fix: Add extract_text parameter to fix broken product search

**Problem:**
Previous commit changed get_page_content() to always return visible text (inner_text)
instead of HTML source. This broke product search which uses BeautifulSoup to parse
HTML with CSS selectors. Search was returning 0 results for all sites.

**Root Cause:**
- Search service uses: `soup.select(config["product_selector"])` on HTML
- But was receiving plain text instead of HTML structure
- BeautifulSoup couldn't find any product links → 0 results

**Solution: Add extract_text parameter**

Modified `get_page_content()` signature:
```python
async def get_page_content(
    url: str,
    use_proxy: bool = False,
    wait_selector: str = None,
    extract_text: bool = False  # NEW parameter
) -> tuple[str, str]:
```

**Behavior:**
- `extract_text=False` (DEFAULT): Returns HTML source via `page.content()`
  → Used by search service for BeautifulSoup parsing

- `extract_text=True`: Returns visible text via `page.inner_text('body')`
  → Used by AI monitoring for price extraction
  → Includes Amazon price prepending ("PRIX DÉTECTÉ: ...")

**Changes:**

1. **browserless_service.py** (Lines 197-329)
   - Added `extract_text` parameter with default `False`
   - Conditional logic: if extract_text, use inner_text + Amazon extraction
   - Else: use page.content() (HTML source)
   - Preserves backward compatibility (default = HTML)

2. **scheduler_service.py** (Line 113)
   - Added `extract_text=True` for AI monitoring
   - Ensures AI gets visible text with Amazon prices

3. **search_service.py** (Line 104)
   - Added `extract_text=True` for scrape_item() AI analysis
   - Search itself uses default (HTML) for BeautifulSoup parsing

**Impact:**
✅ Search now works again (gets HTML for BeautifulSoup)
✅ AI monitoring gets visible text (better extraction)
✅ Amazon price extraction only runs when extract_text=True
✅ Backward compatible (default behavior = HTML)

Fixes issue where all searches returned: "Found 0 results for [site]"

app/services/browserless_service.py

@@ -194,10 +194,24 @@ class BrowserlessService:
         logger.warning("Could not extract Amazon price with any selector")
         return ""
 
-    async def get_page_content(self, url: str, use_proxy: bool = False, wait_selector: str = None) -> tuple[str, str]:
+    async def get_page_content(
+        self,
+        url: str,
+        use_proxy: bool = False,
+        wait_selector: str = None,
+        extract_text: bool = False
+    ) -> tuple[str, str]:
         """
         Fetch page content with full stealth lifecycle.
-        Returns (html_content, screenshot_path)
+
+        Args:
+            url: URL to fetch
+            use_proxy: Whether to use proxy rotation
+            wait_selector: CSS selector to wait for before capturing
+            extract_text: If True, returns visible text; if False, returns HTML source
+
+        Returns:
+            (content, screenshot_path) where content is either HTML or visible text
         """
         context = await self.get_context(use_proxy=use_proxy)
         page = await context.new_page()
@@ -291,23 +305,28 @@ class BrowserlessService:
             except Exception:
                 pass
 
-            # Extract visible text instead of raw HTML
+            # Extract content based on extract_text parameter
-            # This gets the text as rendered by JavaScript, not the HTML source
+            if extract_text:
-            try:
+                # Extract visible text for AI analysis (monitoring use case)
-                content = await page.inner_text('body')
+                try:
-                logger.info(f"Extracted {len(content)} chars of visible text from page")
+                    content = await page.inner_text('body')
-            except Exception as e:
+                    logger.info(f"Extracted {len(content)} chars of visible text from page")
-                # Fallback to HTML content if inner_text fails
+                except Exception as e:
-                logger.warning(f"Failed to extract inner_text, falling back to HTML: {e}")
+                    # Fallback to HTML content if inner_text fails
-                content = await page.content()
+                    logger.warning(f"Failed to extract inner_text, falling back to HTML: {e}")
+                    content = await page.content()
 
-            # For Amazon, extract price directly and prepend to content
+                # For Amazon, extract price directly and prepend to content
-            # This helps AI by providing explicit price information
+                # This helps AI by providing explicit price information
-            if "amazon" in url.lower() and "/dp/" in url:
+                if "amazon" in url.lower() and "/dp/" in url:
-                amazon_price_text = await self._extract_amazon_price(page)
+                    amazon_price_text = await self._extract_amazon_price(page)
-                if amazon_price_text:
+                    if amazon_price_text:
-                    content = f"PRIX DÉTECTÉ: {amazon_price_text}\n\n{content}"
+                        content = f"PRIX DÉTECTÉ: {amazon_price_text}\n\n{content}"
-                    logger.info(f"Prepended Amazon price to content: {amazon_price_text}")
+                        logger.info(f"Prepended Amazon price to content: {amazon_price_text}")
+            else:
+                # Extract raw HTML for parsing (search use case)
+                content = await page.content()
+                logger.debug(f"Extracted {len(content)} chars of HTML from page")
 
             
             # Take screenshot if needed for AI analysis

app/services/scheduler_service.py

@@ -105,10 +105,12 @@ async def process_item_check(item_id: int):
         logger.info(f"Checking item: {item_data['name']} ({item_data['url']})")
         # Use new browserless service
         # Note: smart_scroll is handled internally by browserless_service
+        # extract_text=True to get visible text for AI analysis (not HTML)
         page_text, screenshot_path = await browserless_service.get_page_content(
             item_data["url"],
             use_proxy="amazon" in item_data["url"], # Simple heuristic for now
-            wait_selector=item_data["selector"]
+            wait_selector=item_data["selector"],
+            extract_text=True  # Get visible text for AI, not raw HTML
         )
         
         # Determine availability based on content presence

app/services/search_service.py

@@ -96,10 +96,12 @@ class NewSearchService:
             use_proxy = config.get("requires_proxy", False) if config else False
 
             # Use browserless to get content and screenshot
-            html, screenshot_path = await browserless_service.get_page_content(
+            # extract_text=True to get visible text for AI analysis
+            page_text, screenshot_path = await browserless_service.get_page_content(
                 result.url,
                 use_proxy=use_proxy,
-                wait_selector=None 
+                wait_selector=None,
+                extract_text=True  # Get visible text for AI price extraction
             )
 
             if not screenshot_path:
@@ -107,7 +109,7 @@ class NewSearchService:
 
             # Use AI to analyze
             from app.services.ai_service import AIService
-            ai_result = await AIService.analyze_image(screenshot_path, page_text=html)
+            ai_result = await AIService.analyze_image(screenshot_path, page_text=page_text)
             
             if ai_result:
                 extraction, _ = ai_result