diff --git a/app/main.py b/app/main.py index 954f636..0e35c95 100644 --- a/app/main.py +++ b/app/main.py @@ -13,7 +13,7 @@ from sqlalchemy import text from app.database import SessionLocal, engine from app.limiter import limiter -from app.routers import auth, items, jobs, notifications, openrouter, search, search_sites, settings, debug, catalogues +from app.routers import auth, items, jobs, notifications, openrouter, search, search_sites, settings, debug, catalogues, amazon from app.services.scheduler_service import scheduled_refresh, scheduler from app.services import auth_service, search_service, seed_enseignes from app.services.scheduler import start_scheduler as start_catalog_scheduler, stop_scheduler as stop_catalog_scheduler @@ -190,6 +190,9 @@ app.include_router(catalogues.router) # Auth router (already has /api prefix) app.include_router(auth.router) +# Amazon router (already has /api prefix) +app.include_router(amazon.router) + @app.get("/api/") def read_root(): diff --git a/app/routers/amazon.py b/app/routers/amazon.py new file mode 100644 index 0000000..c7b5fdc --- /dev/null +++ b/app/routers/amazon.py @@ -0,0 +1,120 @@ +""" +API Router pour la recherche Amazon France +Utilise Server-Sent Events (SSE) pour le streaming des résultats +""" + +import json +import logging +from typing import AsyncGenerator + +from fastapi import APIRouter, Query +from fastapi.responses import StreamingResponse +from pydantic import BaseModel + +from app.services.amazon_scraper import scrape_amazon_search, AmazonProduct + +logger = logging.getLogger(__name__) + +router = APIRouter(prefix="/api/amazon", tags=["amazon"]) + + +class AmazonSearchProgress(BaseModel): + """Progress model for SSE streaming""" + status: str # 'searching', 'completed', 'error' + total: int + completed: int + message: str + results: list[dict] + + +@router.get("/search") +async def search_amazon( + q: str = Query(..., min_length=1, description="Terme de recherche"), + max_results: int = Query(20, ge=1, le=50, description="Nombre max de résultats"), +): + """ + Recherche de produits sur Amazon France. + + Retourne un flux SSE avec les résultats. + + Format des événements SSE: + - event: progress + - data: {"status": "...", "total": 1, "completed": 0/1, "results": [...]} + """ + + async def generate() -> AsyncGenerator[str, None]: + try: + # Initial progress + progress = AmazonSearchProgress( + status="searching", + total=1, + completed=0, + message=f"Recherche sur Amazon France: '{q}'...", + results=[] + ) + yield f"event: progress\ndata: {progress.model_dump_json()}\n\n" + + # Execute search + logger.info(f"Starting Amazon search for: {q}") + products = await scrape_amazon_search(q, max_results=max_results) + + # Convert to dict + results = [p.model_dump() for p in products] + + # Final progress + if results: + progress = AmazonSearchProgress( + status="completed", + total=1, + completed=1, + message=f"✅ {len(results)} produits trouvés", + results=results + ) + else: + progress = AmazonSearchProgress( + status="completed", + total=1, + completed=1, + message="Aucun produit trouvé", + results=[] + ) + + yield f"event: progress\ndata: {progress.model_dump_json()}\n\n" + + except Exception as e: + logger.error(f"Error during Amazon search: {e}", exc_info=True) + error_progress = AmazonSearchProgress( + status="error", + total=1, + completed=1, + message=f"Erreur: {str(e)}", + results=[] + ) + yield f"event: progress\ndata: {error_progress.model_dump_json()}\n\n" + + return StreamingResponse( + generate(), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-cache", + "Connection": "keep-alive", + "X-Accel-Buffering": "no", + }, + ) + + +@router.get("/health") +async def amazon_health(): + """Vérifie que le service Amazon est opérationnel""" + return { + "status": "ok", + "service": "Amazon France Scraper", + "anti_detection": "enabled", + "features": [ + "User-Agent rotation", + "Proxy rotation (10 proxies)", + "Random delays", + "Realistic headers", + "Crawl4AI anti-detection" + ] + } diff --git a/app/services/amazon_scraper.py b/app/services/amazon_scraper.py new file mode 100644 index 0000000..03ccbac --- /dev/null +++ b/app/services/amazon_scraper.py @@ -0,0 +1,433 @@ +""" +Amazon France Scraper Service - Powered by Crawl4AI +Anti-bot detection techniques: +- Realistic User-Agent rotation +- Complete HTTP headers mimicking real browsers +- Proxy rotation (10 residential proxies) +- Random delays between requests +- Browser fingerprint randomization +- Cookie persistence +- NetworkIdle waiting for complete page load +""" + +import asyncio +import hashlib +import logging +import random +import re +from datetime import datetime +from typing import Any +from urllib.parse import quote_plus + +from bs4 import BeautifulSoup +from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode +from pydantic import BaseModel, Field + +from app.core.search_config import AMAZON_PROXY_LIST_RAW, USER_AGENT_POOL + +logger = logging.getLogger(__name__) + +# Amazon France configuration +AMAZON_FR_BASE_URL = "https://www.amazon.fr" +AMAZON_FR_SEARCH_URL = "https://www.amazon.fr/s?k={query}" + +# Additional realistic User-Agents specifically for Amazon +AMAZON_USER_AGENTS = [ + "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 (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 (Windows NT 10.0; Win64; x64; rv:133.0) Gecko/20100101 Firefox/133.0", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1 Safari/605.1.15", + "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", +] + +# Realistic browser headers to avoid bot detection +def get_realistic_headers(user_agent: str) -> dict: + """Generate realistic browser headers""" + return { + "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8", + "Accept-Language": "fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7", + "Accept-Encoding": "gzip, deflate, br", + "DNT": "1", + "Connection": "keep-alive", + "Upgrade-Insecure-Requests": "1", + "Sec-Fetch-Dest": "document", + "Sec-Fetch-Mode": "navigate", + "Sec-Fetch-Site": "none", + "Sec-Fetch-User": "?1", + "Cache-Control": "max-age=0", + "User-Agent": user_agent, + } + + +def get_random_proxy() -> dict | None: + """Get a random proxy from the pool""" + if not AMAZON_PROXY_LIST_RAW: + return None + + proxy_str = random.choice(AMAZON_PROXY_LIST_RAW) + parts = proxy_str.split(":") + + if len(parts) == 4: + return { + "server": f"http://{parts[0]}:{parts[1]}", + "username": parts[2], + "password": parts[3] + } + return None + + +async def random_delay(min_seconds: float = 1.5, max_seconds: float = 4.0): + """Add random delay to mimic human behavior""" + delay = random.uniform(min_seconds, max_seconds) + logger.debug(f"Human-like delay: {delay:.2f}s") + await asyncio.sleep(delay) + + +# ============================================================================ +# PYDANTIC SCHEMAS +# ============================================================================ + +class AmazonProduct(BaseModel): + """Schema for Amazon product extraction""" + title: str = Field(description="Product title") + url: str = Field(description="Product URL") + price: float | None = Field(default=None, description="Price in EUR") + original_price: float | None = Field(default=None, description="Original price if discounted") + rating: float | None = Field(default=None, description="Product rating (0-5)") + reviews_count: int | None = Field(default=None, description="Number of reviews") + image_url: str | None = Field(default=None, description="Product image URL") + in_stock: bool = Field(default=True, description="Availability status") + prime: bool = Field(default=False, description="Prime eligible") + sponsored: bool = Field(default=False, description="Is sponsored") + + +# ============================================================================ +# PRICE PARSING HELPERS +# ============================================================================ + +def parse_amazon_price(price_text: str) -> float | None: + """ + Parse Amazon price formats: + - "12,99 €" + - "12,99€" + - "12.99 EUR" + - "1 234,99 €" + """ + if not price_text: + return None + + # Remove currency symbols and extra spaces + cleaned = price_text.strip().replace('€', '').replace('EUR', '').strip() + + # Remove thousands separators (space or dot in French format) + cleaned = cleaned.replace(' ', '').replace('\xa0', '') # \xa0 is non-breaking space + + # Replace comma with dot for decimal separator + cleaned = cleaned.replace(',', '.') + + # Extract first number (in case of ranges like "12.99 - 15.99") + match = re.search(r'(\d+\.?\d*)', cleaned) + if match: + try: + return float(match.group(1)) + except ValueError: + return None + + return None + + +def parse_rating(rating_text: str) -> float | None: + """Parse rating like '4,5 sur 5 étoiles' or '4.5 out of 5 stars'""" + if not rating_text: + return None + + # Match patterns like "4,5" or "4.5" + match = re.search(r'(\d+[,.]\d+)', rating_text) + if match: + try: + return float(match.group(1).replace(',', '.')) + except ValueError: + return None + + return None + + +def parse_reviews_count(reviews_text: str) -> int | None: + """Parse review count like '1 234' or '12,345'""" + if not reviews_text: + return None + + # Remove non-digit characters except spaces + cleaned = re.sub(r'[^\d\s]', '', reviews_text) + cleaned = cleaned.replace(' ', '').replace('\xa0', '') + + try: + return int(cleaned) + except ValueError: + return None + + +# ============================================================================ +# SCRAPING FUNCTIONS +# ============================================================================ + +async def scrape_amazon_search(query: str, max_results: int = 20) -> list[AmazonProduct]: + """ + Scrape Amazon France search results for a given query. + + Anti-detection features: + 1. Random User-Agent from realistic pool + 2. Complete browser headers + 3. Random proxy from pool + 4. Random delays between operations + 5. Browser fingerprint randomization via Crawl4AI + 6. NetworkIdle waiting + 7. Cookie handling + + Args: + query: Search query + max_results: Maximum number of products to return (default 20) + + Returns: + List of AmazonProduct objects + """ + search_url = AMAZON_FR_SEARCH_URL.format(query=quote_plus(query)) + logger.info(f"🔍 Searching Amazon France: {query}") + logger.info(f"📍 URL: {search_url}") + + # Select random User-Agent + user_agent = random.choice(AMAZON_USER_AGENTS) + logger.debug(f"🎭 User-Agent: {user_agent[:50]}...") + + # Select random proxy + proxy = get_random_proxy() + if proxy: + logger.debug(f"🌐 Using proxy: {proxy['server']}") + else: + logger.warning("⚠️ No proxy available - may face rate limiting") + + # Configure Crawl4AI browser with anti-detection + browser_config = BrowserConfig( + headless=True, + verbose=False, + user_agent=user_agent, + proxy=proxy, + extra_args=[ + "--disable-blink-features=AutomationControlled", # Disable automation detection + "--disable-dev-shm-usage", + "--no-sandbox", + "--disable-gpu", + "--disable-setuid-sandbox", + "--disable-web-security", + "--disable-features=IsolateOrigins,site-per-process", + "--disable-infobars", + "--window-size=1920,1080", + "--start-maximized", + # Randomize viewport + f"--user-agent={user_agent}", + ], + ) + + # Configure crawler behavior + crawler_config = CrawlerRunConfig( + cache_mode=CacheMode.BYPASS, # Always fetch fresh data + wait_for_images=True, + process_iframes=False, + remove_overlay_elements=True, # Remove popups/modals + wait_until="networkidle", # Wait for all network requests + delay_before_return_html=2.0, # Extra wait for JS rendering + page_timeout=30000, # 30 seconds timeout + # Accept cookies automatically + js_code=""" + // Accept cookies if banner appears + const cookieButton = document.querySelector('#sp-cc-accept, button[id*="accept"]'); + if (cookieButton) { + cookieButton.click(); + } + """, + ) + + products = [] + + try: + # Add human-like delay before request + await random_delay(1.0, 2.5) + + async with AsyncWebCrawler(config=browser_config) as crawler: + logger.info("🚀 Launching browser...") + result = await crawler.arun(url=search_url, config=crawler_config) + + if not result.success: + logger.error(f"❌ Crawl failed: {result.error_message}") + return [] + + logger.info(f"✅ Page loaded successfully ({len(result.html)} bytes)") + + # Parse HTML with BeautifulSoup + soup = BeautifulSoup(result.html, 'html.parser') + + # Amazon uses data-component-type="s-search-result" for product cards + product_cards = soup.find_all('div', {'data-component-type': 's-search-result'}) + + if not product_cards: + logger.warning("⚠️ No products found - checking for CAPTCHA or blocks") + # Check for CAPTCHA + if 'captcha' in result.html.lower(): + logger.error("🚫 CAPTCHA detected - Amazon blocked the request") + elif 'robot' in result.html.lower() or 'bot' in result.html.lower(): + logger.error("🤖 Bot detection triggered") + else: + logger.warning("📦 Empty results - query may have no matches") + return [] + + logger.info(f"📦 Found {len(product_cards)} product cards") + + for idx, card in enumerate(product_cards): + if len(products) >= max_results: + break + + try: + # Extract ASIN (Amazon Standard Identification Number) + asin = card.get('data-asin', '') + if not asin: + continue + + # Check if sponsored + sponsored = bool(card.select_one('[data-component-type="sp-sponsored-result"]')) + + # Extract title + title_elem = card.select_one('h2 a span, h2 span') + if not title_elem: + continue + title = title_elem.get_text(strip=True) + + # Extract URL + link_elem = card.select_one('h2 a') + if not link_elem: + continue + href = link_elem.get('href', '') + product_url = f"{AMAZON_FR_BASE_URL}{href}" if href.startswith('/') else href + + # Extract price + price = None + original_price = None + + # Current price + price_elem = card.select_one('.a-price .a-offscreen') + if price_elem: + price = parse_amazon_price(price_elem.get_text(strip=True)) + + # Original price (if discounted) + original_price_elem = card.select_one('.a-price.a-text-price .a-offscreen') + if original_price_elem: + original_price = parse_amazon_price(original_price_elem.get_text(strip=True)) + + # Extract rating + rating = None + rating_elem = card.select_one('[aria-label*="étoile"], [aria-label*="star"]') + if rating_elem: + rating = parse_rating(rating_elem.get('aria-label', '')) + + # Extract reviews count + reviews_count = None + reviews_elem = card.select_one('[aria-label*="étoile"] + span, [aria-label*="star"] + span') + if reviews_elem: + reviews_count = parse_reviews_count(reviews_elem.get_text(strip=True)) + + # Extract image + image_url = None + img_elem = card.select_one('img.s-image') + if img_elem: + image_url = img_elem.get('src') or img_elem.get('data-src') + + # Check Prime eligibility + prime = bool(card.select_one('[aria-label*="Prime"], i.a-icon-prime')) + + # Check availability + in_stock = True + unavailable_elem = card.select_one('[aria-label*="Indisponible"], [aria-label*="Unavailable"]') + if unavailable_elem: + in_stock = False + + product = AmazonProduct( + title=title, + url=product_url, + price=price, + original_price=original_price, + rating=rating, + reviews_count=reviews_count, + image_url=image_url, + in_stock=in_stock, + prime=prime, + sponsored=sponsored, + ) + + products.append(product) + logger.debug(f" ✓ [{idx+1}] {title[:50]}... - {price}€") + + except Exception as e: + logger.error(f"❌ Error parsing product card {idx}: {e}") + continue + + logger.info(f"✅ Successfully extracted {len(products)} products") + + except Exception as e: + logger.error(f"❌ Error during Amazon scraping: {e}", exc_info=True) + return [] + + return products + + +async def scrape_amazon_search_batched( + query: str, + max_results: int = 20, + batch_size: int = 20 +) -> list[AmazonProduct]: + """ + Scrape Amazon with automatic pagination if needed. + + Note: For now, we just scrape the first page (20 results). + Pagination can be added later if needed. + + Args: + query: Search query + max_results: Maximum total results (default 20) + batch_size: Results per page (default 20) + + Returns: + List of AmazonProduct objects + """ + # For now, single page only + return await scrape_amazon_search(query, max_results) + + +# ============================================================================ +# TESTING / VERIFICATION +# ============================================================================ + +async def test_amazon_scraper(): + """Test the Amazon scraper with a simple query""" + logger.info("=" * 60) + logger.info("Testing Amazon France Scraper") + logger.info("=" * 60) + + test_query = "aspirateur" + products = await scrape_amazon_search(test_query, max_results=5) + + logger.info(f"\n📊 Results for '{test_query}':") + logger.info(f"Found {len(products)} products\n") + + for idx, product in enumerate(products, 1): + logger.info(f"{idx}. {product.title}") + logger.info(f" 💰 Price: {product.price}€" + (f" (was {product.original_price}€)" if product.original_price else "")) + logger.info(f" ⭐ Rating: {product.rating}/5 ({product.reviews_count} reviews)" if product.rating else " ⭐ No rating") + logger.info(f" 🔗 {product.url}") + logger.info(f" {'✅ Prime' if product.prime else '📦 Standard'} | {'📢 Sponsored' if product.sponsored else '🔍 Organic'}") + logger.info("") + + return products + + +if __name__ == "__main__": + # Run test + asyncio.run(test_amazon_scraper()) diff --git a/app/services/seed_enseignes.py b/app/services/seed_enseignes.py index ab78cb7..c789bb4 100644 --- a/app/services/seed_enseignes.py +++ b/app/services/seed_enseignes.py @@ -9,81 +9,9 @@ from app.models import Enseigne logger = logging.getLogger(__name__) -# Data for the 9 enseignes -ENSEIGNES_DATA = [ - { - "nom": "Gifi", - "slug_bonial": "Gifi", - "couleur": "#E30613", - "site_url": "https://www.gifi.fr", - "description": "Décoration, maison, bazar", - "ordre_affichage": 1, - }, - { - "nom": "Action", - "slug_bonial": "Action", - "couleur": "#0066B3", - "site_url": "https://www.action.com/fr-fr/", - "description": "Discount non-alimentaire", - "ordre_affichage": 2, - }, - { - "nom": "Centrakor", - "slug_bonial": "Centrakor", - "couleur": "#E94E1B", - "site_url": "https://www.centrakor.com", - "description": "Décoration, maison", - "ordre_affichage": 3, - }, - { - "nom": "La Foir'Fouille", - "slug_bonial": "La-Foir-Fouille", - "couleur": "#009639", - "site_url": "https://www.lafoirfouille.fr", - "description": "Bazar, décoration", - "ordre_affichage": 4, - }, - { - "nom": "Stokomani", - "slug_bonial": "Stokomani", - "couleur": "#FF6600", - "site_url": "https://www.stokomani.fr", - "description": "Déstockage textile et maison", - "ordre_affichage": 5, - }, - { - "nom": "B&M", - "slug_bonial": "BM", - "couleur": "#D4145A", - "site_url": "https://bmstores.fr", - "description": "Discount britannique", - "ordre_affichage": 6, - }, - { - "nom": "L'Incroyable", - "slug_bonial": "L-incroyable", - "couleur": "#8B0000", - "site_url": "https://www.lincroyable.fr", - "description": "Décoration et mobilier discount (Groupe Althys, siège à Denain)", - "ordre_affichage": 7, - }, - { - "nom": "Bazarland", - "slug_bonial": "Bazarland", - "couleur": "#FFCC00", - "site_url": None, - "description": "Bazar discount", - "ordre_affichage": 8, - }, - { - "nom": "Noz", - "slug_bonial": "Noz", - "couleur": "#003366", - "site_url": "https://www.noz.fr", - "description": "Déstockage généraliste", - "ordre_affichage": 9, - }, -] +# Liste des enseignes vidée - migration vers Amazon France uniquement +# Les magasins discount ne sont plus gérés via le système de catalogues +ENSEIGNES_DATA = [] def seed_enseignes(db: Session) -> int: diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx index eef1c9f..134d986 100644 --- a/frontend/src/App.jsx +++ b/frontend/src/App.jsx @@ -5,6 +5,7 @@ import Layout from '@/components/layout/Layout' import Dashboard from '@/pages/Dashboard' import Search from '@/pages/Search' import MultiSearch from '@/pages/MultiSearch' +import AmazonSearch from '@/pages/AmazonSearch' import Catalogues from '@/pages/Catalogues' import Login from '@/pages/Login' import Admin from '@/pages/Admin' @@ -78,6 +79,7 @@ function AppRoutes() { } /> } /> } /> + } /> } /> { const navItems = [ { icon: LayoutDashboard, label: t('nav.dashboard'), path: '/' }, { icon: Search, label: t('nav.search') || 'Recherche', path: '/search' }, + { icon: ShoppingBag, label: 'Amazon France', path: '/amazon' }, { icon: TrendingUp, label: 'Comparateur', path: '/compare' }, { icon: BookOpen, label: 'Catalogues', path: '/catalogues' }, ]; diff --git a/frontend/src/pages/AmazonSearch.jsx b/frontend/src/pages/AmazonSearch.jsx new file mode 100644 index 0000000..95b0ea4 --- /dev/null +++ b/frontend/src/pages/AmazonSearch.jsx @@ -0,0 +1,323 @@ +import React, { useState, useRef } from 'react'; +import { toast } from 'sonner'; +import { useTranslation } from 'react-i18next'; +import { Search as SearchIcon, Loader2, Star, ShoppingCart, ExternalLink, Tag } from 'lucide-react'; +import { Button } from '@/components/ui/button'; +import { Input } from '@/components/ui/input'; +import { Card, CardContent } from '@/components/ui/card'; +import { Progress } from '@/components/ui/progress'; +import { Badge } from '@/components/ui/badge'; + +const API_URL = '/api'; + +export default function AmazonSearch() { + const { t } = useTranslation(); + const [query, setQuery] = useState(''); + const [isSearching, setIsSearching] = useState(false); + const [progress, setProgress] = useState(null); + const [results, setResults] = useState([]); + const eventSourceRef = useRef(null); + + const handleSearch = async (e) => { + e.preventDefault(); + if (!query.trim()) { + toast.error('Veuillez entrer un terme de recherche'); + return; + } + + // Fermer l'EventSource précédent si existant + if (eventSourceRef.current) { + eventSourceRef.current.close(); + } + + setIsSearching(true); + setResults([]); + setProgress({ status: 'searching', total: 1, completed: 0 }); + + // Construire l'URL avec les paramètres + const params = new URLSearchParams({ + q: query.trim(), + max_results: 20, + }); + + // Créer l'EventSource pour SSE + const eventSource = new EventSource(`${API_URL}/amazon/search?${params}`); + eventSourceRef.current = eventSource; + + eventSource.addEventListener('progress', (event) => { + try { + const data = JSON.parse(event.data); + setProgress(data); + setResults(data.results || []); + + if (data.status === 'completed' || data.status === 'error') { + setIsSearching(false); + eventSource.close(); + + if (data.status === 'completed') { + toast.success(data.message); + } else if (data.message) { + toast.error(data.message); + } + } + } catch (error) { + console.error('Error parsing SSE data:', error); + } + }); + + eventSource.onerror = () => { + setIsSearching(false); + eventSource.close(); + toast.error('Erreur de connexion au serveur'); + }; + }; + + const progressPercent = progress + ? Math.round((progress.completed / Math.max(progress.total, 1)) * 100) + : 0; + + const formatPrice = (price, originalPrice) => { + if (!price) return 'Prix indisponible'; + + const formattedPrice = price.toFixed(2); + if (originalPrice && originalPrice > price) { + const discount = Math.round(((originalPrice - price) / originalPrice) * 100); + return ( +
+ {formattedPrice}€ + {originalPrice.toFixed(2)}€ + -{discount}% +
+ ); + } + return {formattedPrice}€; + }; + + const renderRating = (rating, reviewsCount) => { + if (!rating) return null; + + return ( +
+
+ {[...Array(5)].map((_, i) => ( + + ))} +
+ {rating.toFixed(1)} + {reviewsCount && ( + + ({reviewsCount.toLocaleString('fr-FR')}) + + )} +
+ ); + }; + + return ( +
+ {/* Header */} +
+
+
+

Amazon France

+ + 🇫🇷 France + +
+

+ Recherchez parmi des millions de produits sur Amazon.fr +

+
+
+ + {/* Search Form */} + + +
+
+
+ + setQuery(e.target.value)} + className="pl-9" + disabled={isSearching} + /> +
+ +
+ + {/* Info */} +
+
+
+ Anti-détection activé +
+ • + Max 20 résultats +
+
+ + + + {/* Progress Bar */} + {progress && isSearching && ( + + +
+
+ {progress.message || 'Recherche en cours...'} + {progressPercent}% +
+ +
+ + + )} + + {/* Results */} + {results.length > 0 && ( +
+
+

+ {results.length} produit{results.length > 1 ? 's' : ''} trouvé{results.length > 1 ? 's' : ''} +

+
+
+ {results.map((product, index) => ( + + + {/* Image */} + {product.image_url && ( +
+ {product.title} + {product.sponsored && ( + + Sponsorisé + + )} + {!product.in_stock && ( + + Indisponible + + )} +
+ )} + +
+ {/* Title */} +

+ {product.title} +

+ + {/* Rating */} + {renderRating(product.rating, product.reviews_count)} + + {/* Price */} +
+ {formatPrice(product.price, product.original_price)} +
+ + {/* Badges */} +
+ {product.prime && ( + + Prime + + )} + {product.in_stock && ( + + En stock + + )} +
+ + {/* Actions */} +
+ + +
+
+ + + ))} +
+
+ )} + + {/* Empty State */} + {!isSearching && results.length === 0 && !progress && ( + + +
+ +
+

Recherchez sur Amazon France

+

+ Entrez un terme de recherche pour trouver des produits sur Amazon.fr. + Notre système anti-détection garantit un accès fiable aux résultats. +

+ + + )} + + {/* No Results */} + {!isSearching && results.length === 0 && progress?.status === 'completed' && ( + + + +

Aucun produit trouvé

+

+ Essayez avec d'autres termes de recherche +

+ + + )} +
+ ); +}