Add alphabet navigation to scraper - now collects ALL 233 countries

- Implemented alphabet navigation (A-Z) for NJC international rates page
- Added request delays (2s) and retry logic with exponential backoff to avoid server timeouts
- Added error handling for pages without tables
- Installed html5lib for better HTML parsing
- Now scrapes 233 countries (up from 15) with 104 unique currencies
- Total 11,628 international rate entries collected
- Added verification scripts to check all countries and their currencies
- Fixed currency extraction working perfectly for EUR, USD, CAD, AUD, ARS, and 99+ other currencies

scripts/final_stats.py

@@ -0,0 +1,37 @@
+import sqlite3
+
+conn = sqlite3.connect('data/travel_rates_scraped.sqlite3')
+cursor = conn.cursor()
+
+# Count countries
+cursor.execute('SELECT COUNT(DISTINCT country) FROM rate_entries WHERE source="international" AND country IS NOT NULL')
+total_countries = cursor.fetchone()[0]
+
+# Count total entries
+cursor.execute('SELECT COUNT(*) FROM rate_entries WHERE source="international"')
+total_entries = cursor.fetchone()[0]
+
+# Count unique currencies
+cursor.execute('SELECT COUNT(DISTINCT currency) FROM rate_entries WHERE source="international"')
+total_currencies = cursor.fetchone()[0]
+
+print(f"✅ COMPLETE SCRAPER RESULTS:")
+print(f"   Total Countries: {total_countries}")
+print(f"   Total Entries: {total_entries:,}")
+print(f"   Unique Currencies: {total_currencies}")
+
+# Show currency breakdown
+cursor.execute("""
+    SELECT currency, COUNT(DISTINCT country) as country_count, COUNT(*) as entries
+    FROM rate_entries 
+    WHERE source="international"
+    GROUP BY currency
+    ORDER BY country_count DESC
+    LIMIT 20
+""")
+
+print(f"\nTop 20 Currencies:")
+for row in cursor.fetchall():
+    print(f"   {row[0]:5} - {row[1]:3} countries, {row[2]:,} entries")
+
+conn.close()