notion-rate-limits

Installation
SKILL.md

Notion Rate Limits

Overview

The Notion API enforces 3 requests per second per integration token across all endpoints and tiers. Exceeding this returns HTTP 429 with a Retry-After header. Detect with isNotionClientError() + APIErrorCode.RateLimited, implement exponential backoff with jitter, and use queue-based throttling for high-throughput workloads.

Prerequisites

  • @notionhq/client v2.x (TypeScript) or notion-client (Python)
  • Integration token in NOTION_TOKEN from notion.so/my-integrations
  • For queue patterns: p-queue v8+ (npm install p-queue)

Instructions

Step 1 — Detect Rate Limits and Apply Exponential Backoff

Aspect Value
Rate limit 3 req/s per integration token (all tiers)
Throttle response HTTP 429 + Retry-After header (seconds)
Scope Per token, not per user or workspace
Max block children 1,000 per blocks.children.append
Max page size 100 results per paginated request

The SDK retries 429 automatically (2 retries, 3 total attempts). For heavier workloads, use custom backoff that honors Retry-After and adds jitter to prevent thundering herd:

import { Client, isNotionClientError, APIErrorCode } from '@notionhq/client';

const notion = new Client({ auth: process.env.NOTION_TOKEN });

async function withBackoff<T>(
  fn: () => Promise<T>,
  maxRetries = 5, baseMs = 1000, maxMs = 32_000
): Promise<T> {
  for (let i = 0; i <= maxRetries; i++) {
    try { return await fn(); }
    catch (err) {
      if (i === maxRetries) throw err;
      if (isNotionClientError(err) && err.code === APIErrorCode.RateLimited) {
        const wait = parseInt((err as any).headers?.['retry-after'] ?? '1', 10);
        await new Promise(r => setTimeout(r, wait * 1000));
        continue;
      }
      if (isNotionClientError(err) && err.status && err.status < 500) throw err;
      const delay = Math.min(baseMs * 2 ** i + Math.random() * 500, maxMs);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Exhausted retries');
}

Step 2 — Throttle with Queue-Based Request Management

Enforce the 3 req/s limit at the application level instead of relying on 429 responses:

import PQueue from 'p-queue';

const queue = new PQueue({
  concurrency: 3, interval: 1000, intervalCap: 3,
  carryoverConcurrencyCount: true,
});

async function throttled<T>(fn: () => Promise<T>): Promise<T> {
  return queue.add(fn, { throwOnTimeout: true }) as Promise<T>;
}

// Fetch 50 pages — automatically throttled to 3/s
const pages = await Promise.all(
  pageIds.map(id => throttled(() => notion.pages.retrieve({ page_id: id })))
);

Step 3 — Optimize Batch Operations to Minimize API Calls

Set page_size: 100 on every paginated query. Batch block appends into chunks of 100 instead of one-per-block. See batch patterns for full implementations with progress tracking.

// Paginate with max page size
async function queryAll(dbId: string, filter?: any) {
  const results = [];
  let cursor: string | undefined;
  do {
    const resp = await throttled(() => notion.databases.query({
      database_id: dbId, page_size: 100, start_cursor: cursor, filter,
    }));
    results.push(...resp.results);
    cursor = resp.has_more ? resp.next_cursor ?? undefined : undefined;
  } while (cursor);
  return results;
}

Output

  • 429 errors retried automatically using Retry-After headers with jitter
  • Queue-based throttling keeps requests at 3/s proactively
  • Batch operations reduce total API calls via chunking and max page_size

Error Handling

Scenario Strategy
Single 429 Honor Retry-After, retry once
Repeated 429s Exponential backoff + reduce concurrency
Bulk ops (50+ items) Queue with p-queue at 3 req/s
Server error (5xx) Backoff + retry up to 5 attempts
Client error (4xx) Do not retry — fix the request

Examples

See full TypeScript and Python examples for database sync, bulk export, and rate limit monitoring patterns.

Resources

Next Steps

  • See notion-common-errors for 401/403/404 troubleshooting alongside rate limits
  • See notion-sdk-patterns for query patterns that work with these strategies
  • See notion-search-retrieve for optimizing search to reduce API call volume
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