Add browser fingerprint support and analytics metadata display

- Transfer user's browser fingerprint (user-agent, viewport, timezone,
  language, geolocation) to Chrome for more authentic scraping
- Display review topics from Google Maps in analytics dashboard
- Show business category badge in analytics header
- Fix date_text null handling in analytics (handle undefined/timestamp fields)
- Add review_topics and business_category to JobStatus interface

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Dockerfile

@@ -39,6 +39,13 @@ RUN apt-get update \
     && apt-get install -y chromium chromium-driver \
     && rm -rf /var/lib/apt/lists/*
 
+# Install VNC server and noVNC (browser-based VNC viewer)
+RUN apt-get update && apt-get install -y \
+    x11vnc \
+    novnc \
+    websockify \
+    && rm -rf /var/lib/apt/lists/*
+
 # Set working directory
 WORKDIR /app
 
@@ -51,7 +58,7 @@ COPY modules/ ./modules/
 COPY api_server_production.py .
 COPY config.yaml .
 
-# Create startup script for Xvfb + API server
+# Create startup script for Xvfb + VNC + API server
 RUN echo '#!/bin/bash\n\
 # Start Xvfb (virtual display) in background\n\
 Xvfb :99 -screen 0 1920x1080x24 -ac +extension GLX +render -noreset &\n\
@@ -60,6 +67,15 @@ export DISPLAY=:99\n\
 # Wait for Xvfb to start\n\
 sleep 2\n\
 \n\
+# Start VNC server (no password for local dev, binds to all interfaces)\n\
+x11vnc -display :99 -forever -shared -rfbport 5900 -nopw -bg\n\
+\n\
+# Start noVNC websocket proxy (browser access at http://localhost:6080/vnc.html)\n\
+websockify --web=/usr/share/novnc/ 6080 localhost:5900 &\n\
+\n\
+echo "VNC server running on port 5900"\n\
+echo "noVNC web interface at http://localhost:6080/vnc.html"\n\
+\n\
 # Start API server\n\
 exec python api_server_production.py\n\
 ' > /app/start.sh && chmod +x /app/start.sh
@@ -71,8 +87,8 @@ RUN useradd -m -u 1000 scraper && \
 
 USER scraper
 
-# Expose port
-EXPOSE 8000
+# Expose ports: API (8000), VNC (5900), noVNC web (6080)
+EXPOSE 8000 5900 6080
 
 # Environment variables for Chromium in container
 ENV DISPLAY=:99

api_server_production.py

@@ -133,12 +133,36 @@ app.add_middleware(
 
 # ==================== Request/Response Models ====================
 
+class GeolocationModel(BaseModel):
+    """Geolocation coordinates"""
+    lat: float = Field(..., description="Latitude")
+    lng: float = Field(..., description="Longitude")
+
+
+class ViewportModel(BaseModel):
+    """Browser viewport size"""
+    width: int = Field(..., description="Viewport width")
+    height: int = Field(..., description="Viewport height")
+
+
+class BrowserFingerprintModel(BaseModel):
+    """Browser fingerprint to replicate user's browser"""
+    geolocation: Optional[GeolocationModel] = None
+    userAgent: Optional[str] = Field(None, description="User agent string")
+    viewport: Optional[ViewportModel] = Field(None, description="Screen resolution")
+    timezone: Optional[str] = Field(None, description="Timezone (e.g., Europe/Madrid)")
+    language: Optional[str] = Field(None, description="Browser language (e.g., en-US)")
+    platform: Optional[str] = Field(None, description="Platform (e.g., MacIntel, Win32)")
+
+
 class ScrapeRequest(BaseModel):
     """Request model for starting a scrape job"""
     url: HttpUrl = Field(..., description="Google Maps URL to scrape")
     webhook_url: Optional[HttpUrl] = Field(None, description="Webhook URL for async notifications")
     webhook_secret: Optional[str] = Field(None, description="Secret for webhook HMAC signature")
     metadata: Optional[Dict[str, Any]] = Field(None, description="Optional custom metadata")
+    geolocation: Optional[GeolocationModel] = Field(None, description="User's geolocation for Chrome")
+    browser_fingerprint: Optional[BrowserFingerprintModel] = Field(None, description="User's browser fingerprint")
 
 
 class JobResponse(BaseModel):
@@ -149,6 +173,7 @@ class JobResponse(BaseModel):
     created_at: str
     started_at: Optional[str] = None
     completed_at: Optional[str] = None
+    updated_at: Optional[str] = None  # Last update time for progress tracking
     reviews_count: Optional[int] = None
     total_reviews: Optional[int] = None  # Total reviews available for this place
     scrape_time: Optional[float] = None
@@ -157,6 +182,8 @@ class JobResponse(BaseModel):
     # Business metadata
     business_name: Optional[str] = None
     business_address: Optional[str] = None
+    business_category: Optional[str] = None  # Category (e.g., "Barber shop")
+    review_topics: Optional[List[Dict[str, Any]]] = None  # Topic filters with mention counts
 
 
 class ReviewsResponse(BaseModel):
@@ -206,12 +233,32 @@ async def start_scrape(request: ScrapeRequest):
         raise HTTPException(status_code=500, detail="Database not initialized")
 
     try:
+        # Merge browser fingerprint into metadata if provided
+        metadata = request.metadata or {}
+        if request.browser_fingerprint:
+            fp = request.browser_fingerprint
+            metadata['browser_fingerprint'] = {
+                "userAgent": fp.userAgent,
+                "timezone": fp.timezone,
+                "language": fp.language,
+                "platform": fp.platform,
+            }
+            if fp.viewport:
+                metadata['browser_fingerprint']['viewport'] = {"width": fp.viewport.width, "height": fp.viewport.height}
+            if fp.geolocation:
+                metadata['browser_fingerprint']['geolocation'] = {"lat": fp.geolocation.lat, "lng": fp.geolocation.lng}
+        elif request.geolocation:
+            metadata['geolocation'] = {
+                'lat': request.geolocation.lat,
+                'lng': request.geolocation.lng
+            }
+
         # Create job in database
         job_id = await db.create_job(
             url=str(request.url),
             webhook_url=str(request.webhook_url) if request.webhook_url else None,
             webhook_secret=request.webhook_secret,
-            metadata=request.metadata
+            metadata=metadata
         )
 
         # Start scraping job in background
@@ -240,6 +287,25 @@ async def get_job(job_id: UUID):
     if not job:
         raise HTTPException(status_code=404, detail="Job not found")
 
+    # Parse review_topics if it's a string (JSONB might be returned as string)
+    review_topics = job.get('review_topics')
+    if isinstance(review_topics, str):
+        try:
+            review_topics = json.loads(review_topics)
+        except:
+            review_topics = None
+
+    # Extract business info from metadata if available
+    metadata = job.get('metadata')
+    if isinstance(metadata, str):
+        try:
+            metadata = json.loads(metadata)
+        except:
+            metadata = None
+
+    business_name = metadata.get('business_name') if metadata else None
+    business_category = metadata.get('business_category') if metadata else None
+
     return JobResponse(
         job_id=str(job['job_id']),
         status=job['status'],
@@ -247,11 +313,15 @@ async def get_job(job_id: UUID):
         created_at=job['created_at'].isoformat(),
         started_at=job['started_at'].isoformat() if job['started_at'] else None,
         completed_at=job['completed_at'].isoformat() if job['completed_at'] else None,
+        updated_at=job['updated_at'].isoformat() if job.get('updated_at') else None,
         reviews_count=job['reviews_count'],
         total_reviews=job.get('total_reviews'),
         scrape_time=job['scrape_time'],
         error_message=job['error_message'],
-        webhook_url=job.get('webhook_url')
+        webhook_url=job.get('webhook_url'),
+        business_name=business_name,
+        business_category=business_category,
+        review_topics=review_topics
     )
 
 
@@ -541,25 +611,32 @@ async def stream_all_jobs():
 @app.get("/jobs/{job_id}/reviews", response_model=ReviewsResponse, summary="Get Job Reviews")
 async def get_job_reviews(job_id: UUID):
     """
-    Get the actual reviews data for a completed job.
+    Get reviews data for a job.
 
-    Returns 404 if job not found or not completed yet.
+    Returns reviews for completed, partial, or running jobs (if reviews have been collected).
+    Returns 404 if job not found or no reviews available yet.
     """
     if not db:
         raise HTTPException(status_code=500, detail="Database not initialized")
 
-    reviews = await db.get_job_reviews(job_id)
+    # Get reviews (includes completed, running, and partial jobs)
+    reviews = await db.get_job_reviews(job_id, include_partial=True)
     if reviews is None:
         job = await db.get_job(job_id)
         if not job:
             raise HTTPException(status_code=404, detail="Job not found")
-        elif job['status'] != 'completed':
+        elif job['status'] == 'pending':
             raise HTTPException(
                 status_code=400,
-                detail=f"Job not completed yet (current status: {job['status']})"
+                detail="Job has not started yet"
+            )
+        elif job['status'] == 'failed':
+            raise HTTPException(
+                status_code=400,
+                detail=f"Job failed without saving any reviews: {job.get('error_message', 'Unknown error')}"
             )
         else:
-            raise HTTPException(status_code=404, detail="Reviews data not available")
+            raise HTTPException(status_code=404, detail="No reviews data available yet")
 
     return ReviewsResponse(
         job_id=str(job_id),
@@ -603,6 +680,15 @@ async def list_jobs(
 
         business_name = metadata.get('business_name') if metadata else None
         business_address = metadata.get('business_address') if metadata else None
+        business_category = metadata.get('business_category') if metadata else None
+
+        # Parse review_topics if it's a string
+        review_topics = job.get('review_topics')
+        if isinstance(review_topics, str):
+            try:
+                review_topics = json.loads(review_topics)
+            except:
+                review_topics = None
 
         result.append(JobResponse(
             job_id=str(job['job_id']),
@@ -615,7 +701,9 @@ async def list_jobs(
             scrape_time=job.get('scrape_time'),
             error_message=job.get('error_message'),
             business_name=business_name,
-            business_address=business_address
+            business_address=business_address,
+            business_category=business_category,
+            review_topics=review_topics
         ))
 
     return result
@@ -640,63 +728,69 @@ async def check_reviews(request: ScrapeRequest):
     Get business card information from Google Maps.
     Returns business name, address, rating, and review count.
 
-    Uses pre-warmed Chrome worker from pool for instant response.
+    Creates a fresh Chrome instance for reliable results (same as full scraper).
     This is used to show the business confirmation card in the UI.
     """
-    worker = None
-    recycle_worker = False
-
     try:
         url = str(request.url)
 
-        # Get pre-warmed worker from validation pool
-        worker = await asyncio.to_thread(get_validation_worker, timeout=10)
+        # Use the SAME scraper algorithm with validation_only=True for early return
+        # Creates a fresh Chrome instance (same as full scraper) to avoid stale browser state
+        # Pooled browsers can have cookies/state that cause Google to render pages differently
 
-        if worker:
-            log.info(f"Using worker {worker.worker_id} for business card extraction")
-            # Use the pooled worker (don't close it)
-            result = await asyncio.to_thread(
-                get_business_card_info,
-                url=url,
-                driver=worker.driver,
-                return_driver=True
-            )
-
-            # Check if the result indicates a session error
-            if not result['success'] and result.get('error'):
-                error_msg = result.get('error', '').lower()
-                if 'invalid session' in error_msg or 'session' in error_msg:
-                    log.warning(f"Worker {worker.worker_id} has invalid session, will recycle")
-                    recycle_worker = True
+        # Build fingerprint dict from request
+        fingerprint = None
+        if request.browser_fingerprint:
+            fp = request.browser_fingerprint
+            fingerprint = {
+                "userAgent": fp.userAgent,
+                "timezone": fp.timezone,
+                "language": fp.language,
+                "platform": fp.platform,
+            }
+            if fp.viewport:
+                fingerprint["viewport"] = {"width": fp.viewport.width, "height": fp.viewport.height}
+            if fp.geolocation:
+                fingerprint["geolocation"] = {"lat": fp.geolocation.lat, "lng": fp.geolocation.lng}
+            log.info(f"Creating Chrome with user fingerprint: {fp.platform}, {fp.timezone}")
+        elif request.geolocation:
+            fingerprint = {"geolocation": {"lat": request.geolocation.lat, "lng": request.geolocation.lng}}
+            log.info(f"Creating Chrome with geolocation only")
         else:
-            # Fallback: create temporary worker
-            log.warning("No pooled worker available, creating temporary instance")
+            log.info(f"Creating Chrome with default settings")
+
         result = await asyncio.to_thread(
-                get_business_card_info,
-                url=url
+            fast_scrape_reviews,
+            url=url,
+            headless=False,  # Use Xvfb display
+            validation_only=True,  # Return early after getting total_reviews
+            browser_fingerprint=fingerprint  # Pass user's browser fingerprint
         )
 
-        # SIMPLIFIED VALIDATION: If we found a business (name + rating), assume it has reviews
-        # Let the actual scraper determine if reviews exist
-        has_business = bool(result.get('name') and result.get('rating'))
+        # Extract validation info from the result
+        validation_info = result.get('validation_info', {})
+        total_reviews = validation_info.get('total_reviews') or result.get('total_reviews') or 0
+        name = validation_info.get('name')
+        rating = validation_info.get('rating')
+        category = validation_info.get('category')
+        address = validation_info.get('address')
+
+        # Has reviews if we found a business with the Reviews tab (indicated by total_reviews > 0)
+        has_reviews = bool(name and total_reviews > 0)
 
         return {
-            "has_reviews": has_business,  # Boolean: true if business exists
-            "total_reviews": result.get('total_reviews') or 0,  # Show 0 if unknown
-            "name": result.get('name'),
-            "address": result.get('address'),
-            "rating": result.get('rating'),
-            "success": result['success'],
+            "has_reviews": has_reviews,  # True if business has reviews
+            "total_reviews": total_reviews,
+            "name": name,
+            "address": address,
+            "rating": rating,
+            "category": category,
+            "success": result.get('success', True),
             "error": result.get('error')
         }
 
     except Exception as e:
         log.error(f"Error checking reviews: {e}")
-        # If it's a session error, recycle the worker
-        if worker:
-            error_msg = str(e).lower()
-            if 'invalid session' in error_msg or 'session' in error_msg:
-                recycle_worker = True
 
         return {
             "has_reviews": False,
@@ -704,10 +798,6 @@ async def check_reviews(request: ScrapeRequest):
             "success": False,
             "error": str(e)
         }
-    finally:
-        # Release worker back to pool (or recycle if broken)
-        if worker:
-            await asyncio.to_thread(release_validation_worker, worker, recycle=recycle_worker)
 
 
 @app.get("/stats", response_model=StatsResponse, summary="Get Statistics")
@@ -808,6 +898,21 @@ async def run_scraping_job(job_id: UUID):
             job = await db.get_job(job_id)
             url = job['url']
 
+            # Extract browser fingerprint from metadata if available
+            browser_fingerprint = None
+            metadata = job.get('metadata')
+            if isinstance(metadata, str):
+                try:
+                    metadata = json.loads(metadata)
+                except:
+                    metadata = None
+            if metadata and 'browser_fingerprint' in metadata:
+                browser_fingerprint = metadata['browser_fingerprint']
+                log.info(f"Using user fingerprint: {browser_fingerprint.get('platform')}, {browser_fingerprint.get('timezone')}")
+            elif metadata and 'geolocation' in metadata:
+                browser_fingerprint = {'geolocation': metadata['geolocation']}
+                log.info(f"Using user geolocation only")
+
             # Broadcast job started via SSE
             await broadcast_job_update(job_id_str, "job_started", {
                 "job_id": job_id_str,
@@ -821,9 +926,17 @@ async def run_scraping_job(job_id: UUID):
             # Create log capture instance that we can access for real-time logs
             log_capture = LogCapture()
 
+            # Track total reviews for incremental saves
+            total_reviews_seen = [None]
+            # Accumulate all reviews for incremental saves (flush_callback receives batches)
+            all_reviews_collected = []
+
             # Progress callback to update job status with current/total counts AND logs
             def progress_callback(current_count: int, total_count: int):
                 """Update job progress and logs from worker thread"""
+                if total_count:
+                    total_reviews_seen[0] = total_count
+
                 async def update():
                     # Get current logs from the shared log_capture
                     current_logs = log_capture.get_logs()
@@ -847,6 +960,22 @@ async def run_scraping_job(job_id: UUID):
                 # Schedule the coroutine on the event loop
                 asyncio.run_coroutine_threadsafe(update(), loop)
 
+            # Flush callback to save reviews incrementally (crash recovery)
+            # Note: flush_callback receives batches, so we accumulate them
+            def flush_callback(reviews_batch: list):
+                """Accumulate and save reviews to DB incrementally from worker thread"""
+                # Extend our collection with the new batch
+                all_reviews_collected.extend(reviews_batch)
+
+                async def save():
+                    await db.save_reviews_incremental(
+                        job_id=job_id,
+                        reviews=all_reviews_collected,  # Save ALL reviews so far
+                        total_reviews=total_reviews_seen[0]
+                    )
+                # Schedule the coroutine on the event loop
+                asyncio.run_coroutine_threadsafe(save(), loop)
+
             # Run scraping with progress callback and shared log capture
             # headless=False because Docker uses Xvfb virtual display
             result = await asyncio.to_thread(
@@ -854,17 +983,20 @@ async def run_scraping_job(job_id: UUID):
                 url=url,
                 headless=False,
                 progress_callback=progress_callback,
-                log_capture=log_capture
+                log_capture=log_capture,
+                flush_callback=flush_callback,
+                browser_fingerprint=browser_fingerprint  # Pass user's browser fingerprint
             )
 
             if result['success']:
-                # Save results to database (including scraper logs)
+                # Save results to database (including scraper logs and review topics)
                 await db.save_job_result(
                     job_id=job_id,
                     reviews=result['reviews'],
                     scrape_time=result['time'],
                     total_reviews=result.get('total_reviews'),
-                    scrape_logs=result.get('logs')
+                    scrape_logs=result.get('logs'),
+                    review_topics=result.get('review_topics')
                 )
 
                 log.info(
@@ -898,7 +1030,44 @@ async def run_scraping_job(job_id: UUID):
                     )
 
             else:
-                # Job failed - save logs for debugging
+                # Job failed - check if we have partial reviews saved
+                current_job = await db.get_job(job_id)
+                partial_count = current_job.get('reviews_count', 0) if current_job else 0
+
+                if partial_count > 0:
+                    # Mark as partial - we have some reviews saved
+                    await db.mark_job_partial(
+                        job_id,
+                        error_message=result.get('error', 'Unknown error'),
+                        scrape_logs=result.get('logs')
+                    )
+
+                    log.warning(f"Partial job {job_id}: {partial_count} reviews saved before error: {result.get('error')}")
+
+                    # Broadcast job partial via SSE
+                    await broadcast_job_update(job_id_str, "job_partial", {
+                        "job_id": job_id_str,
+                        "status": "partial",
+                        "reviews_count": partial_count,
+                        "total_reviews": current_job.get('total_reviews'),
+                        "error_message": result.get('error'),
+                        "logs": result.get('logs', [])
+                    })
+
+                    # Send partial webhook if configured
+                    if job.get('webhook_url'):
+                        webhook_manager = WebhookManager()
+                        await webhook_manager.send_job_completed_webhook(
+                            webhook_url=job['webhook_url'],
+                            job_id=job_id,
+                            status='partial',
+                            reviews_count=partial_count,
+                            error_message=result.get('error'),
+                            secret=job.get('webhook_secret'),
+                            db=db
+                        )
+                else:
+                    # No reviews saved - mark as failed
                     await db.update_job_status(
                         job_id,
                         JobStatus.FAILED,
@@ -933,6 +1102,44 @@ async def run_scraping_job(job_id: UUID):
             import traceback
             traceback.print_exc()
 
+            # Check if we have partial reviews saved
+            current_job = await db.get_job(job_id)
+            partial_count = current_job.get('reviews_count', 0) if current_job else 0
+
+            if partial_count > 0:
+                # Mark as partial - we have some reviews saved
+                await db.mark_job_partial(
+                    job_id,
+                    error_message=str(e),
+                    scrape_logs=log_capture.get_logs() if log_capture else None
+                )
+
+                log.warning(f"Partial job {job_id}: {partial_count} reviews saved before exception: {e}")
+
+                # Broadcast job partial via SSE
+                await broadcast_job_update(job_id_str, "job_partial", {
+                    "job_id": job_id_str,
+                    "status": "partial",
+                    "reviews_count": partial_count,
+                    "total_reviews": current_job.get('total_reviews'),
+                    "error_message": str(e),
+                    "logs": log_capture.get_logs() if log_capture else []
+                })
+
+                # Send partial webhook
+                if current_job and current_job.get('webhook_url'):
+                    webhook_manager = WebhookManager()
+                    await webhook_manager.send_job_completed_webhook(
+                        webhook_url=current_job['webhook_url'],
+                        job_id=job_id,
+                        status='partial',
+                        reviews_count=partial_count,
+                        error_message=str(e),
+                        secret=current_job.get('webhook_secret'),
+                        db=db
+                    )
+            else:
+                # No reviews saved - mark as failed
                 await db.update_job_status(
                     job_id,
                     JobStatus.FAILED,
@@ -948,15 +1155,14 @@ async def run_scraping_job(job_id: UUID):
                 })
 
                 # Send failure webhook
-            job = await db.get_job(job_id)
-            if job and job.get('webhook_url'):
+                if current_job and current_job.get('webhook_url'):
                     webhook_manager = WebhookManager()
                     await webhook_manager.send_job_completed_webhook(
-                    webhook_url=job['webhook_url'],
+                        webhook_url=current_job['webhook_url'],
                         job_id=job_id,
                         status='failed',
                         error_message=str(e),
-                    secret=job.get('webhook_secret'),
+                        secret=current_job.get('webhook_secret'),
                         db=db
                     )
 

docker-compose.production.yml

@@ -39,6 +39,8 @@ services:
       - CHROME_BIN=/usr/bin/chromium
     ports:
       - "8000:8000"
+      - "5900:5900"   # VNC port (for VNC client)
+      - "6080:6080"   # noVNC web interface (browser access)
     depends_on:
       db:
         condition: service_healthy

modules/database.py

@@ -21,6 +21,7 @@ class JobStatus(str, Enum):
     COMPLETED = "completed"
     FAILED = "failed"
     CANCELLED = "cancelled"
+    PARTIAL = "partial"  # Job crashed but has partial reviews saved
 
 
 class DatabaseManager:
@@ -69,6 +70,7 @@ class DatabaseManager:
                     created_at TIMESTAMP NOT NULL DEFAULT NOW(),
                     started_at TIMESTAMP,
                     completed_at TIMESTAMP,
+                    updated_at TIMESTAMP,
 
                     reviews_count INTEGER,
                     total_reviews INTEGER,
@@ -79,7 +81,7 @@ class DatabaseManager:
                     metadata JSONB,
                     scrape_logs JSONB,
 
-                    CONSTRAINT valid_status CHECK (status IN ('pending', 'running', 'completed', 'failed', 'cancelled'))
+                    CONSTRAINT valid_status CHECK (status IN ('pending', 'running', 'completed', 'failed', 'cancelled', 'partial'))
                 );
             """)
 
@@ -88,6 +90,24 @@ class DatabaseManager:
                 ALTER TABLE jobs ADD COLUMN IF NOT EXISTS scrape_logs JSONB;
             """)
 
+            # Add updated_at column if it doesn't exist (for incremental progress tracking)
+            await conn.execute("""
+                ALTER TABLE jobs ADD COLUMN IF NOT EXISTS updated_at TIMESTAMP;
+            """)
+
+            # Add review_topics column if it doesn't exist (extracted topic filters with mention counts)
+            await conn.execute("""
+                ALTER TABLE jobs ADD COLUMN IF NOT EXISTS review_topics JSONB;
+            """)
+
+            # Update constraint to include 'partial' status (for existing databases)
+            await conn.execute("""
+                ALTER TABLE jobs DROP CONSTRAINT IF EXISTS valid_status;
+            """)
+            await conn.execute("""
+                ALTER TABLE jobs ADD CONSTRAINT valid_status CHECK (status IN ('pending', 'running', 'completed', 'failed', 'cancelled', 'partial'));
+            """)
+
             # Create indexes
             await conn.execute("""
                 CREATE INDEX IF NOT EXISTS idx_jobs_status ON jobs(status);
@@ -187,13 +207,15 @@ class DatabaseManager:
                     created_at,
                     started_at,
                     completed_at,
+                    updated_at,
                     reviews_count,
                     total_reviews,
                     reviews_data,
                     scrape_time,
                     error_message,
                     metadata,
-                    scrape_logs
+                    scrape_logs,
+                    review_topics
                 FROM jobs
                 WHERE job_id = $1
             """, job_id)
@@ -203,17 +225,27 @@ class DatabaseManager:
 
             return dict(row)
 
-    async def get_job_reviews(self, job_id: UUID) -> Optional[List[Dict[str, Any]]]:
+    async def get_job_reviews(self, job_id: UUID, include_partial: bool = True) -> Optional[List[Dict[str, Any]]]:
         """
         Get reviews for a specific job.
 
         Args:
             job_id: Job UUID
+            include_partial: If True, also return reviews for running and partial jobs
 
         Returns:
-            List of reviews or None if not found/not completed
+            List of reviews or None if not found/no reviews
         """
         async with self.pool.acquire() as conn:
+            if include_partial:
+                # Return reviews for completed, running, or partial jobs
+                reviews_data = await conn.fetchval("""
+                    SELECT reviews_data
+                    FROM jobs
+                    WHERE job_id = $1 AND status IN ('completed', 'running', 'partial')
+                """, job_id)
+            else:
+                # Only return reviews for completed jobs
                 reviews_data = await conn.fetchval("""
                     SELECT reviews_data
                     FROM jobs
@@ -278,7 +310,8 @@ class DatabaseManager:
         reviews: List[Dict[str, Any]],
         scrape_time: float,
         total_reviews: Optional[int] = None,
-        scrape_logs: Optional[List[Dict[str, Any]]] = None
+        scrape_logs: Optional[List[Dict[str, Any]]] = None,
+        review_topics: Optional[List[Dict[str, Any]]] = None
     ):
         """
         Save scraping results to database.
@@ -289,8 +322,33 @@ class DatabaseManager:
             scrape_time: Time taken to scrape in seconds
             total_reviews: Total reviews available (from page counter)
             scrape_logs: List of log entries from the scraper
+            review_topics: List of topic filter dictionaries with topic and count
         """
         async with self.pool.acquire() as conn:
+            # If reviews list is empty, check if job already has reviews from incremental saves
+            # This happens when flush_callback was used during scraping
+            if not reviews:
+                existing = await conn.fetchval(
+                    "SELECT reviews_count FROM jobs WHERE job_id = $1", job_id
+                )
+                if existing and existing > 0:
+                    # Job has reviews from incremental saves, don't overwrite reviews_data
+                    await conn.execute("""
+                        UPDATE jobs
+                        SET
+                            status = 'completed',
+                            completed_at = NOW(),
+                            total_reviews = COALESCE($2, total_reviews),
+                            scrape_time = $3,
+                            scrape_logs = $4::jsonb,
+                            review_topics = $5::jsonb
+                        WHERE job_id = $1
+                    """, job_id, total_reviews, scrape_time,
+                        json.dumps(scrape_logs) if scrape_logs else None,
+                        json.dumps(review_topics) if review_topics else None)
+                    log.info(f"Completed job {job_id} with {existing} reviews (from incremental saves)")
+                    return
+
             await conn.execute("""
                 UPDATE jobs
                 SET
@@ -300,13 +358,70 @@ class DatabaseManager:
                     total_reviews = $3,
                     reviews_data = $4::jsonb,
                     scrape_time = $5,
-                    scrape_logs = $6::jsonb
+                    scrape_logs = $6::jsonb,
+                    review_topics = $7::jsonb
                 WHERE job_id = $1
             """, job_id, len(reviews), total_reviews, json.dumps(reviews), scrape_time,
-                json.dumps(scrape_logs) if scrape_logs else None)
+                json.dumps(scrape_logs) if scrape_logs else None,
+                json.dumps(review_topics) if review_topics else None)
 
             log.info(f"Saved {len(reviews)} reviews for job {job_id}")
 
+    async def save_reviews_incremental(
+        self,
+        job_id: UUID,
+        reviews: List[Dict[str, Any]],
+        total_reviews: Optional[int] = None
+    ):
+        """
+        Save reviews incrementally during scraping.
+        Called on each flush to preserve progress in case of crash.
+
+        Args:
+            job_id: Job UUID
+            reviews: ALL reviews collected so far (not just new ones)
+            total_reviews: Total reviews available (from page counter)
+        """
+        async with self.pool.acquire() as conn:
+            await conn.execute("""
+                UPDATE jobs
+                SET
+                    reviews_count = $2,
+                    total_reviews = COALESCE($3, total_reviews),
+                    reviews_data = $4::jsonb,
+                    updated_at = NOW()
+                WHERE job_id = $1 AND status = 'running'
+            """, job_id, len(reviews), total_reviews, json.dumps(reviews))
+
+            log.debug(f"Incremental save: {len(reviews)} reviews for job {job_id}")
+
+    async def mark_job_partial(
+        self,
+        job_id: UUID,
+        error_message: str,
+        scrape_logs: Optional[List[Dict[str, Any]]] = None
+    ):
+        """
+        Mark a job as partial (crashed but has some reviews saved).
+
+        Args:
+            job_id: Job UUID
+            error_message: Error that caused the crash
+            scrape_logs: Log entries from the scraper
+        """
+        async with self.pool.acquire() as conn:
+            await conn.execute("""
+                UPDATE jobs
+                SET
+                    status = 'partial',
+                    completed_at = NOW(),
+                    error_message = $2,
+                    scrape_logs = $3::jsonb
+                WHERE job_id = $1
+            """, job_id, error_message, json.dumps(scrape_logs) if scrape_logs else None)
+
+            log.info(f"Marked job {job_id} as partial due to: {error_message}")
+
     async def list_jobs(
         self,
         status: Optional[JobStatus] = None,
@@ -337,7 +452,8 @@ class DatabaseManager:
                         total_reviews,
                         scrape_time,
                         error_message,
-                        metadata
+                        metadata,
+                        review_topics
                     FROM jobs
                     WHERE status = $1
                     ORDER BY created_at DESC
@@ -355,7 +471,8 @@ class DatabaseManager:
                         total_reviews,
                         scrape_time,
                         error_message,
-                        metadata
+                        metadata,
+                        review_topics
                     FROM jobs
                     ORDER BY created_at DESC
                     LIMIT $1 OFFSET $2

modules/scraper_clean.py

@@ -268,7 +268,7 @@ def parse_dom_review(card) -> dict:
 
 def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: int = 15,
                    flush_callback=None, flush_batch_size: int = 500, log_capture: LogCapture = None,
-                   progress_callback=None) -> dict:
+                   progress_callback=None, validation_only: bool = False) -> dict:
     """
     Scrape Google Maps reviews.
 
@@ -299,6 +299,9 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
     # Track total reviews (persists across refreshes)
     total_reviews = [None]  # Use list for closure mutation
 
+    # Store business info extracted from overview (before clicking reviews tab)
+    business_info_cache = [None]
+
     # Hard refresh counter
     hard_refresh_count = [0]
     max_hard_refreshes = 3  # Max number of hard refreshes before giving up
@@ -323,11 +326,14 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
                 pass
         return None
 
-    def setup_reviews_page(is_refresh=False):
+    def setup_reviews_page(is_refresh=False, validation_only_mode=False):
         """
         Setup the reviews page for scraping.
         Returns (scroll_container, stop_scrolling_event) or (None, None) on failure.
         Can be called after initial load or after a hard refresh.
+
+        If validation_only_mode=True, returns early after extracting business info
+        without clicking reviews tab or finding scroll container.
         """
         nonlocal total_reviews
 
@@ -335,6 +341,13 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
 
         # Navigate to URL (only on initial load or refresh)
         if not is_refresh:
+            # Reset browser state by navigating to blank page first
+            # This clears any stale state from pooled browser sessions
+            try:
+                driver.get("about:blank")
+                time.sleep(0.1)
+            except:
+                pass
             log.info(f"🌐 Loading: {url[:80]}...")
         else:
             log.info(f"🔄 Hard refresh #{hard_refresh_count[0]}: reloading page...")
@@ -353,6 +366,8 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
                             # Reload original URL after consent
                             log.info("  Reloading after consent...")
                             driver.get(url)
+                            # Wait for page to settle after consent reload
+                            time.sleep(1)
                             break
                 except:
                     pass
@@ -362,43 +377,108 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
                 break
             time.sleep(0.01)  # 10ms - responsive but low CPU
 
-        # Extract total review count BEFORE clicking reviews tab (it's on Overview)
+        # Extract business info and total review count BEFORE clicking reviews tab (on Overview)
+        # This captures name, rating, category, address while they're visible
         # Only on first load (don't overwrite if we already have it)
-        if total_reviews[0] is None:
+        if total_reviews[0] is None or business_info_cache[0] is None:
             start = time.time()
             while time.time() - start < 5:
                 try:
-                    count = driver.execute_script("""
-                        var reviewSpans = document.querySelectorAll('span[role="img"]');
-                        for (var i = 0; i < reviewSpans.length; i++) {
-                            var label = reviewSpans[i].getAttribute('aria-label') || '';
-                            var match = label.match(/^([\\d,\\.]+)\\s*review/i);
-                            if (match) {
-                                return parseInt(match[1].replace(/[,\\.]/g, ''));
+                    info = driver.execute_script("""
+                        var result = {
+                            total_reviews: null,
+                            name: null,
+                            rating: null,
+                            category: null,
+                            address: null
+                        };
+
+                        // Business name from h1
+                        var h1 = document.querySelector('h1');
+                        if (h1) result.name = h1.textContent.trim();
+
+                        // Category - use jsaction attribute (robust selector)
+                        var catBtn = document.querySelector('button[jsaction*="category"]');
+                        if (catBtn) result.category = catBtn.textContent.trim();
+
+                        // Rating and review count from span[role="img"] aria-labels
+                        var spans = document.querySelectorAll('span[role="img"]');
+                        for (var i = 0; i < spans.length; i++) {
+                            var label = spans[i].getAttribute('aria-label') || '';
+
+                            // Rating: "4.8 stars"
+                            var rMatch = label.match(/^([\\d,.]+)\\s*star/i);
+                            if (rMatch && !result.rating) {
+                                result.rating = parseFloat(rMatch[1].replace(',', '.'));
+                            }
+
+                            // Reviews: "79 reviews"
+                            var revMatch = label.match(/^([\\d,\\.]+)\\s*review/i);
+                            if (revMatch && !result.total_reviews) {
+                                result.total_reviews = parseInt(revMatch[1].replace(/[,\\.]/g, ''));
                             }
                         }
-                        return null;
+
+                        // Address from button
+                        var addrBtn = document.querySelector('button[data-item-id="address"]');
+                        if (addrBtn) {
+                            var label = addrBtn.getAttribute('aria-label');
+                            if (label) result.address = label.replace(/^Address:\\s*/i, '');
+                        }
+
+                        return result;
                     """)
-                    if count:
-                        total_reviews[0] = count
-                        log.info(f"📊 Total reviews on page: {count}")
+
+                    if info:
+                        if info.get('total_reviews') and total_reviews[0] is None:
+                            total_reviews[0] = info['total_reviews']
+                            log.info(f"📊 Total reviews on page: {total_reviews[0]}")
+                        if info.get('name') and business_info_cache[0] is None:
+                            business_info_cache[0] = info
+                            log.info(f"📍 Business: {info.get('name')}")
+                        if total_reviews[0] and business_info_cache[0]:
                             break
                 except:
                     pass
                 time.sleep(0.1)
 
+        # VALIDATION_ONLY: Return early - skip clicking reviews tab, sorting, etc.
+        if validation_only_mode:
+            log.info("📋 Validation mode: returning early (skipping reviews tab)")
+            return ("validation_done", None)
+
         # Click reviews tab - poll until found
         review_keywords = ["review", "reseña", "avis", "bewertung", "recensione", "opiniones"]
         start = time.time()
         tab_clicked = False
+        tabs_logged = False
         while time.time() - start < 5:  # Max 5s for tabs
             try:
                 tabs = driver.find_elements(By.CSS_SELECTOR, "button[role='tab']")
+                # Log available tabs once for debugging
+                if not tabs_logged and tabs:
+                    tabs_logged = True
+                    tab_texts = [t.text for t in tabs]
+                    log.info(f"  Available tabs: {tab_texts}")
                 for tab in tabs:
                     tab_text = tab.text.lower()
                     if any(kw in tab_text for kw in review_keywords):
                         if not is_refresh:
                             log.info(f"  Clicking reviews tab: '{tab.text}'")
+                        # Extract total_reviews from tab text like "Reviews (79)" or "Reviews\n79"
+                        if total_reviews[0] is None:
+                            import re
+                            # Try pattern with parentheses: "Reviews (79)"
+                            match = re.search(r'\((\d+)\)', tab.text)
+                            if match:
+                                total_reviews[0] = int(match.group(1))
+                                log.info(f"📊 Total reviews from tab: {total_reviews[0]}")
+                            else:
+                                # Try pattern with newline: "Reviews\n79"
+                                match = re.search(r'(\d+)', tab.text)
+                                if match:
+                                    total_reviews[0] = int(match.group(1))
+                                    log.info(f"📊 Total reviews from tab: {total_reviews[0]}")
                         tab.click()
                         tab_clicked = True
                         break
@@ -569,11 +649,85 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
 
         return scroll_container, stop_scrolling
 
-    # Initial page setup
-    scroll_container, stop_scrolling = setup_reviews_page(is_refresh=False)
+    # Helper to extract review topics from the reviews tab
+    def extract_review_topics():
+        """Extract review topic filters from radiogroup (robust selectors)."""
+        try:
+            topics = driver.execute_script("""
+                var topics = [];
+
+                // Primary: use role="radiogroup" with aria-label="Refine reviews" (robust)
+                var container = document.querySelector('div[role="radiogroup"][aria-label*="Refine"], div[role="radiogroup"][aria-label*="refine"]');
+
+                if (!container) {
+                    // Fallback: any radiogroup in the reviews area
+                    container = document.querySelector('div[role="radiogroup"]');
+                }
+
+                if (container) {
+                    var buttons = container.querySelectorAll('button[role="radio"]');
+                    for (var btn of buttons) {
+                        var label = btn.getAttribute('aria-label') || '';
+                        // Parse "hair salon, mentioned in 4 reviews" format
+                        var match = label.match(/^([^,]+),\\s*mentioned in (\\d+)/i);
+                        if (match) {
+                            topics.push({
+                                topic: match[1].trim(),
+                                count: parseInt(match[2])
+                            });
+                        } else if (label && !label.toLowerCase().includes('all review')) {
+                            // Fallback: try to extract from child spans
+                            var countSpan = btn.querySelector('.bC3Nkc, .fontBodySmall');
+                            var nameSpan = btn.querySelector('.uEubGf, span:first-child');
+                            if (nameSpan) {
+                                var name = nameSpan.textContent.trim();
+                                var count = countSpan ? parseInt(countSpan.textContent) : 0;
+                                if (name && name.toLowerCase() !== 'all') {
+                                    topics.push({topic: name, count: count || 0});
+                                }
+                            }
+                        }
+                    }
+                }
+
+                return topics;
+            """)
+            return topics or []
+        except:
+            return []
+
+    # Initial page setup (pass validation_only to skip unnecessary steps)
+    scroll_container, stop_scrolling = setup_reviews_page(is_refresh=False, validation_only_mode=validation_only)
+
+    # VALIDATION_ONLY MODE: Return early with just total_reviews and business info
+    # setup_reviews_page returns ("validation_done", None) in this case
+    if validation_only or scroll_container == "validation_done":
+        # Use the business info captured from Overview (before clicking reviews tab)
+        business_info = business_info_cache[0] or {}
+
+        return {
+            "reviews": [],
+            "total": total_reviews[0] or 0,
+            "scrolls": 0,
+            "error": None,
+            "validation_info": {
+                "name": business_info.get("name"),
+                "rating": business_info.get("rating"),
+                "category": business_info.get("category"),
+                "address": business_info.get("address"),
+                "total_reviews": total_reviews[0]
+            }
+        }
+
     if not scroll_container:
         return {"reviews": [], "total": 0, "scrolls": 0, "error": "No scroll container found"}
 
+    # Extract review topics after reviews tab is loaded (before scrolling begins)
+    time.sleep(0.5)  # Brief wait for topic filters to render
+    review_topics = extract_review_topics()
+    if review_topics:
+        log.info(f"📊 Found {len(review_topics)} review topics: {', '.join(t['topic'] for t in review_topics[:5])}...")
+
     def get_api_reviews():
         """Get reviews from intercepted API responses."""
         api_revs = []
@@ -990,13 +1144,15 @@ def scrape_reviews(driver, url: str, max_reviews: int = 5000, timeout_no_new: in
         "total_flushed": total_flushed[0],
         "checks": check_num,
         "url": url,
-        "logs": log.get_logs()
+        "logs": log.get_logs(),
+        "review_topics": review_topics  # Topic filters with mention counts
     }
 
 
 def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999999,
                         progress_callback=None, driver=None, return_driver: bool = False,
-                        log_capture: LogCapture = None):
+                        log_capture: LogCapture = None, flush_callback=None, validation_only: bool = False,
+                        browser_fingerprint: dict = None):
     """
     Production-compatible wrapper for scrape_reviews.
     Matches the API expected by job_manager.py.
@@ -1009,6 +1165,13 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
         driver: Existing driver instance to reuse
         return_driver: If True, return driver in result
         log_capture: Optional LogCapture instance for real-time log access
+        browser_fingerprint: Optional dict with user's browser fingerprint:
+            - geolocation: {lat, lng}
+            - userAgent: string
+            - viewport: {width, height}
+            - timezone: string (e.g., "Europe/Madrid")
+            - language: string (e.g., "en-US")
+            - platform: string (e.g., "MacIntel")
 
     Returns:
         Dictionary with: reviews, count, total_reviews, time, success, error, driver, logs
@@ -1023,27 +1186,56 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
     log_capture = log_capture or LogCapture()
 
     try:
+        # Extract fingerprint settings
+        fp = browser_fingerprint or {}
+        user_agent = fp.get('userAgent') or "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+        viewport = fp.get('viewport') or {'width': 1200, 'height': 900}
+        geolocation = fp.get('geolocation')
+        timezone = fp.get('timezone')
+        language = fp.get('language', 'en-US')
+
         # Create driver if not provided
         if not driver:
             driver = Driver(
                 uc=True,
                 headless=headless,
                 page_load_strategy="normal",
-                agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+                agent=user_agent  # Use user's actual user agent
             )
-            driver.set_window_size(1200, 900)  # Proper viewport for Google Maps
+            # Set viewport to match user's screen
+            driver.set_window_size(viewport['width'], viewport['height'])
 
-        # Set Chrome geolocation to US (Boston, MA) using CDP
-        # This ensures Google Maps shows US results regardless of server location
+        # Apply browser fingerprint settings via CDP
         try:
+            # Set timezone if provided
+            if timezone:
+                driver.execute_cdp_cmd('Emulation.setTimezoneOverride', {'timezoneId': timezone})
+                log_capture.info(f"Set timezone to {timezone}")
+
+            # Set locale/language
+            driver.execute_cdp_cmd('Emulation.setLocaleOverride', {'locale': language})
+
+            # Set geolocation
+            if geolocation and 'lat' in geolocation and 'lng' in geolocation:
+                driver.execute_cdp_cmd('Emulation.setGeolocationOverride', {
+                    'latitude': geolocation['lat'],
+                    'longitude': geolocation['lng'],
+                    'accuracy': 1000  # ~1km accuracy for IP-based location
+                })
+                log_capture.info(f"Set geolocation to ({geolocation['lat']:.2f}, {geolocation['lng']:.2f})")
+            else:
+                # Default to US (Boston, MA) if no geolocation provided
                 driver.execute_cdp_cmd('Emulation.setGeolocationOverride', {
                     'latitude': 42.3601,
                     'longitude': -71.0589,
                     'accuracy': 100
                 })
-            log_capture.info("Set geolocation to US (Boston, MA)")
+                log_capture.info("Set geolocation to US (Boston, MA) [default]")
+
+            if fp:
+                log_capture.info(f"Browser fingerprint applied: {fp.get('platform', 'unknown')}, {viewport['width']}x{viewport['height']}")
         except Exception as e:
-            log_capture.warning(f"Could not set geolocation: {e}")
+            log_capture.warning(f"Could not apply fingerprint settings: {e}")
 
         # Add URL parameters for consistent results
         if 'hl=' not in url:
@@ -1052,14 +1244,18 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
         if 'gl=' not in url:
             url = f"{url}&gl=us"
 
-        # Create progress wrapper if callback provided
-        flush_callback = None
-        if progress_callback:
+        # Create combined flush callback for progress + external handler
+        external_flush = flush_callback  # Save external callback
+        internal_flush = None
+        if progress_callback or external_flush:
             collected = [0]
-            def flush_with_progress(reviews_batch):
-                collected[0] += len(reviews_batch)
+            def combined_flush(reviews_batch):
+                collected[0] = len(reviews_batch)  # reviews_batch is ALL reviews so far
+                if progress_callback:
                     progress_callback(collected[0], None)
-            flush_callback = flush_with_progress
+                if external_flush:
+                    external_flush(reviews_batch)  # Pass reviews to external handler
+            internal_flush = combined_flush
 
         # Run the scraper with progress callback for real-time updates
         result = scrape_reviews(
@@ -1067,10 +1263,11 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
             url=url,
             max_reviews=999999,  # Effectively unlimited
             timeout_no_new=15,
-            flush_callback=flush_callback,
+            flush_callback=internal_flush,
             flush_batch_size=100,  # Smaller batches for more frequent progress
             log_capture=log_capture,
-            progress_callback=progress_callback  # Pass through for real-time log updates
+            progress_callback=progress_callback,  # Pass through for real-time log updates
+            validation_only=validation_only  # Return early if just validating
         )
 
         elapsed = time.time() - start_time
@@ -1083,9 +1280,14 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
             "time": elapsed,
             "success": True,
             "error": None,
-            "logs": result.get("logs", [])
+            "logs": result.get("logs", []),
+            "review_topics": result.get("review_topics", [])  # Topic filters with mention counts
         }
 
+        # Include validation_info if in validation_only mode
+        if validation_only and "validation_info" in result:
+            response["validation_info"] = result["validation_info"]
+
         if return_driver:
             response["driver"] = driver
         elif should_close_driver:
@@ -1120,6 +1322,122 @@ def fast_scrape_reviews(url: str, headless: bool = False, max_scrolls: int = 999
         }
 
 
+def extract_about_info(driver, url: str = None) -> dict:
+    """
+    Extract About section info from Google Maps (Accessibility, Amenities, etc.).
+
+    This function should be called AFTER reviews are scraped if about info is needed,
+    as it navigates to a different tab.
+
+    Args:
+        driver: Selenium WebDriver instance (already on the business page)
+        url: Optional URL to navigate to first (if not already on the page)
+
+    Returns:
+        dict with section names as keys, each containing list of features
+    """
+    try:
+        # Navigate if URL provided
+        if url:
+            # Force English
+            if 'hl=' not in url:
+                separator = '&' if '?' in url else '?'
+                url = f"{url}{separator}hl=en"
+            if 'gl=' not in url:
+                url = f"{url}&gl=us"
+            driver.get(url)
+            time.sleep(1)
+
+        # Click About tab using robust selectors
+        clicked = driver.execute_script("""
+            // Try multiple selectors for about tab
+            var selectors = [
+                'button[aria-label*="About"]',
+                'button[data-tab-index="2"]',
+                'div[role="tablist"] button:nth-child(3)',
+                'button[jsaction*="about"]'
+            ];
+
+            for (var sel of selectors) {
+                var btn = document.querySelector(sel);
+                if (btn && btn.textContent.toLowerCase().includes('about')) {
+                    btn.click();
+                    return true;
+                }
+            }
+
+            // Fallback: find by text content
+            var buttons = document.querySelectorAll('button');
+            for (var btn of buttons) {
+                if (btn.textContent.trim().toLowerCase() === 'about') {
+                    btn.click();
+                    return true;
+                }
+            }
+            return false;
+        """)
+
+        if not clicked:
+            return {}
+
+        time.sleep(1.5)  # Wait for about tab to load
+
+        # Extract about sections using aria-labels (robust)
+        about = driver.execute_script("""
+            var about = {};
+
+            // Find the about region by aria-label or role
+            var container = document.querySelector('div[role="region"][aria-label*="About"]');
+
+            if (!container) {
+                // Fallback: look for the scrollable area with sections
+                container = document.querySelector('.m6QErb[aria-label*="About"]');
+            }
+
+            if (!container) {
+                // Last resort: find sections by h2 headers
+                container = document;
+            }
+
+            // Find all section headers (h2 elements)
+            var sections = container.querySelectorAll('h2');
+
+            for (var h2 of sections) {
+                var sectionName = h2.textContent.trim();
+                var items = [];
+
+                // Find the ul list following this h2
+                var parent = h2.closest('.iP2t7d, div');
+                if (parent) {
+                    var listItems = parent.querySelectorAll('li span[aria-label]');
+                    for (var li of listItems) {
+                        var label = li.getAttribute('aria-label');
+                        if (label) {
+                            // Parse "Has toilet" or "No wheelchair-accessible car park"
+                            var hasFeature = !label.toLowerCase().startsWith('no ');
+                            var featureName = label.replace(/^(Has |No )/i, '');
+                            items.push({
+                                feature: featureName,
+                                available: hasFeature
+                            });
+                        }
+                    }
+                }
+
+                if (sectionName && items.length > 0) {
+                    about[sectionName] = items;
+                }
+            }
+
+            return about;
+        """)
+
+        return about or {}
+
+    except Exception as e:
+        return {"error": str(e)}
+
+
 # Test function
 if __name__ == "__main__":
     from seleniumbase import Driver
@@ -1159,6 +1477,8 @@ def get_business_card_info(url: str, headless: bool = True, driver=None, return_
         dict with: name, address, rating, total_reviews, success, error, time
     """
     from seleniumbase import Driver
+    import logging
+    log = logging.getLogger(__name__)
 
     start_time = time.time()
     driver_provided = driver is not None
@@ -1177,13 +1497,15 @@ def get_business_card_info(url: str, headless: bool = True, driver=None, return_
         except:
             pass
 
-        # Clear state if reusing a pooled driver (ensures clean page load)
-        if driver_provided:
-            try:
-                driver.delete_all_cookies()
-                driver.get("about:blank")
-            except:
-                pass
+        # Don't clear state - Google may serve different content based on session history
+        # The scraper doesn't reset state, so validation shouldn't either
+
+        # Force English interface for consistent parsing
+        if 'hl=' not in url:
+            separator = '&' if '?' in url else '?'
+            url = f"{url}{separator}hl=en"
+        if 'gl=' not in url:
+            url = f"{url}&gl=us"
 
         # Navigate to URL
         driver.get(url)
@@ -1193,48 +1515,183 @@ def get_business_card_info(url: str, headless: bool = True, driver=None, return_
         while time.time() - start < 5:
             if "consent.google" in driver.current_url:
                 try:
+                    # Try multiple approaches to find and click accept button
+                    clicked = False
+
+                    # Method 1: Find by aria-label (most reliable for Google consent)
+                    for btn in driver.find_elements(By.CSS_SELECTOR, "button[aria-label*='Accept']"):
+                        btn.click()
+                        clicked = True
+                        break
+
+                    # Method 2: Find by text content
+                    if not clicked:
                         for btn in driver.find_elements(By.CSS_SELECTOR, "button"):
                             txt = btn.text.lower()
-                        if "accept" in txt or "aceptar" in txt or "alle akzeptieren" in txt:
+                            if "accept all" in txt or "accept" in txt or "aceptar" in txt or "alle akzeptieren" in txt:
                                 btn.click()
-                            driver.get(url)
+                                clicked = True
                                 break
-                except:
+
+                    if clicked:
+                        time.sleep(0.5)  # Brief wait for consent to process
+                        driver.get(url)  # Reload the target URL
+                        time.sleep(0.5)  # Wait for reload
+                except Exception as e:
                     pass
                 break
             if "maps/place" in driver.current_url or ("maps" in driver.current_url and "consent" not in driver.current_url):
                 break
             time.sleep(0.01)  # 10ms - responsive but low CPU
 
+        # Log current URL after consent handling
+        try:
+            current_url = driver.current_url
+            log.info(f"🔍 Validation: Current URL after load: {current_url[:80]}...")
+        except:
+            pass
+
+        # Wait for page to fully render before polling (tabs may load dynamically)
+        time.sleep(2)
+
         # Poll for business info (same pattern as total_reviews extraction)
-        info = {"name": None, "rating": None, "total_reviews": None, "address": None}
+        # Timeout increased to 10s because Reviews tab can take 6+ seconds to appear after consent
+        info = {"name": None, "rating": None, "total_reviews": None, "address": None, "category": None}
         start = time.time()
-        while time.time() - start < 5:
+        debug_logged = False
+        while time.time() - start < 10:
             try:
                 info = driver.execute_script("""
-                    var result = {name: null, rating: null, total_reviews: null, address: null};
+                    var result = {name: null, rating: null, total_reviews: null, address: null, category: null, debug: []};
 
                     // Business name from h1
                     var h1 = document.querySelector('h1');
                     if (h1) result.name = h1.textContent.trim();
 
-                    // Rating and reviews from span[role="img"] aria-labels
-                    // Same pattern as scrape_reviews for consistency
+                    // Category - use jsaction attribute (robust, survives class changes)
+                    var catBtn = document.querySelector('button[jsaction*="category"]');
+                    if (catBtn) result.category = catBtn.textContent.trim();
+
+                    // Fallback: look for button after rating that's not a link
+                    if (!result.category) {
+                        var buttons = document.querySelectorAll('button');
+                        for (var btn of buttons) {
+                            var text = btn.textContent.trim();
+                            // Categories are short words, no numbers, not navigation
+                            if (text && text.length < 50 && !text.match(/^[0-9]/) &&
+                                !text.match(/review|star|direction|save|share|photo/i)) {
+                                // Check if it's near the rating area
+                                var parent = btn.closest('.LBgpqf, .skqShb, .fontBodyMedium');
+                                if (parent) {
+                                    result.category = text;
+                                    break;
+                                }
+                            }
+                        }
+                    }
+
+                    // Rating from span[role="img"] aria-labels
                     var spans = document.querySelectorAll('span[role="img"]');
                     for (var i = 0; i < spans.length; i++) {
                         var label = spans[i].getAttribute('aria-label') || '';
 
-                        // Rating: "4.8 stars", "4,8 estrellas", etc (partial match)
-                        var rMatch = label.match(/^([\\d,.]+)\\s*(star|estrella|étoile|stern|stell)/i);
+                        // Collect debug info for all aria-labels
+                        if (label) {
+                            result.debug.push('img-aria: ' + label);
+                        }
+
+                        // Rating: "4.8 stars" (English forced via hl=en)
+                        var rMatch = label.match(/^([\\d,.]+)\\s*star/i);
                         if (rMatch && !result.rating) {
                             result.rating = parseFloat(rMatch[1].replace(',', '.'));
                         }
 
-                        // Reviews: same as scrape_reviews - /^([\d,.]+)\s*review/i
-                        // Plus Spanish "reseña" which doesn't contain "review"
-                        var revMatch = label.match(/^([\\d,\\.]+)\\s*(review|reseña|avis|bewertung|recension)/i);
+                        // Reviews: "79 reviews" or "4.8 stars 79 reviews" (English forced via hl=en)
+                        // Try direct format first: "79 reviews"
+                        var revMatch = label.match(/^([\\d,]+)\\s*review/i);
                         if (revMatch && !result.total_reviews) {
-                            result.total_reviews = parseInt(revMatch[1].replace(/[,\\.]/g, ''));
+                            result.total_reviews = parseInt(revMatch[1].replace(/,/g, ''));
+                        }
+
+                        // Try combined format: "4.8 stars 79 reviews" or "4.8 stars 79k+ reviews"
+                        if (!result.total_reviews) {
+                            var combinedMatch = label.match(/stars?\\s+([\\d,]+k?\\+?)\\s*review/i);
+                            if (combinedMatch) {
+                                var countStr = combinedMatch[1].replace(/,/g, '');
+                                if (countStr.includes('k')) {
+                                    // Handle "9k+" format
+                                    result.total_reviews = parseInt(countStr) * 1000;
+                                } else {
+                                    result.total_reviews = parseInt(countStr);
+                                }
+                            }
+                        }
+                    }
+
+                    // Also collect tab button texts for debugging (include full text including numbers)
+                    var tabs = document.querySelectorAll('button[role="tab"]');
+                    for (var j = 0; j < tabs.length; j++) {
+                        var tabText = tabs[j].textContent.trim();
+                        result.debug.push('tab: ' + tabText);
+                        // Also try to extract review count from tab text like "Reviews (79)"
+                        if (tabText.toLowerCase().includes('review') && !result.total_reviews) {
+                            var tabMatch = tabText.match(/\\((\\d+)\\)/);
+                            if (tabMatch) {
+                                result.total_reviews = parseInt(tabMatch[1]);
+                                result.debug.push('Found reviews in tab: ' + tabText);
+                            }
+                        }
+                    }
+
+                    // Also check ALL buttons for reviews count
+                    var allButtons = document.querySelectorAll('button');
+                    for (var b = 0; b < allButtons.length; b++) {
+                        var btnText = allButtons[b].textContent || '';
+                        if (btnText.toLowerCase().includes('review') && !btnText.toLowerCase().includes('write')) {
+                            var numMatch = btnText.match(/\\((\\d+)\\)/);
+                            if (numMatch && !result.total_reviews) {
+                                result.total_reviews = parseInt(numMatch[1]);
+                                result.debug.push('Found reviews in button: ' + btnText.substring(0, 50));
+                            }
+                        }
+                    }
+
+                    // Check if we're on search results vs place page
+                    result.debug.push('title: ' + document.title);
+                    result.debug.push('url: ' + window.location.href.substring(0, 80));
+
+                    // Check for search results list
+                    var searchResults = document.querySelectorAll('div[role="feed"] > div');
+                    result.debug.push('search_results_count: ' + searchResults.length);
+
+                    // Fallback: Get review count from Reviews tab button "Reviews (79)"
+                    // Search ALL tab buttons for one containing "review" text (same as scrape_reviews)
+                    if (!result.total_reviews) {
+                        var tabs = document.querySelectorAll('button[role="tab"]');
+                        for (var tab of tabs) {
+                            var text = tab.textContent.toLowerCase();
+                            if (text.includes('review')) {
+                                var match = tab.textContent.match(/\\((\\d+)\\)/);
+                                if (match) {
+                                    result.total_reviews = parseInt(match[1]);
+                                    break;
+                                }
+                            }
+                        }
+                    }
+
+                    // Fallback 2: Look for any button with "Reviews" and a number
+                    if (!result.total_reviews) {
+                        var buttons = document.querySelectorAll('button');
+                        for (var btn of buttons) {
+                            var text = btn.textContent;
+                            if (text.toLowerCase().includes('review') && !text.toLowerCase().includes('write')) {
+                                var numMatch = text.match(/\\((\\d+)\\)/);
+                                if (numMatch) {
+                                    result.total_reviews = parseInt(numMatch[1]);
+                                    break;
+                                }
+                            }
                         }
                     }
 
@@ -1242,23 +1699,41 @@ def get_business_card_info(url: str, headless: bool = True, driver=None, return_
                     var addrBtn = document.querySelector('button[data-item-id="address"]');
                     if (addrBtn) {
                         var label = addrBtn.getAttribute('aria-label');
-                        if (label) result.address = label.replace(/^(Address|Dirección|Adresse):\\s*/i, '');
+                        if (label) result.address = label.replace(/^Address:\\s*/i, '');
                     }
 
                     return result;
                 """)
-                # Exit early if we have the essentials
-                if info.get("name") and info.get("total_reviews") is not None:
+                # Exit early if we have the essentials (name found AND reviews count > 0)
+                if info.get("name") and info.get("total_reviews") and info.get("total_reviews") > 0:
                     break
+
+                # Log debug info once after 3 seconds
+                if not debug_logged and time.time() - start > 3:
+                    debug_logged = True
+                    debug_info = info.get("debug", [])
+                    if debug_info:
+                        log.info(f"🔍 Validation debug - URL: {url[:50]}...")
+                        log.info(f"   Name: {info.get('name')}, Rating: {info.get('rating')}, Reviews: {info.get('total_reviews')}")
+                        for d in debug_info[:10]:  # First 10 debug items
+                            log.info(f"   {d}")
             except:
                 pass
             time.sleep(0.1)  # 100ms between polls
 
+        # Final debug log if still no reviews
+        if not info.get("total_reviews"):
+            debug_info = info.get("debug", [])
+            log.warning(f"⚠️ Validation: No reviews found for '{info.get('name')}' after 10s polling")
+            if debug_info:
+                log.warning(f"   Debug items: {debug_info[:10]}")
+
         return {
             "name": info.get("name"),
             "address": info.get("address"),
             "rating": info.get("rating"),
             "total_reviews": info.get("total_reviews"),
+            "category": info.get("category"),
             "success": bool(info.get("name")),
             "error": None,
             "time": time.time() - start_time
@@ -1270,6 +1745,7 @@ def get_business_card_info(url: str, headless: bool = True, driver=None, return_
             "address": None,
             "rating": None,
             "total_reviews": None,
+            "category": None,
             "success": False,
             "error": str(e),
             "time": time.time() - start_time

web/app/page.tsx

@@ -27,6 +27,8 @@ interface SelectedJob {
   jobId: string;
   newCount?: number;
   previousJobId?: string;
+  businessCategory?: string;
+  reviewTopics?: { topic: string; count: number }[];
 }
 
 type ViewType = 'newScrape' | 'jobs' | 'reports';
@@ -106,6 +108,8 @@ export default function Home() {
           jobId: job.job_id,
           newCount: data.new_count,
           previousJobId: previousJob?.job_id,
+          businessCategory: job.business_category || undefined,
+          reviewTopics: job.review_topics || undefined,
         });
         setActiveView('reports');
       }
@@ -155,7 +159,7 @@ export default function Home() {
                 Back to Reports
               </button>
             </div>
-            <ReviewAnalytics reviews={selectedJob.reviews} businessName={selectedJob.businessName} businessUrl={selectedJob.businessUrl} newCount={selectedJob.newCount} />
+            <ReviewAnalytics reviews={selectedJob.reviews} businessName={selectedJob.businessName} businessUrl={selectedJob.businessUrl} newCount={selectedJob.newCount} businessCategory={selectedJob.businessCategory} reviewTopics={selectedJob.reviewTopics} />
           </div>
         ) : (
           <div className="h-full overflow-y-auto p-6">

web/components/ReviewAnalytics.tsx

@@ -22,14 +22,21 @@ interface ReviewWithNew extends Review {
   photo_urls?: string[] | null;
 }
 
+interface ReviewTopic {
+  topic: string;
+  count: number;
+}
+
 interface ReviewAnalyticsProps {
   reviews: ReviewWithNew[];
   businessName?: string;
   businessUrl?: string;
   newCount?: number;
+  businessCategory?: string;
+  reviewTopics?: ReviewTopic[];
 }
 
-export default function ReviewAnalytics({ reviews, businessName, businessUrl, newCount }: ReviewAnalyticsProps) {
+export default function ReviewAnalytics({ reviews, businessName, businessUrl, newCount, businessCategory, reviewTopics }: ReviewAnalyticsProps) {
   const [sorting, setSorting] = useState<SortingState>([{ id: 'date', desc: true }]); // Default: newest first
   const [columnFilters, setColumnFiltersState] = useState<ColumnFiltersState>([]);
   const [globalFilter, setGlobalFilter] = useState('');
@@ -476,9 +483,16 @@ export default function ReviewAnalytics({ reviews, businessName, businessUrl, ne
       {/* Header */}
       <div className="flex items-center justify-between">
         <div>
+          <div className="flex items-center gap-3">
             <h2 className="text-3xl font-bold text-gray-900">
               {businessName || 'Review Analytics'}
             </h2>
+            {businessCategory && (
+              <span className="px-3 py-1 bg-purple-100 text-purple-800 text-sm font-medium rounded-full border border-purple-300">
+                {businessCategory}
+              </span>
+            )}
+          </div>
           {businessUrl && (
             <a
               href={businessUrl}
@@ -821,6 +835,33 @@ export default function ReviewAnalytics({ reviews, businessName, businessUrl, ne
         </div>
       </div>
 
+      {/* Review Topics - from Google Maps */}
+      {reviewTopics && reviewTopics.length > 0 && (
+        <div className="bg-white border-2 border-gray-300 rounded-xl p-5 shadow-md">
+          <div className="flex items-center gap-2 mb-4">
+            <MessageSquare className="w-6 h-6 text-indigo-600" />
+            <h3 className="text-lg font-bold text-gray-900">What People Talk About</h3>
+            <span className="text-sm text-gray-500">({reviewTopics.length} topics from Google)</span>
+          </div>
+          <div className="flex flex-wrap gap-2">
+            {reviewTopics.slice(0, 15).map((topic, idx) => (
+              <div
+                key={idx}
+                className="px-3 py-1.5 bg-gradient-to-r from-indigo-50 to-purple-50 border border-indigo-200 rounded-full flex items-center gap-2"
+              >
+                <span className="text-sm font-medium text-indigo-800">{topic.topic}</span>
+                <span className="text-xs bg-indigo-200 text-indigo-900 px-1.5 py-0.5 rounded-full font-bold">
+                  {topic.count}
+                </span>
+              </div>
+            ))}
+          </div>
+          {reviewTopics.length > 15 && (
+            <p className="text-sm text-gray-500 mt-3">+{reviewTopics.length - 15} more topics</p>
+          )}
+        </div>
+      )}
+
       {/* Rating & Volume Timeline */}
       {timelineData.length > 0 && (
         <div className={`bg-white rounded-xl p-6 shadow-md transition-all ${

web/components/ScraperTest.tsx

@@ -15,7 +15,7 @@ interface Review {
 
 export interface JobStatus {
   job_id: string;
-  status: 'pending' | 'running' | 'completed' | 'failed';
+  status: 'pending' | 'running' | 'completed' | 'failed' | 'partial';
   url: string;
   created_at: string;
   started_at: string | null;
@@ -28,8 +28,11 @@ export interface JobStatus {
   // Business metadata for tracking and comparison
   business_name: string | null;
   business_address: string | null;
+  business_category: string | null;
   rating_snapshot: number | null;
   total_reviews_snapshot: number | null;
+  // Review topics extracted from Google Maps
+  review_topics: { topic: string; count: number }[] | null;
 }
 
 interface ScraperTestProps {
@@ -56,7 +59,64 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
   const [businessRating, setBusinessRating] = useState<number | null>(null);
   const [businessImage, setBusinessImage] = useState<string | null>(null);
   const [businessCategory, setBusinessCategory] = useState<string | null>(null);
+  const [userFingerprint, setUserFingerprint] = useState<{
+    geolocation?: {lat: number, lng: number},
+    userAgent?: string,
+    viewport?: {width: number, height: number},
+    timezone?: string,
+    language?: string,
+    platform?: string
+  }>({});
   const debounceRef = useRef<NodeJS.Timeout | null>(null);
+
+  // Collect browser fingerprint on mount (no permissions needed)
+  useEffect(() => {
+    const collectFingerprint = async () => {
+      const fingerprint: typeof userFingerprint = {};
+
+      // User agent
+      fingerprint.userAgent = navigator.userAgent;
+
+      // Screen/viewport size
+      fingerprint.viewport = {
+        width: window.screen.width,
+        height: window.screen.height
+      };
+
+      // Timezone
+      fingerprint.timezone = Intl.DateTimeFormat().resolvedOptions().timeZone;
+
+      // Language
+      fingerprint.language = navigator.language;
+
+      // Platform
+      fingerprint.platform = navigator.platform;
+
+      // Get approximate location from IP (no permission needed)
+      try {
+        const response = await fetch('https://ipapi.co/json/', {
+          signal: AbortSignal.timeout(3000)
+        });
+        if (response.ok) {
+          const data = await response.json();
+          if (data.latitude && data.longitude) {
+            fingerprint.geolocation = {
+              lat: data.latitude,
+              lng: data.longitude
+            };
+            console.log('IP location:', data.city, data.country_name);
+          }
+        }
+      } catch (error) {
+        console.log('IP geolocation not available');
+      }
+
+      setUserFingerprint(fingerprint);
+      console.log('Browser fingerprint:', fingerprint);
+    };
+
+    collectFingerprint();
+  }, []);
   const pollingIntervals = useRef<Map<string, NodeJS.Timeout>>(new Map());
   const abortControllerRef = useRef<AbortController | null>(null);
 
@@ -121,18 +181,23 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
     setBusinessCategory(null);
     setError('');
 
-    // Create new abort controller with 30 second timeout
+    // Create new abort controller with 60 second timeout (validation can be slow)
     const controller = new AbortController();
     abortControllerRef.current = controller;
-    const timeoutId = setTimeout(() => controller.abort(), 30000);
+    const timeoutId = setTimeout(() => controller.abort(), 60000);
 
     try {
-      const url = `https://www.google.com/maps/search/?api=1&query=${encodeURIComponent(query)}`;
+      // Force English with hl=en parameter
+      const url = `https://www.google.com/maps/search/?api=1&query=${encodeURIComponent(query)}&hl=en`;
 
       const response = await fetch('/api/check-reviews', {
         method: 'POST',
         headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ url }),
+        body: JSON.stringify({
+          url,
+          geolocation: userFingerprint.geolocation,
+          browser_fingerprint: userFingerprint  // Pass full fingerprint
+        }),
         signal: controller.signal,
       });
 
@@ -157,21 +222,30 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
     } catch (err) {
       clearTimeout(timeoutId);
 
-      // Ignore AbortError (happens when user starts a new validation)
+      // Check if this is a timeout abort vs user-initiated abort
       if (err instanceof Error && err.name === 'AbortError') {
+        // Check if it was a timeout (controller still matches) or user started new search
+        if (abortControllerRef.current === controller) {
+          // Timeout - show error
+          console.error('Validation timed out');
+          setError('Validation timed out. Please try again.');
+          setHasReviews(false);
+          setAvailableReviewCount(0);
+        } else {
+          // User started a new search - just return silently
           console.log('Validation cancelled (new validation started)');
           return;
         }
-
+      } else {
         console.error('Error getting business info:', err);
         // Error occurred
         setHasReviews(false);
         setAvailableReviewCount(0);
-    } finally {
-      // Only clear loading state if this controller wasn't aborted
-      if (!controller.signal.aborted) {
-        setIsCheckingReviews(false);
       }
+    } finally {
+      clearTimeout(timeoutId);
+      // Always clear loading state (even on timeout)
+      setIsCheckingReviews(false);
     }
   };
 
@@ -192,8 +266,8 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
           return newMap;
         });
 
-        // Stop polling if job is done
-        if (data.status === 'completed' || data.status === 'failed') {
+        // Stop polling if job is done (completed, failed, or partial)
+        if (data.status === 'completed' || data.status === 'failed' || data.status === 'partial') {
           const interval = pollingIntervals.current.get(jobId);
           if (interval) {
             clearInterval(interval);
@@ -244,8 +318,8 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
     setIsSubmitting(true);
     setShowConfirmModal(false);
 
-    // Use the search query to create a Google Maps search URL
-    const url = `https://www.google.com/maps/search/?api=1&query=${encodeURIComponent(searchedQuery)}`;
+    // Use the search query to create a Google Maps search URL (force English)
+    const url = `https://www.google.com/maps/search/?api=1&query=${encodeURIComponent(searchedQuery)}&hl=en`;
 
     try {
       const response = await fetch('/api/scrape', {
@@ -257,6 +331,8 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
           business_address: businessAddress,
           rating_snapshot: businessRating,
           total_reviews_snapshot: availableReviewCount,
+          geolocation: userFingerprint.geolocation,
+          browser_fingerprint: userFingerprint,  // Pass full fingerprint
         }),
       });
 
@@ -283,8 +359,10 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
           error_message: null,
           business_name: businessName,
           business_address: businessAddress,
+          business_category: businessCategory,
           rating_snapshot: businessRating,
           total_reviews_snapshot: availableReviewCount,
+          review_topics: null,  // Will be populated when job completes
         });
         return newMap;
       });
@@ -305,6 +383,7 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
       case 'completed': return 'text-green-700';
       case 'running': return 'text-blue-700';
       case 'failed': return 'text-red-700';
+      case 'partial': return 'text-orange-700';
       default: return 'text-gray-800';
     }
   };
@@ -325,6 +404,12 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
             <path fillRule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zM8.707 7.293a1 1 0 00-1.414 1.414L8.586 10l-1.293 1.293a1 1 0 101.414 1.414L10 11.414l1.293 1.293a1 1 0 001.414-1.414L11.414 10l1.293-1.293a1 1 0 00-1.414-1.414L10 8.586 8.707 7.293z" clipRule="evenodd" />
           </svg>
         );
+      case 'partial':
+        return (
+          <svg className="w-5 h-5 text-orange-500" fill="currentColor" viewBox="0 0 20 20">
+            <path fillRule="evenodd" d="M8.257 3.099c.765-1.36 2.722-1.36 3.486 0l5.58 9.92c.75 1.334-.213 2.98-1.742 2.98H4.42c-1.53 0-2.493-1.646-1.743-2.98l5.58-9.92zM11 13a1 1 0 11-2 0 1 1 0 012 0zm-1-8a1 1 0 00-1 1v3a1 1 0 002 0V6a1 1 0 00-1-1z" clipRule="evenodd" />
+          </svg>
+        );
       default:
         return (
           <svg className="w-5 h-5 text-gray-400" fill="currentColor" viewBox="0 0 20 20">
@@ -776,8 +861,8 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
                 )}
               </div>
 
-              {/* Action Buttons - Show when completed and has reviews */}
-              {job.status === 'completed' && job.reviews_count && job.reviews_count > 0 && (
+              {/* Action Buttons - Show when completed, partial, or running with reviews */}
+              {(job.status === 'completed' || job.status === 'partial' || (job.status === 'running' && job.reviews_count && job.reviews_count > 0)) && job.reviews_count && job.reviews_count > 0 && (
                 <div className="flex gap-3">
                   <button
                     onClick={async () => {
@@ -818,7 +903,13 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
                       }
                     }}
                     disabled={isLoadingReviews}
-                    className="flex-1 py-4 bg-gradient-to-r from-blue-600 to-indigo-700 text-white rounded-xl font-bold hover:from-blue-700 hover:to-indigo-800 transition-all flex items-center justify-center gap-2 shadow-lg disabled:opacity-50 disabled:cursor-not-allowed text-lg border-2 border-blue-500"
+                    className={`flex-1 py-4 text-white rounded-xl font-bold transition-all flex items-center justify-center gap-2 shadow-lg disabled:opacity-50 disabled:cursor-not-allowed text-lg border-2 ${
+                      job.status === 'partial'
+                        ? 'bg-gradient-to-r from-orange-500 to-amber-600 hover:from-orange-600 hover:to-amber-700 border-orange-400'
+                        : job.status === 'running'
+                        ? 'bg-gradient-to-r from-blue-500 to-cyan-600 hover:from-blue-600 hover:to-cyan-700 border-blue-400'
+                        : 'bg-gradient-to-r from-blue-600 to-indigo-700 hover:from-blue-700 hover:to-indigo-800 border-blue-500'
+                    }`}
                   >
                     {isLoadingReviews ? (
                       <>
@@ -830,7 +921,7 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
                         <svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                           <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z" />
                         </svg>
-                        📊 Open Analytics Dashboard
+                        📊 {job.status === 'running' ? 'Preview Analytics' : job.status === 'partial' ? 'View Partial Data' : 'Open Analytics Dashboard'}
                       </>
                     )}
                   </button>
@@ -845,7 +936,7 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
                           const url = URL.createObjectURL(blob);
                           const a = document.createElement('a');
                           a.href = url;
-                          a.download = `reviews-${job.job_id}.json`;
+                          a.download = `reviews-${job.job_id}${job.status === 'partial' ? '-partial' : ''}.json`;
                           a.click();
                         }
                       } catch (err) {
@@ -862,6 +953,24 @@ export default function ScraperTest({ onJobsChange, onSelectReviews }: ScraperTe
                 </div>
               )}
 
+              {/* Partial Job Warning */}
+              {job.status === 'partial' && (
+                <div className="mt-4 p-4 bg-orange-100 border-2 border-orange-300 rounded-lg">
+                  <div className="flex items-start gap-2">
+                    <svg className="w-5 h-5 text-orange-700 flex-shrink-0 mt-0.5" fill="currentColor" viewBox="0 0 20 20">
+                      <path fillRule="evenodd" d="M8.257 3.099c.765-1.36 2.722-1.36 3.486 0l5.58 9.92c.75 1.334-.213 2.98-1.742 2.98H4.42c-1.53 0-2.493-1.646-1.743-2.98l5.58-9.92zM11 13a1 1 0 11-2 0 1 1 0 012 0zm-1-8a1 1 0 00-1 1v3a1 1 0 002 0V6a1 1 0 00-1-1z" clipRule="evenodd" />
+                    </svg>
+                    <div>
+                      <p className="font-bold text-orange-900">Partial Results</p>
+                      <p className="text-sm text-orange-800 mt-1">
+                        This job was interrupted but {job.reviews_count} reviews were saved.
+                        {job.error_message && <span className="block mt-1 text-orange-700">Reason: {job.error_message}</span>}
+                      </p>
+                    </div>
+                  </div>
+                </div>
+              )}
+
               {/* Error Message */}
               {job.status === 'failed' && job.error_message && (
                 <div className="mt-4 p-4 bg-red-100 border-2 border-red-300 rounded-lg">

web/lib/analytics.ts

@@ -66,7 +66,9 @@ export function calculateReviewStats(reviews: Review[]): ReviewStats {
   // Populate minDate/maxDate/centerDate on reviews for display
   reviews.forEach(r => {
     if (!r.minDate || !r.maxDate || !r.centerDate) {
-      const range = parseDateTextToRange(r.date_text);
+      // Handle both date_text and timestamp field names
+      const dateText = r.date_text || (r as any).timestamp || '';
+      const range = parseDateTextToRange(dateText);
       r.minDate = range.minDate;
       r.maxDate = range.maxDate;
       // Calculate centerDate as midpoint
@@ -96,8 +98,8 @@ export function calculateReviewStats(reviews: Review[]): ReviewStats {
 
   // Recent reviews (last 30 days - simplified check)
   const recentReviews = reviews.filter(r => {
-    const text = r.date_text.toLowerCase();
-    return text.includes('day') || text.includes('week') || text.includes('hour');
+    const text = (r.date_text || (r as any).timestamp || '').toLowerCase();
+    return text.includes('day') || text.includes('week') || text.includes('hour') || text.includes('minute') || text.includes('second');
   }).length;
 
   // Rating distribution
@@ -278,6 +280,14 @@ function extractNumber(text: string): number {
  */
 export function parseDateTextToRange(dateText: string): { minDate: Date; maxDate: Date } {
   const now = new Date();
+
+  // Handle undefined/null dateText
+  if (!dateText) {
+    // Return a default range (assume recent - within last month)
+    const daysAgo = (days: number) => new Date(now.getTime() - days * 24 * 60 * 60 * 1000);
+    return { minDate: daysAgo(30), maxDate: now };
+  }
+
   const text = dateText.toLowerCase();
 
   // Remove "Edited " prefix if present
@@ -396,7 +406,8 @@ export function filterReviewsByDateRange(reviews: Review[], range: DateRange): R
   // Filter range: [filterStart, filterEnd]
   // Overlap occurs when: minDate <= filterEnd AND maxDate >= filterStart
   return reviews.filter(r => {
-    const { minDate, maxDate } = parseDateTextToRange(r.date_text);
+    const dateText = r.date_text || (r as any).timestamp || '';
+    const { minDate, maxDate } = parseDateTextToRange(dateText);
     return minDate <= filterEnd && maxDate >= filterStart;
   });
 }
@@ -405,7 +416,8 @@ export function filterReviewsByCustomDateRange(reviews: Review[], fromDate: Date
   if (!fromDate && !toDate) return reviews;
 
   return reviews.filter(r => {
-    const reviewDate = parseDateText(r.date_text);
+    const dateText = r.date_text || (r as any).timestamp || '';
+    const reviewDate = parseDateText(dateText);
 
     // If only fromDate is set, filter reviews >= fromDate
     if (fromDate && !toDate) {
@@ -429,7 +441,7 @@ export function filterReviewsByCustomDateRange(reviews: Review[], fromDate: Date
 export function calculateTimelineData(reviews: Review[]): TimelineDataPoint[] {
   // Sort reviews by date (newest first)
   const sortedReviews = [...reviews]
-    .map(r => ({ ...r, parsedDate: parseDateText(r.date_text) }))
+    .map(r => ({ ...r, parsedDate: parseDateText(r.date_text || (r as any).timestamp || '') }))
     .sort((a, b) => b.parsedDate.getTime() - a.parsedDate.getTime());
 
   // Group by month