice" in data:
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price = f"${data['regularPrice']:.2f}"
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elif "salePrice" in data:
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price = f"${data['salePrice']:.2f}"
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# Check availability
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in_stock = True
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availability = data.get("availability", {})
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if isinstance(availability, dict):
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in_stock = availability.get("isAvailable", True)
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elif data.get("orderable") is False:
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in_stock = False
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# Get image
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image_url = data.get("image") or data.get("thumbnailImage")
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return Product(
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name=name,
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url=url,
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price=price,
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in_stock=in_stock,
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image_url=image_url,
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site=self.site_name,
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product_id=str(sku_id),
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)
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except Exception as e:
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logger.debug(f"Error parsing Best Buy product JSON: {e}")
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return None
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def _parse_product_card(self, card) -> Optional[Product]:
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"""Parse a product card element"""
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try:
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# Find link
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link = card.select_one("a[href*='/site/'][href*='.p']") or card.select_one("a.image-link")
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if not link:
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link = card.select_one("a")
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if not link:
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return None
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href = link.get("href", "")
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if not href:
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return None
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url = href if href.startswith("http") else f"{self.base_url}{href}"
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# Get name
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name_elem = (
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card.select_one(".sku-title a")
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or card.select_one("h4.sku-header a")
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or card.select_one("[data-testid='product-title']")
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or card.select_one(".sku-title")
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or link
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)
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name = name_elem.get_text(strip=True) if name_elem else "Unknown"
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# Skip if name too short
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if len(name) < 5:
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return None
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# Get price
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price_elem = (
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card.select_one(".priceView-customer-price span")
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or card.select_one("[data-testid='customer-price']")
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or card.select_one(".pricing-price__regular-price")
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or card.select_one("[class*='price']")
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)
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price = None
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if price_elem:
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price_match = re.search(r"\$[\d,]+\.?\d*", price_elem.get_text())
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if price_match:
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price = price_match.group()
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# Check stock
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in_stock = self._check_card_stock_status(card)
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# Get image
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img = card.select_one("img")
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image_url = None
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if img:
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image_url = img.get("src") or img.get("data-src")
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if image_url and not image_url.startswith("http"):
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image_url = f"https:{image_url}" if image_url.startswith("//") else f"{self.base_url}{image_url}"
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# Extract SKU ID from URL
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product_id = ""
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match = re.search(r"/(\d+)\.p", url)
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if match:
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product_id = match.group(1)
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return Product(
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name=name,
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url=url,
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price=price,
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in_stock=in_stock,
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image_url=image_url,
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site=self.site_name,
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product_id=product_id,
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)
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except Exception as e:
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logger.debug(f"Error parsing Best Buy product card: {e}")
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return None
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def _parse_product_link(self, link, soup) -> Optional[Product]:
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"""Parse a product from a product link element"""
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try:
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href = link.get("href", "")
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if not href:
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return None
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url = href if href.startswith("http") else f"{self.base_url}{href}"
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name = link.get("aria-label", "") or link.get_text(strip=True)
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if not name or len(name) < 5:
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return None
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# Extract SKU ID
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product_id = ""
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match = re.search(r"/(\d+)\.p", url)
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if match:
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product_id = match.group(1)
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# Find price near link
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parent = link.find_parent()
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price = None
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for _ in range(5):
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if parent:
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price_text = parent.get_text()
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price_match = re.search(r"\$[\d,]+\.?\d*", price_text)
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if price_match:
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price = price_match.group()
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break
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parent = parent.find_parent()
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# Find image
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image_url = None
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parent = link.find_parent()
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for _ in range(5):
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if parent:
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img = parent.select_one("img")
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if img:
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image_url = img.get("src") or img.get("data-src")
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break
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parent = parent.find_parent()
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# Check stock
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in_stock = True
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parent = link.find_parent()
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for _ in range(5):
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if parent:
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text = parent.get_text().lower()
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if any(phrase in text for phrase in ["sold out", "out of stock", "unavailable"]):
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in_stock = False
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break
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parent = parent.find_parent()
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return Product(
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name=name,
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url=url,
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price=price,
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in_stock=in_stock,
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image_url=image_url,
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site=self.site_name,
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product_id=product_id,
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)
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except Exception as e:
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logger.debug(f"Error parsing Best Buy product link: {e}")
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return None
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def _check_card_stock_status(self, card) -> bool:
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"""Check if a product card indicates in-stock status"""
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card_text = card.get_text().lower() if hasattr(card, "get_text") else str(card).lower()
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# Check for disabled add to cart button
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add_btn = card.select_one(".add-to-cart-button")
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if add_btn and "btn-disabled" in add_btn.get("class", []):
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return False
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out_of_stock_phrases = [
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"sold out",
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"out of stock",
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"unavailable",
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"coming soon",
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"not available",
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]
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||||
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for phrase in out_of_stock_phrases:
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if phrase in card_text:
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return False
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||||
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in_stock_phrases = [
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"add to cart",
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"add to bag",
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"available",
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"in stock",
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]
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for phrase in in_stock_phrases:
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if phrase in card_text:
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return True
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return True
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||||
def check_product_stock(self, product_url: str) -> tuple[bool, Optional[str]]:
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||||
"""Check if a specific product is in stock"""
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||||
try:
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||||
browser = self._get_stealth_browser()
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||||
browser.driver.get(product_url)
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||||
time.sleep(3)
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||||
html = browser.driver.page_source
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||||
soup = BeautifulSoup(html, "html.parser")
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page_text = soup.get_text().lower()
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||||
|
||||
out_of_stock = any(
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||||
phrase in page_text
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||||
for phrase in ["sold out", "out of stock", "unavailable", "coming soon"]
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||||
)
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||||
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||||
in_stock = not out_of_stock
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||||
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||||
# Get price
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||||
price = None
|
||||
price_elem = (
|
||||
soup.select_one(".priceView-customer-price span")
|
||||
or soup.select_one("[data-testid='customer-price']")
|
||||
)
|
||||
if price_elem:
|
||||
price_match = re.search(r"\$[\d,]+\.?\d*", price_elem.get_text())
|
||||
if price_match:
|
||||
price = price_match.group()
|
||||
|
||||
return in_stock, price
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error checking Best Buy product stock: {e}")
|
||||
return False, None
|
||||
Reference in New Issue
Block a user