Notion Load & Scale

Overview

Patterns for high-volume Notion API usage within the 3 requests/second rate limit. Covers parallel request orchestration with p-queue, worker queue architecture for background processing, full database pagination at scale (100K+ records), incremental sync using last_edited_time filters to avoid re-fetching unchanged data, and memory management for bulk operations using streaming and chunked processing.

Prerequisites

• @notionhq/client v2.x installed (npm install @notionhq/client)
• p-queue for rate-limited concurrency (npm install p-queue)
• Python: notion-client installed (pip install notion-client)
• NOTION_TOKEN set (each token gets its own 3 req/s limit)
• Test database in Notion (dedicated for load testing)

Instructions

Step 1: Parallel Requests Within Rate Limits

Notion enforces 3 requests/second per integration token. Use p-queue to maximize throughput without hitting 429 errors.