""" Direct Search Service - Recherche sur les sites e-commerce via Browserless Utilise Playwright/Browserless pour gérer JavaScript et contourner la détection de bots. """ import asyncio import logging import os import random import re import time from urllib.parse import quote_plus, urljoin, urlparse from bs4 import BeautifulSoup from playwright.async_api import async_playwright logger = logging.getLogger(__name__) BROWSERLESS_URL = os.getenv("BROWSERLESS_URL", "ws://browserless:3000") # Constants MIN_TITLE_LENGTH = 3 MIN_LINK_TEXT_LENGTH = 5 # Pool of realistic User-Agents for rotation (Chrome on Windows/Mac) USER_AGENT_POOL = [ # Chrome Windows - Latest versions "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36", # Chrome Mac "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36", # Firefox Windows "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:133.0) Gecko/20100101 Firefox/133.0", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:132.0) Gecko/20100101 Firefox/132.0", # Firefox Mac "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:133.0) Gecko/20100101 Firefox/133.0", # Edge Windows "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0", ] # Amazon-specific blocking indicators AMAZON_BLOCK_INDICATORS = [ "Toutes nos excuses", "Sorry, something went wrong", "To discuss automated access to Amazon data", "api-services-support@amazon.com", "Enter the characters you see below", "Saisissez les caractères", "Type the characters you see", "Sorry! Something went wrong", "Service Unavailable", "robot check", "automated access", "ref=cs_503", ] # Amazon retry configuration AMAZON_MAX_RETRIES = 4 AMAZON_BASE_DELAY = 3.0 # seconds AMAZON_MAX_DELAY = 30.0 # seconds def _get_random_user_agent() -> str: """Get a random User-Agent from the pool""" return random.choice(USER_AGENT_POOL) def _is_amazon_blocked(html_content: str) -> bool: """Check if Amazon has blocked the request""" html_lower = html_content.lower() for indicator in AMAZON_BLOCK_INDICATORS: if indicator.lower() in html_lower: return True return False async def _random_delay(min_seconds: float = 1.0, max_seconds: float = 3.0): """Add a random delay to simulate human behavior""" delay = random.uniform(min_seconds, max_seconds) await asyncio.sleep(delay) async def _simulate_human_behavior(page): """Simulate human-like behavior on the page""" try: # Random mouse movements for _ in range(random.randint(2, 4)): x = random.randint(100, 1800) y = random.randint(100, 900) await page.mouse.move(x, y) await asyncio.sleep(random.uniform(0.1, 0.3)) # Small random scroll scroll_amount = random.randint(100, 400) await page.evaluate(f"window.scrollBy(0, {scroll_amount})") await asyncio.sleep(random.uniform(0.3, 0.7)) # Scroll back up a bit await page.evaluate(f"window.scrollBy(0, -{random.randint(50, 150)})") await asyncio.sleep(random.uniform(0.2, 0.5)) except Exception as e: logger.debug(f"Human behavior simulation error (non-critical): {e}") # Legacy constant for backward compatibility USER_AGENT = USER_AGENT_POOL[0] # Stealth JavaScript to inject before page load to hide automation STEALTH_JS = """ // Override the navigator.webdriver property Object.defineProperty(navigator, 'webdriver', { get: () => undefined, configurable: true }); // Override navigator.plugins to have some plugins Object.defineProperty(navigator, 'plugins', { get: () => { const plugins = [ { name: 'Chrome PDF Plugin', filename: 'internal-pdf-viewer', description: 'Portable Document Format' }, { name: 'Chrome PDF Viewer', filename: 'mhjfbmdgcfjbbpaeojofohoefgiehjai', description: '' }, { name: 'Native Client', filename: 'internal-nacl-plugin', description: '' } ]; plugins.item = (i) => plugins[i]; plugins.namedItem = (name) => plugins.find(p => p.name === name); plugins.refresh = () => {}; return plugins; }, configurable: true }); // Override navigator.languages Object.defineProperty(navigator, 'languages', { get: () => ['fr-FR', 'fr', 'en-US', 'en'], configurable: true }); // Override permissions const originalQuery = window.navigator.permissions.query; window.navigator.permissions.query = (parameters) => ( parameters.name === 'notifications' ? Promise.resolve({ state: Notification.permission }) : originalQuery(parameters) ); // Hide automation-related properties delete window.cdc_adoQpoasnfa76pfcZLmcfl_Array; delete window.cdc_adoQpoasnfa76pfcZLmcfl_Promise; delete window.cdc_adoQpoasnfa76pfcZLmcfl_Symbol; // Override chrome object window.chrome = { runtime: {}, loadTimes: function() {}, csi: function() {}, app: {} }; // Fake WebGL vendor and renderer const getParameterProxyHandler = { apply: function(target, ctx, args) { if (args[0] === 37445) { return 'Intel Inc.'; } if (args[0] === 37446) { return 'Intel Iris OpenGL Engine'; } return Reflect.apply(target, ctx, args); } }; try { const canvas = document.createElement('canvas'); const gl = canvas.getContext('webgl') || canvas.getContext('experimental-webgl'); if (gl) { const getParameter = gl.getParameter.bind(gl); gl.getParameter = new Proxy(getParameter, getParameterProxyHandler); } } catch(e) {} // Override connection rtt (reduces fingerprinting) Object.defineProperty(navigator, 'connection', { get: () => ({ effectiveType: '4g', rtt: 50, downlink: 10, saveData: false }), configurable: true }); // Override hardware concurrency Object.defineProperty(navigator, 'hardwareConcurrency', { get: () => 8, configurable: true }); // Override device memory Object.defineProperty(navigator, 'deviceMemory', { get: () => 8, configurable: true }); console.log('Stealth mode activated'); """ # Chemin absolu pour les dumps de débogage (doit correspondre à celui dans debug.py) DEBUG_DUMPS_DIR = "/app/debug_dumps" def _dump_debug_html(html: str, domain: str, query: str): """Sauvegarde le HTML pour débogage""" try: if not os.path.exists(DEBUG_DUMPS_DIR): os.makedirs(DEBUG_DUMPS_DIR, exist_ok=True) logger.info(f"Created debug dumps directory: {DEBUG_DUMPS_DIR}") # Utiliser un timestamp unique basé sur le temps actuel timestamp = int(time.time() * 1000) # Nettoyer la query pour le nom de fichier safe_query = "".join(c if c.isalnum() else "_" for c in query)[:50] filename = f"{DEBUG_DUMPS_DIR}/{domain}_{safe_query}_{timestamp}.html" with open(filename, "w", encoding="utf-8") as f: f.write(html) logger.info(f"HTML dump saved to {filename}") return filename except Exception as e: logger.error(f"Failed to dump HTML: {e}") return None class SearchResult: """Résultat de recherche""" def __init__( self, url: str, title: str, snippet: str, source: str, price: float | None = None, currency: str = "EUR", in_stock: bool | None = None, ): self.url = url self.title = title self.snippet = snippet self.source = source self.price = price self.currency = currency self.in_stock = in_stock def __repr__(self): return f"SearchResult(url={self.url}, title={self.title[:30]}...)" # Configuration des sites avec leurs sélecteurs par défaut # Liste des sites français configurés en dur DEFAULT_SITE_CONFIGS = { # === MAGASINS DISCOUNT === "gifi.fr": { "name": "Gifi", "search_url": "https://www.gifi.fr/catalogsearch/result/?q={query}", "product_selector": ( ".product-item a.product-item-link, .product-item-info a, " ".product-item a, .products-grid a, a[href$='.html']" ), "wait_selector": ".products-grid, .product-items, .search-results, .products", "category": "Discount", "requires_js": True, "priority": 1, }, "stokomani.fr": { "name": "Stokomani", "search_url": "https://www.stokomani.fr/recherche?q={query}", "product_selector": ( ".product-miniature a, .js-product-miniature a, a.product-thumbnail, " ".products article a, a[href*='/products/'], a[href*='/produit/']" ), "wait_selector": ".products, .product-miniature, #js-product-list, .collection-products", "category": "Discount", "requires_js": True, "priority": 2, }, "bmstores.fr": { "name": "B&M", "search_url": "https://bmstores.fr/module/ambjolisearch/jolisearch?s={query}", "product_selector": ( # Cibler uniquement les liens produits, pas les catégories "a.product-thumbnail[href*='/produits/']:not([href*='/c/']):not([href*='/categorie']), " ".product-miniature a[href*='/produits/']:not([href*='/c/']), " ".js-product-miniature a[href*='/produits/']" ), "wait_selector": ".products, .product-miniature, #js-product-list, #search_results", "category": "Discount", "requires_js": True, "priority": 3, }, "centrakor.com": { "name": "Centrakor", "search_url": "https://www.centrakor.com/catalogsearch/result/?q={query}", "product_selector": ( ".product-item a.product-item-link, .product-item-info a, " ".products-grid a, a[href$='.html']" ), "wait_selector": ".products-grid, .product-items, .search-results", "category": "Déco & Maison", "requires_js": True, "priority": 4, }, "lincroyable.fr": { "name": "L'Incroyable", "search_url": "https://www.lincroyable.fr/recherche-query={query}/?", "product_selector": ( ".product-miniature a, .js-product-miniature a, a.product-thumbnail, " ".products article a, a[href*='/produit']" ), "wait_selector": ".products, .product-miniature, #js-product-list", "category": "Discount", "requires_js": True, "priority": 5, }, "action.com": { "name": "Action", "search_url": "https://www.action.com/fr-fr/search/?q={query}", "product_selector": "a.product-card__link, .product-card a, a[href*='/p/']", "wait_selector": ".product-card, .search-results", "category": "Discount", "requires_js": True, "priority": 6, }, "lafoirfouille.fr": { "name": "La Foir'Fouille", "search_url": "https://www.lafoirfouille.fr/catalogsearch/result/?q={query}", "product_selector": ( ".product-item a.product-item-link, .product-item-info a, " ".products-grid a, a[href$='.html']" ), "wait_selector": ".products-grid, .product-items, .search-results", "category": "Discount", "requires_js": True, "priority": 7, }, # === GRANDES SURFACES === "e.leclerc": { "name": "E.Leclerc", # URL correcte: https://www.e.leclerc/recherche?q=lutin "search_url": "https://www.e.leclerc/recherche?q={query}", "product_selector": ( # Sélecteurs spécifiques aux produits E.Leclerc (liens /fp/) "a[href*='/fp/'][href*='-']:not([href*='promo']):not([href*='promotion']), " ".product-card a[href*='/fp/'], " "[data-testid='product-card'] a[href*='/fp/']" ), "wait_selector": "[data-testid='product-grid'], .search-results-list, .products-grid", "category": "Grande Surface", "requires_js": True, "priority": 8, }, "auchan.fr": { "name": "Auchan", # URL correcte: https://www.auchan.fr/recherche?text=lutin "search_url": "https://www.auchan.fr/recherche?text={query}", "product_selector": ( # Sélecteurs spécifiques aux produits Auchan (liens /p/ avec ID produit) "a[href*='/p/'][href$='.html'], " "a[href*='/p/'][href*='-p-'], " ".product-thumbnail a[href*='/p/'], " "[data-testid='product-card'] a[href*='/p/']" ), "wait_selector": ".search-results, .product-grid, [data-testid='search-results']", "category": "Grande Surface", "requires_js": True, "priority": 9, }, "carrefour.fr": { "name": "Carrefour", # URL correcte: https://www.carrefour.fr/s?q=lutin "search_url": "https://www.carrefour.fr/s?q={query}", "product_selector": ( # Sélecteurs spécifiques aux produits Carrefour (liens /p/) "a[href*='/p/'][href$='.html'], " "a[href*='/p/'][href*='-p-'], " ".product-card a[href*='/p/'], " "[data-testid='product-card'] a[href*='/p/']" ), "wait_selector": ".search-results, .product-grid, [data-testid='search-results']", "category": "Grande Surface", "requires_js": True, "priority": 10, }, # === E-COMMERCE GÉNÉRALISTE === "amazon.fr": { "name": "Amazon France", "search_url": "https://www.amazon.fr/s?k={query}", "product_selector": ( # Sélecteurs robustes pour Amazon "div[data-asin]:not([data-asin='']) h2 a, " ".s-result-item[data-asin] h2 a, " "[data-component-type='s-search-result'] h2 a, " # Fallback sur les liens d'images si le titre est manqué ".s-result-item[data-asin] .s-image-link, " "a.a-link-normal.s-no-outline[href*='/dp/']" ), "wait_selector": "[data-component-type='s-search-result'], .s-result-item", "category": "E-commerce", "requires_js": True, "priority": 11, }, "cdiscount.com": { "name": "Cdiscount", "search_url": "https://www.cdiscount.com/search/10/{query}.html", "product_selector": ( # Sélecteurs spécifiques Cdiscount - produits uniquement "a.prdtBImg[href*='/f-'][href*='.html'], " ".prdtBILDetails a[href*='/f-'][href*='.html'], " "a[href*='/f-'][href*='.html']:not([href*='/l-']):not([href*='/rayon'])" ), "wait_selector": ".prdtBILDetails, .product-list, #lpBloc", "category": "E-commerce", "requires_js": True, "priority": 12, }, # === ÉLECTRONIQUE / HIGH-TECH === "darty.com": { "name": "Darty", "search_url": "https://www.darty.com/nav/recherche?text={query}", "product_selector": ( # Cibler les fiches produits, exclure navigation et catégories "a[href*='/nav/achat/'][href*='.html']:not([href*='/rayon']):not([href*='/promo']), " ".product-card a[href*='/nav/achat/'], " "a.product-link[href*='/nav/achat/']" ), "wait_selector": ".product-card, .product-list, .product-item", "category": "Électronique", "requires_js": True, "priority": 13, }, "boulanger.com": { "name": "Boulanger", "search_url": "https://www.boulanger.com/resultats?tr={query}", "product_selector": ( # Cibler uniquement les pages produits avec /ref/ "a[href*='/ref/'][href*='_']:not([href*='/c/']):not([href*='/rayon']), " ".product-list__item a[href*='/ref/'], " ".product-card__link[href*='/ref/']" ), "wait_selector": ".product-list, .product-card, .products-list", "category": "Électronique", "requires_js": True, "priority": 14, }, # === AUTRES (conservés pour compatibilité) === "amazon.com": { "name": "Amazon US", "search_url": "https://www.amazon.com/s?k={query}", "product_selector": ( # Sélecteurs robustes pour Amazon "div[data-asin]:not([data-asin='']) h2 a, " ".s-result-item[data-asin] h2 a, " "[data-component-type='s-search-result'] h2 a, " # Fallback sur les liens d'images si le titre est manqué ".s-result-item[data-asin] .s-image-link, " "a.a-link-normal.s-no-outline[href*='/dp/']" ), "wait_selector": "[data-component-type='s-search-result'], .s-result-item", "category": "E-commerce", "requires_js": True, "priority": 99, }, "fnac.com": { "name": "Fnac", "search_url": "https://www.fnac.com/SearchResult/ResultList.aspx?Search={query}", "product_selector": ( # Sélecteurs Fnac pour les produits "a.Article-title[href*='/a'], " ".Article-item a.js-minifa-title[href*='/a'], " "a[href*='/a'][href*='.html']:not([href*='/rayon']):not([href*='/univers'])" ), "wait_selector": ".Article-item, .Article-list, #SearchResultList", "category": "Culture & Tech", "requires_js": True, "priority": 15, }, } # Sélecteurs communs pour les bannières de cookies # Ordonnés du plus spécifique au plus générique pour une meilleure détection COOKIE_ACCEPT_SELECTORS = [ # === SITES SPÉCIFIQUES FRANÇAIS === # Amazon France "#sp-cc-accept", "input[name='accept'][type='submit']", "[data-action='sp-cc']", # E.Leclerc "#onetrust-accept-btn-handler", ".onetrust-accept-btn-handler", # Auchan "#popin_tc_privacy_button_2", ".popin_tc_privacy_button", "#didomi-notice-agree-button", # Carrefour "#onetrust-accept-btn-handler", "[data-testid='accept-cookies-button']", # Cdiscount "#footer_tc_privacy_button_2", ".privacy_prompt_accept", # Darty / Fnac "#onetrust-accept-btn-handler", # Boulanger ".bcom-consent-accept-all", "#cookieBanner-accept", # === CMP (Consent Management Platforms) === "#didomi-notice-agree-button", ".didomi-continue-without-agreeing", "#onetrust-accept-btn-handler", ".onetrust-accept-btn-handler", "#tarteaucitronPersonalize2", ".tarteaucitronAllow", "#tarteaucitronAllDenied2", ".cc-btn.cc-allow", ".cky-btn-accept", "#CybotCookiebotDialogBodyLevelButtonLevelOptinAllowAll", "#CybotCookiebotDialogBodyButtonAccept", ".qc-cmp2-summary-buttons button:first-child", "[data-accept-cookies]", "[data-gdpr-accept]", "#axeptio_btn_acceptAll", ".axeptio_acceptAll", # === TEXTE FRANÇAIS (Playwright :has-text) === "button:has-text('Tout accepter')", "button:has-text('Accepter tout')", "button:has-text('Accepter et fermer')", "button:has-text('Accepter les cookies')", "button:has-text('Accepter')", "button:has-text('J\\'accepte')", "button:has-text('OK')", "button:has-text('Continuer')", "button:has-text('Continuer sans accepter')", "a:has-text('Tout accepter')", "a:has-text('Accepter')", "a:has-text('J\\'accepte')", "span:has-text('Tout accepter')", # === TEXTE ANGLAIS === "button:has-text('Accept all')", "button:has-text('Accept cookies')", "button:has-text('Accept')", "button:has-text('I accept')", "button:has-text('Allow all')", # === GÉNÉRIQUES === "button[id*='accept']", "button[id*='cookie']", "button[class*='accept']", "button[class*='cookie']", "button[data-testid*='accept']", "button[data-testid*='cookie']", ] async def _accept_cookies(page, domain: str) -> bool: """ Tente d'accepter les cookies sur une page. Essaie plusieurs fois et gère les iframes. Retourne True si un bouton a été cliqué, False sinon. """ try: # Attendre un court moment pour que la bannière apparaisse await asyncio.sleep(1.5) # Essayer d'abord dans la page principale for selector in COOKIE_ACCEPT_SELECTORS: try: button = page.locator(selector).first if await button.is_visible(timeout=300): await button.click(timeout=2000) logger.info(f"{domain}: Cookies acceptés avec sélecteur {selector}") await asyncio.sleep(0.5) return True except Exception: continue # Essayer dans les iframes (certains CMP utilisent des iframes) frames = page.frames for frame in frames: if frame == page.main_frame: continue for selector in COOKIE_ACCEPT_SELECTORS[:20]: # Limiter aux premiers sélecteurs try: button = frame.locator(selector).first if await button.is_visible(timeout=200): await button.click(timeout=2000) logger.info(f"{domain}: Cookies acceptés dans iframe avec {selector}") await asyncio.sleep(0.5) return True except Exception: continue # Deuxième tentative après un peu plus d'attente (pour les bannières lentes) await asyncio.sleep(1) for selector in COOKIE_ACCEPT_SELECTORS[:30]: try: button = page.locator(selector).first if await button.is_visible(timeout=200): await button.click(timeout=2000) logger.info(f"{domain}: Cookies acceptés (2e essai) avec {selector}") await asyncio.sleep(0.5) return True except Exception: continue logger.debug(f"{domain}: Aucune bannière de cookies trouvée") return False except Exception as e: logger.debug(f"{domain}: Erreur lors de l'acceptation des cookies: {e}") return False async def search( query: str, sites: list[dict], max_results: int = 20, timeout: float = 30.0, browser=None, # Instance de navigateur partagée optionnelle ) -> list[SearchResult]: """ Recherche sur les sites e-commerce via Browserless. Args: query: Terme de recherche sites: Liste de dicts avec {domain, search_url, product_link_selector, name} max_results: Nombre maximum de résultats timeout: Timeout par site browser: Instance Playwright browser partagée (optionnel) Returns: Liste de SearchResult """ if not sites: logger.warning("Aucun site configuré pour la recherche") return [] all_results = [] results_per_site = max(5, max_results // len(sites)) logger.info(f"Démarrage recherche parallèle v2 (Shared Browser) sur {len(sites)} sites pour '{query}'") # Si un navigateur est fourni, on l'utilise directement if browser: return await _execute_search_with_browser(query, sites, results_per_site, timeout, browser) # Sinon on crée notre propre instance (comportement autonome) try: async with async_playwright() as p: logger.info(f"Connexion autonome à Browserless: {BROWSERLESS_URL}") local_browser = await p.chromium.connect_over_cdp(BROWSERLESS_URL) try: return await _execute_search_with_browser(query, sites, results_per_site, timeout, local_browser) finally: await local_browser.close() logger.info("Navigateur autonome fermé") except Exception as e: logger.error(f"Erreur globale recherche autonome: {e}") return [] async def _execute_search_with_browser( query: str, sites: list[dict], results_per_site: int, timeout: float, browser, ) -> list[SearchResult]: """Exécute la recherche avec un navigateur donné""" all_results = [] try: # Créer des tâches pour chaque site tasks = [] for site in sites: task = _search_site_browserless( query=query, site=site, max_results=results_per_site, timeout=timeout, browser=browser, ) tasks.append(task) # Exécuter en parallèle avec asyncio.gather results_list = await asyncio.gather(*tasks, return_exceptions=True) # Agréger les résultats for i, result in enumerate(results_list): site_domain = sites[i].get("domain", "inconnu") if isinstance(result, Exception): logger.error(f"Erreur fatale recherche {site_domain}: {result}") continue if result: all_results.extend(result) logger.info(f"Site {site_domain}: {len(result)} résultats") else: logger.info(f"Site {site_domain}: 0 résultat") except Exception as e: logger.error(f"Erreur exécution recherche: {e}") return all_results async def _search_site_browserless( # noqa: PLR0912, PLR0915 query: str, site: dict, max_results: int, timeout: float, browser, # Instance de navigateur partagée ) -> list[SearchResult]: """Recherche sur un site via Browserless (Playwright)""" raw_domain = site.get("domain", "").lower() # Nettoyer le domaine (enlever protocole, www, slash final) domain = _clean_domain(raw_domain) # Check if debug is enabled for this site debug_enabled = site.get("debug_enabled", False) search_url = site.get("search_url") or _get_default_search_url(domain) product_selector = site.get("product_link_selector") or _get_default_product_selector(domain) wait_selector = _get_default_wait_selector(domain) if not search_url: logger.warning(f"Pas d'URL de recherche configurée pour {domain}") return [] # Construire l'URL de recherche encoded_query = quote_plus(query) final_url = search_url.replace("{query}", encoded_query) logger.info(f"Recherche Browserless sur {domain}: {final_url}") # Check if this is Amazon - requires special handling is_amazon = "amazon" in domain.lower() max_retries = AMAZON_MAX_RETRIES if is_amazon else 1 for attempt in range(max_retries): if attempt > 0: # Exponential backoff with jitter for Amazon retries base_delay = AMAZON_BASE_DELAY * (2 ** attempt) jitter = random.uniform(0.5, 1.5) delay = min(base_delay * jitter, AMAZON_MAX_DELAY) logger.info(f"Amazon retry {attempt + 1}/{max_retries} for '{query}' after {delay:.1f}s delay") await asyncio.sleep(delay) context = None page = None try: # Get random User-Agent for each attempt (important for Amazon) current_user_agent = _get_random_user_agent() # Create stealth headers - more comprehensive for Amazon extra_headers = { "Accept-Language": "fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7", "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8", "Accept-Encoding": "gzip, deflate, br", "Cache-Control": "max-age=0", "Sec-Ch-Ua": '"Google Chrome";v="131", "Chromium";v="131", "Not_A Brand";v="24"', "Sec-Ch-Ua-Mobile": "?0", "Sec-Ch-Ua-Platform": '"Windows"', "Sec-Fetch-Dest": "document", "Sec-Fetch-Mode": "navigate", "Sec-Fetch-Site": "none", "Sec-Fetch-User": "?1", "Upgrade-Insecure-Requests": "1", } # Add referer for Amazon to look more natural if is_amazon: extra_headers["Referer"] = "https://www.google.fr/" # Créer un nouveau contexte isolé pour ce site context = await browser.new_context( viewport={"width": 1920, "height": 1080}, user_agent=current_user_agent, locale="fr-FR", timezone_id="Europe/Paris", extra_http_headers=extra_headers, # Additional stealth options java_script_enabled=True, bypass_csp=True, # Bypass Content Security Policy for script injection ) # Inject stealth script before any page loads (especially for Amazon) if is_amazon: await context.add_init_script(STEALTH_JS) logger.debug("Stealth JS injected for Amazon") # For Amazon, don't block images - it may trigger detection if not is_amazon: await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort()) await context.route("**/analytics*", lambda route: route.abort()) await context.route("**/tracking*", lambda route: route.abort()) page = await context.new_page() # Add random delay before navigation for Amazon if is_amazon: await _random_delay(1.0, 3.0) # Naviguer vers la page de recherche await page.goto(final_url, wait_until="domcontentloaded", timeout=int(timeout * 1000)) # For Amazon, simulate human behavior before interacting if is_amazon: await _simulate_human_behavior(page) # Accepter les cookies si nécessaire await _accept_cookies(page, domain) # Attendre que les résultats se chargent if wait_selector: try: await page.wait_for_selector(wait_selector, timeout=10000) except Exception: logger.debug(f"Selector {wait_selector} non trouvé sur {domain}, on continue...") # Attendre un peu pour le JS - longer wait for Amazon wait_time = random.uniform(2.0, 4.0) if is_amazon else 1.5 await asyncio.sleep(wait_time) # Extraire le HTML html_content = await page.content() # Check for Amazon blocking (503, "Toutes nos excuses", etc.) if is_amazon and _is_amazon_blocked(html_content): logger.warning(f"Amazon blocked request (attempt {attempt + 1}/{max_retries}) for '{query}'") # Always dump for Amazon blocking (critical error) if debug_enabled or is_amazon: _dump_debug_html(html_content, domain, f"{query}_blocked_attempt{attempt + 1}") # Close resources before retry try: if page: await page.close() if context: await context.close() except Exception: pass continue # Retry with new User-Agent and delay # Check for CAPTCHA if "Enter the characters you see below" in html_content or "Saisissez les caractères" in html_content: logger.warning(f"CAPTCHA detected on {domain}!") # Always dump for CAPTCHA (critical error) if debug_enabled or is_amazon: _dump_debug_html(html_content, domain, f"{query}_captcha") if is_amazon and attempt < max_retries - 1: try: if page: await page.close() if context: await context.close() except Exception: pass continue # Retry return [] # Parser le HTML avec BeautifulSoup soup = BeautifulSoup(html_content, "lxml") results = [] seen_urls = set() # Trouver les liens produits links = [] if product_selector: # Essayer plusieurs sélecteurs séparés par virgule selectors = [s.strip() for s in product_selector.split(",")] for sel in selectors: try: found = soup.select(sel) links.extend(found) except Exception: continue logger.info(f"{domain}: {len(links)} liens trouvés avec sélecteur configuré") # Fallback: détection générique si le sélecteur n'a rien trouvé if not links: logger.info(f"{domain}: Sélecteur configuré n'a rien trouvé, utilisation détection générique") links = _find_product_links(soup, domain) logger.info(f"{domain}: {len(links)} liens trouvés avec détection générique") for link in links: href = link.get("href", "") if not href: continue # Construire l'URL complète if href.startswith("/"): href = f"https://{domain}{href}" elif not href.startswith("http"): href = urljoin(final_url, href) # Nettoyer l'URL href = _clean_product_url(href, domain) # Éviter les doublons if href in seen_urls: continue seen_urls.add(href) # Vérifier que c'est bien un lien vers ce domaine url_domain = _extract_domain(href) if domain not in url_domain and url_domain not in domain: # logger.debug(f"Ignored external link: {href}") continue # Filtrer les liens non-produits if _is_non_product_url(href): # logger.debug(f"Ignored non-product link: {href}") continue # Extraire le titre title = _extract_title(link) if not title or len(title) < MIN_TITLE_LENGTH: # logger.debug(f"Ignored link with no title: {href}") continue results.append(SearchResult( url=href, title=title, snippet="", source=domain, # On ne peut pas extraire le prix facilement ici sans scraper chaque page # Le scraping détaillé se fera dans la phase 2 )) if len(results) >= max_results: break logger.info(f"{domain}: {len(results)} résultats extraits") # If we got results, success! Return them if len(results) > 0: return results # No results found - for Amazon this might be temporary blocking if debug_enabled: logger.warning(f"{domain}: 0 results found. Dumping HTML for debugging.") _dump_debug_html(html_content, domain, f"{query}_no_results") else: logger.warning(f"{domain}: 0 results found (debug disabled, no HTML dump)") # For Amazon, if no results and we have retries left, try again if is_amazon and attempt < max_retries - 1: logger.info(f"Amazon returned 0 results, will retry...") continue return results except Exception as e: logger.error(f"Erreur Browserless sur {domain}: {e}") if is_amazon and attempt < max_retries - 1: logger.info(f"Will retry after error...") continue return [] finally: # Fermer le contexte et la page, mais PAS le navigateur try: if page: await page.close() if context: await context.close() except Exception as e: logger.debug(f"Erreur fermeture contexte {domain}: {e}") # If we exhausted all retries for Amazon logger.error(f"All {max_retries} attempts failed for Amazon search '{query}'") return [] def _get_default_search_url(domain: str) -> str | None: """Retourne l'URL de recherche par défaut pour un domaine""" # Nettoyer le domaine pour la comparaison clean = domain.lower().strip() if clean.startswith("www."): clean = clean[4:] for key, config in DEFAULT_SITE_CONFIGS.items(): key_clean = key.lower().strip() if key_clean.startswith("www."): key_clean = key_clean[4:] # Comparaison exacte ou partielle if clean == key_clean or key_clean in clean or clean in key_clean: return config.get("search_url") return None def _get_default_product_selector(domain: str) -> str | None: """Retourne le sélecteur de produits par défaut pour un domaine""" # Nettoyer le domaine pour la comparaison clean = domain.lower().strip() if clean.startswith("www."): clean = clean[4:] for key, config in DEFAULT_SITE_CONFIGS.items(): key_clean = key.lower().strip() if key_clean.startswith("www."): key_clean = key_clean[4:] if clean == key_clean or key_clean in clean or clean in key_clean: return config.get("product_selector") return None def _get_default_wait_selector(domain: str) -> str | None: """Retourne le sélecteur d'attente par défaut pour un domaine""" # Nettoyer le domaine pour la comparaison clean = domain.lower().strip() if clean.startswith("www."): clean = clean[4:] for key, config in DEFAULT_SITE_CONFIGS.items(): key_clean = key.lower().strip() if key_clean.startswith("www."): key_clean = key_clean[4:] if clean == key_clean or key_clean in clean or clean in key_clean: return config.get("wait_selector") return None def _find_product_links(soup: BeautifulSoup, domain: str) -> list: """Trouve les liens produits de manière générique""" links = [] # Patterns très génériques pour les liens produits - ordre du plus spécifique au plus générique patterns = [ # Patterns spécifiques e-commerce "a[href*='/product']", "a[href*='/products/']", "a[href*='/produit']", "a[href*='/produits/']", "a[href*='/p/']", "a[href*='/dp/']", "a[href*='/item']", "a[href*='/article']", "a[href*='/fiche']", "a[href*='-p-']", "a[href*='_p_']", "a[href*='/detail']", "a[href$='.html']", # Classes communes "a.product", "a.product-link", "a.product-card", "a.product-item", "a.product-title", "a.product-name", ".product a", ".product-card a", ".product-tile a", ".product-item a", ".product-miniature a", ".product-container a", # Patterns PrestaShop (très commun en France) ".product-miniature a.thumbnail", ".product-miniature a.product-thumbnail", "a.product-thumbnail", ".js-product-miniature a", # Patterns Magento ".product-item-link", "a.product-item-link", ".products-grid a", ".products-list a", # Patterns WooCommerce ".woocommerce-loop-product__link", "a.woocommerce-LoopProduct-link", # Autres patterns génériques "[data-product] a", "[data-item] a", ".search-result a", ".results a", ".listing a", ".catalog a", # Images de produits avec liens "a:has(img[alt])", ".thumbnail a", ".thumb a", ] # Textes de liens à exclure (navigation, actions, etc.) bad_texts = [ "voir plus", "voir tout", "tout voir", "afficher plus", "suivant", "précédent", "next", "previous", "back", "accueil", "home", "menu", "filtrer", "trier", "conditions", "mentions", "contact", "aide", "connexion", "inscription", "panier", "compte", "retour", "livraison", "cgv", "cgu", "top ventes", "nouveautés", "promotions", "soldes", "nos magasins", "découvrir", "en savoir plus", "valider", "ok", "fermer", "accepter", "choisir", "modifier", "supprimer", "ajouter", "comparer", "wishlist", "favoris", "imprimer", "partager", "envoyer", "plan du site", "sitemap", ] for pattern in patterns: try: found = soup.select(pattern) if found: links.extend(found) except Exception: continue # Si toujours rien, essayer de trouver des liens dans les conteneurs de liste if not links: containers = soup.select( ".search-results, .products, .product-list, .results, " ".listing, .catalog, [class*='product'], [class*='result'], " "main, #content, .content" ) for container in containers: # Trouver tous les liens dans ces conteneurs container_links = container.find_all("a", href=True) for link in container_links: href = link.get("href", "") # Filtrer les liens de navigation/footer if href and not _is_navigation_link(href): # Vérifier si le lien a une image ou du texte substantiel if link.find("img") or len(link.get_text(strip=True)) > MIN_LINK_TEXT_LENGTH: links.append(link) # Dédupliquer et filtrer par texte seen = set() unique_links = [] for link in links: href = link.get("href", "") if not href or href in seen: continue # Vérification du texte du lien link_text = link.get_text(strip=True).lower() # Si le texte correspond exactement à un texte banni if any(bad_text == link_text for bad_text in bad_texts): continue # Si le texte contient des indicateurs de navigation forts if "voir tout" in link_text or "tous les produits" in link_text or "voir la gamme" in link_text: continue seen.add(href) unique_links.append(link) return unique_links def _is_navigation_link(href: str) -> bool: """Vérifie si un lien est un lien de navigation (pas un produit)""" nav_patterns = [ # Catégories et navigation "/category", "/categories", "/categorie", "/c/", "/rayon", "/rayons", "/univers", "/famille", "/groupe", "/brand", "/brands", "/marque", "/marques", "/fabricant", "/boutique", "/boutiques", "/shop", "/store", "/collection", "/collections", "/theme", "/themes", "/liste", "/list", "/listing", "/tag", "/tags", "/sujet", "/topic", "/catalog", "/catalogue", "/view-all", "/tous-les-produits", "/tout-voir", "/page/", "/pages/", "/cart", "/panier", "/basket", "/checkout", "/commande", "/account", "/compte", "/mon-compte", "/login", "/connexion", "/register", "/inscription", "/search", "/recherche", "/contact", "/help", "/aide", "/about", "/a-propos", "/terms", "/privacy", "/cgv", "/mentions", "/faq", "/shipping", "/livraison", "/returns", "/retours", "javascript:", "mailto:", "tel:", "#", "?page=", "&page=", # URLs non-produit spécifiques aux sites français "/application", "/app/", "/apps/", "/courses", "/course/", "/ep-", "/endpoint", # Promotions et offres (patterns communs) "/promo/", "/promotions/", "/promotion/", "/soldes/", "/solde/", "/bon-plan", "/bons-plans", "/offres/", "/offre/", "/offre-", "/deals/", "/deal/", "/ventes-flash", "/vente-flash", # Services et pages informatives "/services/", "/service/", "/magasin", "/magasins", "/stores/", "/store/", "/blog", "/actualites", "/news", "/recettes", "/recipes", "/conseils", "/tips", "/guide", "/guides", # Patterns e-commerce spécifiques "/l-", "/lp-", "/landing", # Landing pages (Cdiscount, etc.) "/selection", "/selections", "/top-", "/best-", "/nouveautes", # Amazon spécifique "/ref=cs_", "/logo", "/nav_", "/gp/help", "/gp/css", "/gp/redirect", "/hz/", "/ref=nb_", "/ref=sr_", "amazon.fr/ref=", "amazon.com/ref=", "/ap/signin", "/gp/yourstore", "/gp/cart", "/503", "/error", "/robot", # Liens génériques à exclure "/home", "/accueil", "/index", "/newsletter", "/subscribe", "/wishlist", "/liste-envies", "/compare", "/comparaison", ] href_lower = href.lower() return any(pattern in href_lower for pattern in nav_patterns) def _extract_title(element) -> str: """Extrait le titre d'un élément""" # Essayer différentes méthodes title = element.get("title", "") if title and len(title) > MIN_TITLE_LENGTH: return title.strip() # Texte de l'élément text = element.get_text(strip=True) if text and len(text) > MIN_TITLE_LENGTH: return text[:200] # Attribut aria-label label = element.get("aria-label", "") if label: return label.strip() # Image alt text img = element.find("img") if img: alt = img.get("alt", "") if alt: return alt.strip() return "" def _clean_product_url(url: str, domain: str) -> str: """Nettoie une URL produit""" # Pour Amazon, simplifier l'URL if "amazon." in url and "/dp/" in url: match = re.search(r"(/dp/[A-Z0-9]{10})", url) if match: domain_match = re.search(r"(https?://[^/]+)", url) if domain_match: return domain_match.group(1) + match.group(1) return url.split("?")[0] if "?" in url else url def _extract_domain(url: str) -> str: """Extrait le domaine d'une URL""" try: parsed = urlparse(url) domain = parsed.netloc.lower() if domain.startswith("www."): domain = domain[4:] return domain except Exception: return "" def _clean_domain(domain: str) -> str: """Nettoie un domaine (enlève protocole, www, slash final)""" if not domain: return "" domain = domain.strip().lower() # Enlever le protocole if domain.startswith("https://"): domain = domain[8:] elif domain.startswith("http://"): domain = domain[7:] # Enlever www. if domain.startswith("www."): domain = domain[4:] # Enlever le slash final domain = domain.rstrip("/") return domain def _is_non_product_url(url: str) -> bool: """Vérifie si l'URL n'est pas une page produit""" url_lower = url.lower() # Pour Amazon, on vérifie que l'URL contient /dp/ (page produit) if "amazon" in url_lower: # Si c'est Amazon mais pas un lien /dp/, c'est pas un produit if "/dp/" not in url_lower and "/gp/product/" not in url_lower: return True # Exclure les liens d'erreur/redirection Amazon if "/ref=cs_" in url_lower or "/ref=nb_sb" in url_lower: return True if "amazon.fr/ref=" in url_lower or "amazon.com/ref=" in url_lower: if "/dp/" not in url_lower: return True non_product_patterns = [ # Navigation et catégories "/search", "/category", "/categories", "/categorie", "/c/", "/rayon", "/rayons", "/univers", "/famille", "/groupe", "/brand", "/brands", "/marque", "/marques", "/fabricant", "/boutique", "/boutiques", "/shop", "/store", "/collection", "/collections", "/theme", "/themes", "/liste", "/list", "/listing", "/tag", "/tags", "/sujet", "/topic", "/catalog", "/catalogue", "/view-all", "/tous-les-produits", "/tout-voir", # Pages utilisateur "/help", "/contact", "/about", "/account", "/cart", "/checkout", "/login", "/register", "/wishlist", "/compare", "/reviews", "/mon-compte", "/connexion", "/inscription", "/panier", # Pages légales "/terms", "/privacy", "/faq", "/shipping", "/returns", "/cgv", "/cgu", "/mentions-legales", "/donnees-personnelles", # Erreurs "/503", "/error", "/robot", "/captcha", # Applications et services "/application", "/courses", "/app/", "/mobile", # Landing pages et promotions (patterns spécifiques e-commerce français) "/l-", "/lp-", "/landing", # Cdiscount landing pages "/promo/", "/soldes/", "/bon-plan", "/offre-", "/deals/", "/selection", "/top-", "/best-", "/nouveautes", "/guide", "/conseil", "/blog", "/actualites", ] return any(pattern in url_lower for pattern in non_product_patterns) async def health_check() -> bool: """Vérifie la connectivité avec Browserless""" try: async with async_playwright() as p: browser = await p.chromium.connect_over_cdp(BROWSERLESS_URL) await browser.close() return True except Exception as e: logger.warning(f"Browserless health check failed: {e}") return False