serpapi-performance-tuning

# SerpApi Performance Tuning ## Overview SerpApi typical latency: 2-5 seconds per search (real-time scraping). Main optimization: aggressive caching since search results change slowly. Secondary: use Google Light API for faster responses, reduce `num` parameter, and parallelize independent searches. ## Instructions ### Step 1: Multi-Layer Caching ```typescript import { LRUCache } from 'lru-cache'; import { Redis } from 'ioredis'; import { getJson } from 'serpapi'; // L1: In-memory (fastest, per-instance) const l1 = new LRUCache<string, any>({ max: 1000, ttl: 600_000 }); // 10 min // L2: Redis (shared across instances) const redis = new Redis(process.env.REDIS_URL!); async function cachedSearch(params: Record<string, any>): Promise<any> { const key = `serpapi:${JSON.stringify(params)}`; // L1 check const l1Hit = l1.get(key); if (l1Hit) return l1Hit; // L2 check const l2Hit = await redis.get(key); if (l2Hit) { const parsed = JSON.parse(l2Hit); l1.set(key, parsed); return parsed; } // Cache miss: real API call const result = await getJson({ ...params, api_key: process.env.SERPAPI_API_KEY }); l1.set(key, result); await redis.setex(key, 3600, JSON.stringify(result)); // 1 hour in Redis return result; } ``` ### Step 2: Google Light API (Faster) ```python # Google Light API: ~1s instead of 2-5s, limited result fields result = client.search(engine="google_light", q="fast query", num=5) # Returns: organic_results with title, link, sni...