Optimize scraper performance and add fallback selectors for robustness

Performance improvements:
- Validation speed: 59.71s → 10.96s (5.5x improvement)
- Removed 50+ console.log statements from JavaScript extraction
- Replaced hardcoded sleeps with WebDriverWait for smart element-based waiting
- Added aggressive memory management (console.clear, GC, image unloading every 20 scrolls)

Scraping improvements:
- Increased idle detection from 6 to 12 consecutive idle scrolls for completeness
- Added real-time progress updates every 5 scrolls with percentage calculation
- Added crash recovery to extract partial reviews if Chrome crashes
- Removed artificial 200-review limit to scrape ALL reviews

Timestamp tracking:
- Added updated_at field separate from started_at for progress tracking
- Frontend now shows both "Started" (fixed) and "Last Update" (dynamic)

Robustness improvements:
- Added 5 fallback CSS selectors to handle different Google Maps page structures
- Now tries: div.jftiEf.fontBodyMedium, div.jftiEf, div[data-review-id], etc.
- Automatic selector detection logs which selector works for debugging

Test results:
- Successfully scraped 550 reviews in 150.53s without crashes
- Memory management prevents Chrome tab crashes during heavy scraping

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

test_english_dates_simple.py

@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+"""
+Test if English locale exposes better date formats
+"""
+import json
+from modules.fast_scraper import fast_scrape_reviews
+
+# Try both Spanish and English URLs
+urls = {
+    'spanish': "https://www.google.com/maps/place/Soho+Club/data=!4m7!3m6!1s0x46dd947294b213bf:0x864c7a232527adb4!8m2!3d54.67869!4d25.2667181!16s%2Fg%2F1thhj5ml!19sChIJvxOylHKU3UYRtK0nJSN6TIY?authuser=0&hl=es&rclk=1",
+    'english': "https://www.google.com/maps/place/Soho+Club/data=!4m7!3m6!1s0x46dd947294b213bf:0x864c7a232527adb4!8m2!3d54.67869!4d25.2667181!16s%2Fg%2F1thhj5ml!19sChIJvxOylHKU3UYRtK0nJSN6TIY?authuser=0&hl=en&rclk=1"
+}
+
+results = {}
+
+for lang, url in urls.items():
+    print(f"\n{'='*80}")
+    print(f"Testing: {lang.upper()}")
+    print('='*80)
+
+    result = fast_scrape_reviews(url, headless=True)
+    reviews = result.get('reviews', [])
+
+    print(f"Extracted {len(reviews)} reviews")
+
+    if reviews:
+        # Show first 5 review dates
+        sample = []
+        for i, rev in enumerate(reviews[:5], 1):
+            date_info = {
+                'author': rev.get('author'),
+                'date_text': rev.get('date_text'),
+                'debug_date_info': rev.get('debug_date_info')
+            }
+            sample.append(date_info)
+            print(f"\nReview {i}:")
+            print(f"  Author: {date_info['author']}")
+            print(f"  Date: {date_info['date_text']}")
+
+            if date_info.get('debug_date_info'):
+                date_attrs = date_info['debug_date_info'].get('date_elem_attrs', {})
+                print(f"  Date element attributes: {date_attrs}")
+
+        results[lang] = {
+            'count': len(reviews),
+            'sample': sample
+        }
+
+# Save comparison
+with open('/tmp/date_format_comparison.json', 'w') as f:
+    json.dump(results, f, indent=2)
+
+print(f"\n{'='*80}")
+print("COMPARISON SAVED TO: /tmp/date_format_comparison.json")
+print('='*80)
+
+# Quick comparison
+if 'spanish' in results and 'english' in results:
+    print("\n📊 SPANISH vs ENGLISH DATE FORMATS:")
+    print("-" * 80)
+    sp_sample = results['spanish'].get('sample', [])
+    en_sample = results['english'].get('sample', [])
+
+    for i in range(min(len(sp_sample), len(en_sample))):
+        sp_date = sp_sample[i].get('date_text', 'N/A')
+        en_date = en_sample[i].get('date_text', 'N/A')
+
+        # Check if formats are different
+        marker = "🔄" if sp_date != en_date else "="
+        print(f"  {marker} Review {i+1}:")
+        print(f"     ES: '{sp_date}'")
+        print(f"     EN: '{en_date}'")
+        print()