mirror of
https://github.com/R0m1k3/Priceflow.git
synced 2026-10-11 17:29:14 +02:00
- New amazon_scraper_service.py with persistent browser connection - Shared browser instance across requests (better session management) - Auto-reconnect if browser connection drops - Better stealth mode (webdriver undefined, chrome runtime) - Proper cookie/popup handling for Amazon - Uses Playwright via Browserless (not Crawl4AI) - Should fix 503 errors with persistent session Based on user's ScraperService pattern for reliability
420 lines
14 KiB
Python
420 lines
14 KiB
Python
"""
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Amazon Scraper Service - Using persistent browser connection
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Based on ScraperService pattern for better session management and anti-detection
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"""
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import asyncio
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import logging
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import os
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import re
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from dataclasses import dataclass
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from datetime import datetime
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from urllib.parse import quote_plus
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from bs4 import BeautifulSoup
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from playwright.async_api import Browser, BrowserContext, Page, async_playwright
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from playwright.async_api import TimeoutError as PlaywrightTimeoutError
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from pydantic import BaseModel, Field
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logger = logging.getLogger(__name__)
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BROWSERLESS_URL = os.getenv("BROWSERLESS_URL", "ws://browserless:3000")
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# Amazon configuration
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AMAZON_FR_BASE_URL = "https://www.amazon.fr"
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AMAZON_FR_SEARCH_URL = "https://www.amazon.fr/s?k={query}"
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# Cookie/popup selectors for Amazon
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AMAZON_POPUP_SELECTORS = [
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"#sp-cc-accept", # Cookie banner
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"#sp-cc-rejectall-link",
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"button[data-action='a-popover-close']",
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"[data-action='sp-cc-accept']",
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"input[aria-labelledby='sp-cc-accept-label']",
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]
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# ============================================================================
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# PYDANTIC SCHEMAS
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# ============================================================================
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class AmazonProduct(BaseModel):
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"""Schema for Amazon product extraction"""
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title: str = Field(description="Product title")
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url: str = Field(description="Product URL")
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price: float | None = Field(default=None, description="Price in EUR")
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original_price: float | None = Field(default=None, description="Original price if discounted")
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rating: float | None = Field(default=None, description="Product rating (0-5)")
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reviews_count: int | None = Field(default=None, description="Number of reviews")
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image_url: str | None = Field(default=None, description="Product image URL")
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in_stock: bool = Field(default=True, description="Availability status")
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prime: bool = Field(default=False, description="Prime eligible")
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sponsored: bool = Field(default=False, description="Is sponsored")
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# ============================================================================
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# PARSING HELPERS
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# ============================================================================
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def parse_amazon_price(price_text: str) -> float | None:
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"""Parse Amazon price formats"""
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if not price_text:
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return None
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cleaned = price_text.strip().replace('€', '').replace('EUR', '').strip()
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cleaned = cleaned.replace(' ', '').replace('\xa0', '')
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cleaned = cleaned.replace(',', '.')
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match = re.search(r'(\d+\.?\d*)', cleaned)
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if match:
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try:
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return float(match.group(1))
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except ValueError:
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return None
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return None
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def parse_rating(rating_text: str) -> float | None:
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"""Parse rating"""
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if not rating_text:
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return None
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match = re.search(r'(\d+[,.]\d+)', rating_text)
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if match:
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try:
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return float(match.group(1).replace(',', '.'))
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except ValueError:
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return None
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return None
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def parse_reviews_count(reviews_text: str) -> int | None:
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"""Parse review count"""
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if not reviews_text:
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return None
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cleaned = re.sub(r'[^\d\s]', '', reviews_text)
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cleaned = cleaned.replace(' ', '').replace('\xa0', '')
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try:
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return int(cleaned)
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except ValueError:
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return None
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# ============================================================================
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# AMAZON SCRAPER SERVICE
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# ============================================================================
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class AmazonScraperService:
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"""Persistent browser service for Amazon scraping"""
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_playwright = None
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_browser: Browser | None = None
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_lock = asyncio.Lock()
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@classmethod
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async def initialize(cls):
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"""Initialize shared browser (Thread-Safe)"""
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async with cls._lock:
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await cls._initialize()
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@classmethod
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async def _initialize(cls):
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"""Internal initialization"""
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if cls._browser is None:
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logger.info("Initializing AmazonScraperService shared browser...")
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cls._playwright = await async_playwright().start()
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cls._browser = await cls._connect_browser(cls._playwright)
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logger.info("AmazonScraperService initialized.")
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@classmethod
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async def shutdown(cls):
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"""Shutdown shared browser"""
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async with cls._lock:
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if cls._browser:
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logger.info("Shutting down AmazonScraperService...")
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await cls._browser.close()
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cls._browser = None
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if cls._playwright:
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await cls._playwright.stop()
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cls._playwright = None
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logger.info("AmazonScraperService shutdown complete.")
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@classmethod
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async def _ensure_browser_connected(cls) -> bool:
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"""Ensure browser is connected, reconnect if needed"""
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async with cls._lock:
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try:
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if cls._browser is None:
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logger.warning("Browser not initialized, initializing...")
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await cls._initialize()
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return cls._browser is not None
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# Test connection
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try:
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test_context = await cls._browser.new_context()
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await test_context.close()
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return True
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except Exception as e:
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logger.error(f"Browser connection test failed: {e}")
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logger.info("Attempting to reconnect...")
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cls._browser = None
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if cls._playwright:
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try:
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await cls._playwright.stop()
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except Exception:
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pass
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cls._playwright = None
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await cls._initialize()
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return cls._browser is not None
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except Exception as e:
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logger.error(f"Failed to ensure browser connection: {e}")
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return False
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@staticmethod
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async def _connect_browser(p) -> Browser:
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"""Connect to Browserless"""
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logger.info(f"Connecting to Browserless at {BROWSERLESS_URL}")
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return await p.chromium.connect_over_cdp(BROWSERLESS_URL)
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@staticmethod
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async def _create_context(browser: Browser) -> BrowserContext:
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"""Create browser context with stealth settings"""
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context = await browser.new_context(
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viewport={"width": 1920, "height": 1080},
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user_agent=(
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/131.0.0.0 Safari/537.36"
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),
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locale="fr-FR",
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timezone_id="Europe/Paris",
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)
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# Stealth mode
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await context.add_init_script("""
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Object.defineProperty(navigator, 'webdriver', { get: () => undefined });
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window.chrome = { runtime: {} };
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""")
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await context.route("**/*", lambda route: route.continue_())
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return context
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@staticmethod
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async def _handle_popups(page: Page):
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"""Close Amazon popups/cookies"""
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logger.info("Handling Amazon popups...")
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for selector in AMAZON_POPUP_SELECTORS:
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try:
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if await page.locator(selector).count() > 0:
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logger.info(f"Found popup: {selector}")
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await page.locator(selector).first.click(timeout=2000)
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await page.wait_for_timeout(1000)
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except Exception:
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pass
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try:
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await page.keyboard.press("Escape")
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except Exception:
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pass
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@classmethod
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async def scrape_search(cls, query: str, max_results: int = 20) -> list[AmazonProduct]:
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"""
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Scrape Amazon France search results
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Args:
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query: Search query
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max_results: Maximum products to return
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Returns:
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List of AmazonProduct objects
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"""
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search_url = AMAZON_FR_SEARCH_URL.format(query=quote_plus(query))
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logger.info(f"🔍 Searching Amazon France: {query}")
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logger.info(f"📍 URL: {search_url}")
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# Ensure browser is connected
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if not await cls._ensure_browser_connected():
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logger.error("Failed to establish browser connection")
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return []
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products = []
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try:
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context = await cls._create_context(cls._browser)
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page = await context.new_page()
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try:
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# Navigate
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logger.info(f"Navigating to {search_url}")
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await page.goto(search_url, wait_until="domcontentloaded", timeout=60000)
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logger.info("Page loaded (domcontentloaded)")
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# Wait for network idle
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try:
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await page.wait_for_load_state("networkidle", timeout=10000)
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logger.info("Network idle reached")
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except PlaywrightTimeoutError:
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logger.info("Network idle timed out (non-critical)")
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# Handle popups
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await cls._handle_popups(page)
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# Wait a bit for content
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await page.wait_for_timeout(2000)
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# Get HTML
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html_content = await page.content()
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logger.info(f"✅ Page content extracted ({len(html_content)} bytes)")
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if len(html_content) < 10000:
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logger.error(f"❌ Page too small - likely blocked")
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return []
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# Parse with BeautifulSoup
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soup = BeautifulSoup(html_content, 'html.parser')
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# Find product cards
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product_cards = soup.find_all('div', {'data-component-type': 's-search-result'})
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if not product_cards:
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# Try alternative
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product_cards = soup.find_all('div', {'data-asin': True, 'data-index': True})
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if not product_cards:
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logger.warning("⚠️ No products found")
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# Check for blocks
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if '503' in html_content or 'robot' in html_content.lower():
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logger.error("🚫 Amazon blocked request")
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return []
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logger.info(f"📦 Found {len(product_cards)} product cards")
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# Extract products
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for idx, card in enumerate(product_cards):
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if len(products) >= max_results:
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break
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try:
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product = cls._extract_product(card, idx)
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if product:
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products.append(product)
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logger.debug(f" ✓ [{len(products)}] {product.title[:50]}... - {product.price}€")
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except Exception as e:
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logger.error(f"Error parsing card {idx}: {e}")
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continue
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logger.info(f"✅ Successfully extracted {len(products)} products")
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finally:
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await context.close()
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except Exception as e:
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logger.error(f"❌ Error during scraping: {e}", exc_info=True)
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return []
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return products
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@staticmethod
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def _extract_product(card, idx: int) -> AmazonProduct | None:
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"""Extract product data from card"""
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# ASIN
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asin = card.get('data-asin', '')
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if not asin:
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logger.debug(f" ⏭️ Card {idx}: No ASIN")
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return None
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# Sponsored
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sponsored = bool(card.select_one('[data-component-type="sp-sponsored-result"]'))
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# Title
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title = None
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for selector in ['h2 a span', 'h2 span', 'h2.s-line-clamp-2 span']:
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elem = card.select_one(selector)
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if elem:
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title = elem.get_text(strip=True)
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if title:
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break
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if not title:
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logger.debug(f" ⏭️ Card {idx}: No title")
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return None
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# URL
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link_elem = card.select_one('h2 a') or card.select_one('a.s-link-style')
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if not link_elem:
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logger.debug(f" ⏭️ Card {idx}: No link")
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return None
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href = link_elem.get('href', '')
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product_url = f"{AMAZON_FR_BASE_URL}{href}" if href.startswith('/') else href
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# Price
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price = None
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for selector in ['.a-price .a-offscreen', '.a-price-whole', 'span.a-price span.a-offscreen']:
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elem = card.select_one(selector)
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if elem:
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price = parse_amazon_price(elem.get_text(strip=True))
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if price:
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break
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# Original price
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original_price = None
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elem = card.select_one('.a-price.a-text-price .a-offscreen')
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if elem:
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original_price = parse_amazon_price(elem.get_text(strip=True))
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# Rating
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rating = None
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for selector in ['[aria-label*="étoile"]', '[aria-label*="star"]']:
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elem = card.select_one(selector)
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if elem:
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rating = parse_rating(elem.get('aria-label', ''))
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if rating:
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break
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# Reviews
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reviews_count = None
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for selector in ['[aria-label*="étoile"] + span', 'span.s-underline-text']:
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elem = card.select_one(selector)
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if elem:
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reviews_count = parse_reviews_count(elem.get_text(strip=True))
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if reviews_count:
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break
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# Image
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image_url = None
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for selector in ['img.s-image', 'img']:
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elem = card.select_one(selector)
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if elem:
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image_url = elem.get('src') or elem.get('data-src')
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if image_url:
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break
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# Prime
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prime = bool(card.select_one('[aria-label*="Prime"]') or card.select_one('i.a-icon-prime'))
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# Stock
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in_stock = True
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if card.select_one('[aria-label*="Indisponible"]'):
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in_stock = False
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return AmazonProduct(
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title=title,
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url=product_url,
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price=price,
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original_price=original_price,
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rating=rating,
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reviews_count=reviews_count,
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image_url=image_url,
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in_stock=in_stock,
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prime=prime,
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sponsored=sponsored,
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)
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# Global instance
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amazon_scraper_service = AmazonScraperService()
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