feat: implement Amazon scraper service using Playwright with persistent browser connection and anti-detection techniques.

This commit is contained in:
Michael committed 2025-12-24 22:49:02 +01:00
1 parent cd18b47bc0
commit 3a7dcd16ed
1 file changed
+195 -58
+195 -58
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@@ -308,6 +308,150 @@ class AmazonScraperService:
except Exception:
pass
@classmethod
async def _extract_products_from_visible_dom(cls, page: Page, max_results: int) -> list["AmazonProduct"]:
"""
FALLBACK: Extract products using Playwright's visible DOM methods.
This works even when HTML parsing fails because it reads directly from rendered elements.
"""
logger.info("🔄 Attempting fallback extraction from visible DOM...")
products = []
try:
# Find all product cards using Playwright locators
product_cards = page.locator('div[data-component-type="s-search-result"]')
count = await product_cards.count()
if count == 0:
# Try alternative selector
product_cards = page.locator("div[data-asin][data-index]")
count = await product_cards.count()
logger.info(f"📦 Found {count} visible product cards")
for idx in range(min(count, max_results)):
try:
card = product_cards.nth(idx)
# Get ASIN
asin = await card.get_attribute("data-asin")
if not asin:
continue
# Check if sponsored
sponsored = await card.locator('[data-component-type="sp-sponsored-result"]').count() > 0
# Get title - try multiple selectors
title = None
for selector in ["h2 a span", "h2 span", "h2.s-line-clamp-2 span"]:
title_elem = card.locator(selector).first
if await title_elem.count() > 0:
title = await title_elem.inner_text()
if title:
title = title.strip()
break
if not title:
continue
# Get URL
url = None
link_elem = card.locator("h2 a").first
if await link_elem.count() > 0:
href = await link_elem.get_attribute("href")
if href and href != "#":
if href.startswith("/"):
url = f"{AMAZON_FR_BASE_URL}{href}"
elif href.startswith("http"):
url = href
if not url:
continue
# Get price - try multiple selectors
price = None
for selector in [".a-price .a-offscreen", ".a-price-whole", "span.a-price span.a-offscreen"]:
price_elem = card.locator(selector).first
if await price_elem.count() > 0:
try:
price_text = await price_elem.inner_text()
price = parse_amazon_price(price_text)
if price:
break
except Exception:
pass
# Get original price
original_price = None
orig_price_elem = card.locator(".a-price.a-text-price .a-offscreen").first
if await orig_price_elem.count() > 0:
try:
orig_text = await orig_price_elem.inner_text()
original_price = parse_amazon_price(orig_text)
except Exception:
pass
# Get rating
rating = None
for selector in ['[aria-label*="étoile"]', '[aria-label*="star"]']:
rating_elem = card.locator(selector).first
if await rating_elem.count() > 0:
try:
aria_label = await rating_elem.get_attribute("aria-label")
rating = parse_rating(aria_label or "")
if rating:
break
except Exception:
pass
# Get reviews count
reviews_count = None
reviews_elem = card.locator("span.s-underline-text").first
if await reviews_elem.count() > 0:
try:
reviews_text = await reviews_elem.inner_text()
reviews_count = parse_reviews_count(reviews_text)
except Exception:
pass
# Get image URL
image_url = None
img_elem = card.locator("img.s-image").first
if await img_elem.count() > 0:
image_url = await img_elem.get_attribute("src")
# Check Prime
prime = await card.locator('[aria-label*="Prime"], i.a-icon-prime').count() > 0
# Check stock
in_stock = await card.locator('[aria-label*="Indisponible"]').count() == 0
product = AmazonProduct(
title=title,
url=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" ✓ DOM [{len(products)}] {title[:40]}... - {price}€")
except Exception as e:
logger.warning(f"Error extracting product {idx} from DOM: {e}")
continue
logger.info(f"✅ DOM fallback extracted {len(products)} products")
except Exception as e:
logger.error(f"❌ DOM fallback extraction failed: {e}")
return products
@classmethod
async def scrape_search(cls, query: str, max_results: int = 50) -> list[AmazonProduct]:
"""
@@ -364,7 +508,7 @@ class AmazonScraperService:
@classmethod
async def _try_scrape(cls, query: str, max_results: int, proxy: dict | None, attempt: int) -> list[AmazonProduct]:
"""Single scrape attempt with given identity"""
"""Single scrape attempt with given identity - OPTIMIZED for immediate extraction"""
search_url = AMAZON_FR_SEARCH_URL.format(query=quote_plus(query))
products = []
@@ -375,17 +519,14 @@ class AmazonScraperService:
try:
# CRITICAL: Load Amazon homepage FIRST in same context to establish session
logger.info("🏠 Loading Amazon homepage to establish session/cookies...")
await page.goto("https://www.amazon.fr", wait_until="networkidle", timeout=30000)
await page.goto("https://www.amazon.fr", wait_until="domcontentloaded", timeout=30000)
logger.info("✅ Homepage loaded")
# Handle homepage popups
# Handle homepage popups quickly
await cls._handle_popups(page)
# Simulate human behavior on homepage
await cls._simulate_human_behavior(page)
# Small delay
await asyncio.sleep(random.uniform(1.0, 3.0))
# Minimal delay - just enough to seem human
await asyncio.sleep(random.uniform(0.5, 1.0))
# NOW interact with the search bar naturally
try:
@@ -400,10 +541,10 @@ class AmazonScraperService:
await search_input.click()
await search_input.fill("")
# Type slowly like a human
await search_input.type(query, delay=100)
# Type with moderate speed (not too slow, not instant)
await search_input.type(query, delay=50)
await asyncio.sleep(random.uniform(0.5, 1.5))
await asyncio.sleep(random.uniform(0.2, 0.5))
# Click search button
submit_selector = "#nav-search-submit-button"
@@ -418,50 +559,26 @@ class AmazonScraperService:
logger.info(f"🔍 Navigating to search: {search_url}")
await page.goto(search_url, wait_until="domcontentloaded", timeout=60000)
logger.info("Page loaded (domcontentloaded)")
# Wait for content or block
# Wait for search results to appear
try:
await page.wait_for_selector(
'div[data-component-type="s-search-result"], .s-result-list', timeout=10000
'div[data-component-type="s-search-result"], .s-result-list', timeout=15000
)
logger.info("✅ Search results detected")
# CRITICAL: Wait for page to fully stabilize before extraction
# Amazon's JS may redirect after initial content loads
await asyncio.sleep(random.uniform(2.0, 4.0))
# Check if URL has changed (login redirect)
current_url = page.url
if "ap/signin" in current_url or "ap/register" in current_url:
logger.warning(f"⚠️ Redirected to login page: {current_url}")
return []
# Wait for network to be idle (no pending requests)
try:
await page.wait_for_load_state("networkidle", timeout=5000)
except Exception:
pass # Timeout is acceptable, we just want to give it a chance
# Simulate more human behavior to appear natural
await cls._simulate_human_behavior(page)
# Another small delay before extraction
await asyncio.sleep(random.uniform(1.0, 2.0))
except Exception:
logger.warning("🕒 Search results not found immediately, checking for blocks...")
# Re-check URL before extraction
# CRITICAL FIX: Extract HTML IMMEDIATELY before Amazon's bot detection kicks in
# Do NOT wait for networkidle or add delays here - that gives Amazon time to detect us
html_content = await page.content()
current_url = page.url
# Quick URL check for immediate redirects
if "ap/signin" in current_url or "ap/register" in current_url:
logger.warning(f"⚠️ Redirected to login page before extraction: {current_url}")
logger.warning(f"⚠️ Redirected to login page: {current_url}")
return []
# Get HTML
html_content = await page.content()
# Proactive block detection
# Check for CAPTCHA
if (
"Type the characters you see in this image" in html_content
or "Saisissez les caractères que vous voyez" in html_content
@@ -469,21 +586,31 @@ class AmazonScraperService:
logger.error("🚫 CAPTCHA / Bot detection triggered")
return []
# Check for login wall in content
if "Identifiez-vous" in html_content and "commander" not in html_content:
logger.warning("⚠️ Redirected to login wall")
# Save screenshot for debugging
try:
debug_path = "/tmp/amazon_login_wall.png"
await page.screenshot(path=debug_path)
logger.info(f"📸 Saved debug screenshot to {debug_path}")
except Exception:
pass
return []
# Double-check: maybe we grabbed content too early, try once more after a tiny wait
await asyncio.sleep(0.5)
html_content = await page.content()
if "Identifiez-vous" in html_content and "commander" not in html_content:
logger.warning("⚠️ Login wall detected in page content")
try:
debug_path = "/tmp/amazon_login_wall.png"
await page.screenshot(path=debug_path)
logger.info(f"📸 Saved debug screenshot to {debug_path}")
except Exception:
pass
return []
logger.info(f"✅ Page content extracted ({len(html_content)} bytes)")
if len(html_content) < 10000:
logger.error(f"❌ Page too small - likely blocked")
logger.warning(f"⚠️ Page too small ({len(html_content)} bytes) - trying DOM fallback")
# Try DOM fallback before giving up
products = await cls._extract_products_from_visible_dom(page, max_results)
if products:
return products
logger.error("❌ DOM fallback also failed")
return []
# Parse with BeautifulSoup
@@ -493,14 +620,19 @@ class AmazonScraperService:
product_cards = soup.find_all("div", {"data-component-type": "s-search-result"})
if not product_cards:
# Try alternative
# Try alternative selector
product_cards = soup.find_all("div", {"data-asin": True, "data-index": True})
if not product_cards:
logger.warning("⚠️ No products found")
# Check for blocks
logger.warning("⚠️ No products found in HTML - trying DOM fallback")
# Check for blocks first
if "503" in html_content or "robot" in html_content.lower():
logger.error("🚫 Amazon blocked request")
logger.error("🚫 Amazon blocked request (503/robot)")
return []
# Try DOM fallback
products = await cls._extract_products_from_visible_dom(page, max_results)
if products:
return products
return []
logger.info(f"📦 Found {len(product_cards)} product cards")
@@ -519,6 +651,11 @@ class AmazonScraperService:
logger.error(f"Error parsing card {idx}: {e}")
continue
# If BeautifulSoup extracted nothing useful, try DOM fallback
if not products:
logger.warning("⚠️ BeautifulSoup extraction returned no products - trying DOM fallback")
products = await cls._extract_products_from_visible_dom(page, max_results)
logger.info(f"✅ Successfully extracted {len(products)} products")
finally: