Notion Performance Tuning

Overview

Optimize Notion API performance by minimizing API calls, caching responses with TTL-based invalidation, batching block appends, parallelizing requests within rate limits, selecting only needed properties, and implementing incremental sync patterns. Target latency benchmarks: Database Query p50=150ms, Page Create p50=200ms, Search p50=300ms.

Prerequisites

• @notionhq/client installed (npm install @notionhq/client)
• p-queue for rate-limited parallelism (npm install p-queue)
• lru-cache for TTL-based caching (npm install lru-cache)
• Understanding of your access patterns (read-heavy vs write-heavy)
• Optional: Redis or ioredis for distributed caching across instances

Instructions

Step 1: Minimize API Calls and Reduce Payload

Avoid N+1 query patterns. Use page_size: 100 (the maximum) to reduce pagination requests. Select only the properties you need in database queries to shrink response payloads.