Add Python web scraper for NJC travel rates with currency extraction

- Implemented Python scraper using BeautifulSoup and pandas to automatically collect travel rates from official NJC website
- Added currency extraction from table titles (supports EUR, USD, AUD, CAD, ARS, etc.)
- Added country extraction from table titles for international rates
- Flatten pandas MultiIndex columns for cleaner data structure
- Default to CAD for domestic Canadian sources (accommodations and domestic tables)
- Created SQLite database schema (raw_tables, rate_entries, exchange_rates, accommodations)
- Successfully scraped 92 tables with 17,205 rate entries covering 25 international cities
- Added migration script to convert scraped data to Node.js database format
- Updated .gitignore for Python files (.venv/, __pycache__, *.pyc, *.sqlite3)
- Fixed city validation and currency conversion in main app
- Added comprehensive debug and verification scripts

This replaces manual JSON maintenance with automated data collection from official government source.

extract_cities2.js

@@ -0,0 +1,38 @@
+const fs = require("fs");
+
+// Read accommodation rates
+const accomData = JSON.parse(
+  fs.readFileSync("./data/accommodationRates.json", "utf8")
+);
+const canadianCities = Object.keys(accomData.cities);
+const internationalCities = Object.keys(accomData.internationalCities || {});
+
+console.log("=== ACCOMMODATION CITIES ===");
+console.log(`Canadian: ${canadianCities.length}`);
+console.log(`International: ${internationalCities.length}`);
+console.log(`Total: ${canadianCities.length + internationalCities.length}\n`);
+
+// Now get existing airport codes from flightService.js
+const flightService = fs.readFileSync("./flightService.js", "utf8");
+
+console.log("=== MISSING AIRPORT CODES ===");
+const missing = [];
+internationalCities.forEach((key) => {
+  const normalized = key.toLowerCase();
+  if (
+    !flightService.includes(`${normalized}:`) &&
+    !flightService.includes(`"${normalized}":`)
+  ) {
+    const city = accomData.internationalCities[key];
+    missing.push(
+      `    "${normalized}": "???", // ${city.name} (${
+        city.country || city.region
+      })`
+    );
+  }
+});
+
+missing.forEach((m) => console.log(m));
+console.log(`\n=== SUMMARY ===`);
+console.log(`Total international cities: ${internationalCities.length}`);
+console.log(`Missing airport codes: ${missing.length}`);