mmcghen
8d382e723f
- 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.
363 lines
13 KiB
Python
363 lines
13 KiB
Python
"""
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Target.com scraper
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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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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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from src.browser import get_browser
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logger = logging.getLogger(__name__)
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class TargetScraper(BaseScraper):
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"""Scraper for Target.com"""
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site_name = "target"
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base_url = "https://www.target.com"
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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 Target search/category page for all products
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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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browser = get_browser()
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all_products = []
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# Add sort by newest if not already in URL
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if "sortBy=" not in url:
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separator = "&" if "?" in url else "?"
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url = f"{url}{separator}sortBy=newest"
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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}&Nao={24 * (page_num - 1)}"
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try:
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page, html = browser.get_page_content(
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page_url,
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wait_for_selector=None,
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timeout=60000,
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)
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# Save debug screenshot
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try:
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page.screenshot(path="debug_target.png")
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logger.info("Saved debug screenshot to debug_target.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 page scripts (Target uses React/hydration)
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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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# Look for product data in the JSON
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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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# Parse product links from the page
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product_links = soup.select("a[href*='/p/']")
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logger.info(f"Found {len(product_links)} product links")
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# Group links by href and pick the best one (with aria-label or text)
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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:
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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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logger.info(f"Found {len(href_to_links)} unique hrefs")
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for href, links in href_to_links.items():
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# Find the best link (one with aria-label or text content)
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best_link = None
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for link in links:
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aria = link.get("aria-label", "")
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text = link.get_text(strip=True)
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if aria or (text and len(text) > 10):
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best_link = link
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break
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if not best_link:
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best_link = links[0] # Fallback to first link
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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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page.close()
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except Exception as e:
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logger.error(f"Error scraping Target page {page_num}: {e}")
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if page_num == 1:
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raise
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break
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all_products.extend(products)
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# Stop if no products found on this page
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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 Target")
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return unique_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: # Prevent infinite recursion
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return products
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if isinstance(data, dict):
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# Check if this looks like a product
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if "tcin" in data or ("title" in data and "price" 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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# Recurse into nested objects
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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 Target's JSON data"""
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try:
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name = data.get("title") or data.get("product_description", {}).get("title", "")
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if not name:
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return None
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# Build URL
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tcin = data.get("tcin", "")
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slug = data.get("url_slug", name.lower().replace(" ", "-"))
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url = f"{self.base_url}/p/{slug}/-/A-{tcin}" if tcin else ""
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if not url:
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return None
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# Get price
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price_data = data.get("price", {})
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price = None
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if isinstance(price_data, dict):
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price = price_data.get("formatted_current_price") or price_data.get("current_retail")
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elif isinstance(price_data, (int, float)):
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price = f"${price_data:.2f}"
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# Check availability
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availability = data.get("availability_status", "")
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fulfillment = data.get("fulfillment", {})
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in_stock = availability not in ["OUT_OF_STOCK", "UNAVAILABLE"]
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if fulfillment:
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in_stock = fulfillment.get("is_out_of_stock_in_all_store_locations", True) is False
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# Get image
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images = data.get("images", [])
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image_url = images[0].get("base_url") if images else None
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return Product(
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name=name,
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url=url,
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price=str(price) if price else None,
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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=tcin,
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)
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except Exception as e:
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logger.debug(f"Error parsing Target product JSON: {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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# Get name - prefer aria-label as it's usually clean
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name = link.get("aria-label", "")
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# If no aria-label, try link text
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if not name or len(name) < 5:
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name = link.get_text(strip=True)
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# Clean up the name
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if name:
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# Remove rating text patterns
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name = re.sub(r'\d+\.?\d*\s*out of \d+ stars.*$', '', name, flags=re.IGNORECASE)
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name = re.sub(r'\s*\d+ ratings?.*$', '', name, flags=re.IGNORECASE)
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name = re.sub(r'\s*\d+ reviews?.*$', '', name, flags=re.IGNORECASE)
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name = name.strip()
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# Skip empty/short names
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if not name or len(name) < 10:
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return None
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# Skip if name looks like navigation/rating text only
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lower_name = name.lower()
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if any(lower_name.startswith(skip) for skip in ['rating', 'stars', 'review', 'filter', 'sort']):
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return None
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# Extract product ID from URL (A-12345678)
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product_id = ""
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match = re.search(r"/A-(\d+)", url)
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if match:
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product_id = match.group(1)
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# Try to find price near this link
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parent = link.find_parent()
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price = None
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for _ in range(5): # Go up 5 levels max
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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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# Try to find image
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image_url = None
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img = link.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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# Check stock (assume in stock unless we see otherwise)
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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 "out of stock" in text or "unavailable" in text:
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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 Target product link: {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*='/p/']")
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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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url = href if href.startswith("http") else f"{self.base_url}{href}"
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# Get name
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name_elem = card.select_one("[data-test='product-title']") or card.select_one("a")
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name = name_elem.get_text(strip=True) if name_elem else "Unknown"
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# Get price
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price_elem = card.select_one("[data-test='current-price']") or card.select_one("[class*='price']")
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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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card_text = card.get_text().lower()
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out_of_stock = "out of stock" in card_text or "unavailable" in card_text
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in_stock = not out_of_stock
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# Get image
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img = card.select_one("img")
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image_url = img.get("src") if img else None
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# Extract product ID from URL
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product_id = ""
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match = re.search(r"/A-(\d+)", 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 Target product card: {e}")
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return None
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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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browser = get_browser()
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try:
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page, html = browser.get_page_content(product_url, timeout=30000)
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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 ["out of stock", "unavailable", "not available"]
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)
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in_stock = not out_of_stock
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# Get price
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price = None
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price_elem = soup.select_one("[data-test='product-price']")
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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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page.close()
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return in_stock, price
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except Exception as e:
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logger.error(f"Error checking Target product stock: {e}")
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return False, None
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