mirror of
https://github.com/R0m1k3/Priceflow.git
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Merge pull request #256 from R0m1k3/antigravity
feat: implement Amazon scraper service using Playwright with persiste…
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1 file changed
+195
-58
@@ -308,6 +308,150 @@ class AmazonScraperService:
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except Exception:
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pass
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@classmethod
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async def _extract_products_from_visible_dom(cls, page: Page, max_results: int) -> list["AmazonProduct"]:
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"""
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FALLBACK: Extract products using Playwright's visible DOM methods.
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This works even when HTML parsing fails because it reads directly from rendered elements.
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"""
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logger.info("🔄 Attempting fallback extraction from visible DOM...")
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products = []
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try:
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# Find all product cards using Playwright locators
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product_cards = page.locator('div[data-component-type="s-search-result"]')
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count = await product_cards.count()
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if count == 0:
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# Try alternative selector
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product_cards = page.locator("div[data-asin][data-index]")
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count = await product_cards.count()
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logger.info(f"📦 Found {count} visible product cards")
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for idx in range(min(count, max_results)):
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try:
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card = product_cards.nth(idx)
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# Get ASIN
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asin = await card.get_attribute("data-asin")
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if not asin:
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continue
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# Check if sponsored
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sponsored = await card.locator('[data-component-type="sp-sponsored-result"]').count() > 0
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# Get title - try multiple selectors
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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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title_elem = card.locator(selector).first
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if await title_elem.count() > 0:
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title = await title_elem.inner_text()
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if title:
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title = title.strip()
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break
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if not title:
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continue
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# Get URL
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url = None
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link_elem = card.locator("h2 a").first
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if await link_elem.count() > 0:
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href = await link_elem.get_attribute("href")
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if href and href != "#":
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if href.startswith("/"):
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url = f"{AMAZON_FR_BASE_URL}{href}"
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elif href.startswith("http"):
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url = href
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if not url:
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continue
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# Get price - try multiple selectors
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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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price_elem = card.locator(selector).first
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if await price_elem.count() > 0:
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try:
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price_text = await price_elem.inner_text()
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price = parse_amazon_price(price_text)
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if price:
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break
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except Exception:
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pass
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# Get original price
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original_price = None
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orig_price_elem = card.locator(".a-price.a-text-price .a-offscreen").first
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if await orig_price_elem.count() > 0:
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try:
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orig_text = await orig_price_elem.inner_text()
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original_price = parse_amazon_price(orig_text)
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except Exception:
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pass
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# Get rating
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rating = None
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for selector in ['[aria-label*="étoile"]', '[aria-label*="star"]']:
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rating_elem = card.locator(selector).first
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if await rating_elem.count() > 0:
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try:
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aria_label = await rating_elem.get_attribute("aria-label")
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rating = parse_rating(aria_label or "")
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if rating:
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break
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except Exception:
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pass
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# Get reviews count
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reviews_count = None
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reviews_elem = card.locator("span.s-underline-text").first
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if await reviews_elem.count() > 0:
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try:
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reviews_text = await reviews_elem.inner_text()
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reviews_count = parse_reviews_count(reviews_text)
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except Exception:
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pass
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# Get image URL
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image_url = None
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img_elem = card.locator("img.s-image").first
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if await img_elem.count() > 0:
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image_url = await img_elem.get_attribute("src")
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# Check Prime
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prime = await card.locator('[aria-label*="Prime"], i.a-icon-prime').count() > 0
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# Check stock
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in_stock = await card.locator('[aria-label*="Indisponible"]').count() == 0
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product = AmazonProduct(
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title=title,
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url=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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products.append(product)
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logger.debug(f" ✓ DOM [{len(products)}] {title[:40]}... - {price}€")
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except Exception as e:
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logger.warning(f"Error extracting product {idx} from DOM: {e}")
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continue
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logger.info(f"✅ DOM fallback extracted {len(products)} products")
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except Exception as e:
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logger.error(f"❌ DOM fallback extraction failed: {e}")
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return products
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@classmethod
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async def scrape_search(cls, query: str, max_results: int = 50) -> list[AmazonProduct]:
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"""
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@@ -364,7 +508,7 @@ class AmazonScraperService:
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@classmethod
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async def _try_scrape(cls, query: str, max_results: int, proxy: dict | None, attempt: int) -> list[AmazonProduct]:
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"""Single scrape attempt with given identity"""
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"""Single scrape attempt with given identity - OPTIMIZED for immediate extraction"""
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search_url = AMAZON_FR_SEARCH_URL.format(query=quote_plus(query))
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products = []
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@@ -375,17 +519,14 @@ class AmazonScraperService:
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try:
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# CRITICAL: Load Amazon homepage FIRST in same context to establish session
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logger.info("🏠 Loading Amazon homepage to establish session/cookies...")
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await page.goto("https://www.amazon.fr", wait_until="networkidle", timeout=30000)
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await page.goto("https://www.amazon.fr", wait_until="domcontentloaded", timeout=30000)
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logger.info("✅ Homepage loaded")
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# Handle homepage popups
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# Handle homepage popups quickly
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await cls._handle_popups(page)
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# Simulate human behavior on homepage
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await cls._simulate_human_behavior(page)
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# Small delay
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await asyncio.sleep(random.uniform(1.0, 3.0))
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# Minimal delay - just enough to seem human
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await asyncio.sleep(random.uniform(0.5, 1.0))
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# NOW interact with the search bar naturally
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try:
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@@ -400,10 +541,10 @@ class AmazonScraperService:
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await search_input.click()
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await search_input.fill("")
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# Type slowly like a human
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await search_input.type(query, delay=100)
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# Type with moderate speed (not too slow, not instant)
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await search_input.type(query, delay=50)
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await asyncio.sleep(random.uniform(0.5, 1.5))
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await asyncio.sleep(random.uniform(0.2, 0.5))
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# Click search button
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submit_selector = "#nav-search-submit-button"
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@@ -418,50 +559,26 @@ class AmazonScraperService:
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logger.info(f"🔍 Navigating to search: {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 content or block
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# Wait for search results to appear
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try:
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await page.wait_for_selector(
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'div[data-component-type="s-search-result"], .s-result-list', timeout=10000
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'div[data-component-type="s-search-result"], .s-result-list', timeout=15000
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)
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logger.info("✅ Search results detected")
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# CRITICAL: Wait for page to fully stabilize before extraction
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# Amazon's JS may redirect after initial content loads
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await asyncio.sleep(random.uniform(2.0, 4.0))
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# Check if URL has changed (login redirect)
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current_url = page.url
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if "ap/signin" in current_url or "ap/register" in current_url:
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logger.warning(f"⚠️ Redirected to login page: {current_url}")
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return []
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# Wait for network to be idle (no pending requests)
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try:
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await page.wait_for_load_state("networkidle", timeout=5000)
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except Exception:
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pass # Timeout is acceptable, we just want to give it a chance
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# Simulate more human behavior to appear natural
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await cls._simulate_human_behavior(page)
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# Another small delay before extraction
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await asyncio.sleep(random.uniform(1.0, 2.0))
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except Exception:
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logger.warning("🕒 Search results not found immediately, checking for blocks...")
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# Re-check URL before extraction
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# CRITICAL FIX: Extract HTML IMMEDIATELY before Amazon's bot detection kicks in
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# Do NOT wait for networkidle or add delays here - that gives Amazon time to detect us
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html_content = await page.content()
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current_url = page.url
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# Quick URL check for immediate redirects
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if "ap/signin" in current_url or "ap/register" in current_url:
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logger.warning(f"⚠️ Redirected to login page before extraction: {current_url}")
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logger.warning(f"⚠️ Redirected to login page: {current_url}")
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return []
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# Get HTML
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html_content = await page.content()
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# Proactive block detection
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# Check for CAPTCHA
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if (
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"Type the characters you see in this image" in html_content
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or "Saisissez les caractères que vous voyez" in html_content
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@@ -469,21 +586,31 @@ class AmazonScraperService:
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logger.error("🚫 CAPTCHA / Bot detection triggered")
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return []
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# Check for login wall in content
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if "Identifiez-vous" in html_content and "commander" not in html_content:
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logger.warning("⚠️ Redirected to login wall")
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# Save screenshot for debugging
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try:
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debug_path = "/tmp/amazon_login_wall.png"
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await page.screenshot(path=debug_path)
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logger.info(f"📸 Saved debug screenshot to {debug_path}")
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except Exception:
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pass
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return []
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# Double-check: maybe we grabbed content too early, try once more after a tiny wait
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await asyncio.sleep(0.5)
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html_content = await page.content()
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if "Identifiez-vous" in html_content and "commander" not in html_content:
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logger.warning("⚠️ Login wall detected in page content")
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try:
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debug_path = "/tmp/amazon_login_wall.png"
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await page.screenshot(path=debug_path)
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logger.info(f"📸 Saved debug screenshot to {debug_path}")
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except Exception:
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pass
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return []
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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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logger.warning(f"⚠️ Page too small ({len(html_content)} bytes) - trying DOM fallback")
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# Try DOM fallback before giving up
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products = await cls._extract_products_from_visible_dom(page, max_results)
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if products:
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return products
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logger.error("❌ DOM fallback also failed")
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return []
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# Parse with BeautifulSoup
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@@ -493,14 +620,19 @@ class AmazonScraperService:
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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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# Try alternative selector
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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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logger.warning("⚠️ No products found in HTML - trying DOM fallback")
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# Check for blocks first
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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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logger.error("🚫 Amazon blocked request (503/robot)")
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return []
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# Try DOM fallback
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products = await cls._extract_products_from_visible_dom(page, max_results)
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if products:
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return products
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return []
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logger.info(f"📦 Found {len(product_cards)} product cards")
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@@ -519,6 +651,11 @@ class AmazonScraperService:
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logger.error(f"Error parsing card {idx}: {e}")
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continue
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# If BeautifulSoup extracted nothing useful, try DOM fallback
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if not products:
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logger.warning("⚠️ BeautifulSoup extraction returned no products - trying DOM fallback")
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products = await cls._extract_products_from_visible_dom(page, max_results)
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logger.info(f"✅ Successfully extracted {len(products)} products")
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finally:
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