canva-rate-limits

Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".

1,868 stars

Best use case

canva-rate-limits is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".

Teams using canva-rate-limits should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/canva-rate-limits/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/canva-pack/skills/canva-rate-limits/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/canva-rate-limits/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How canva-rate-limits Compares

Feature / Agentcanva-rate-limitsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Canva Rate Limits

## Overview

The Canva Connect API enforces per-user, per-endpoint rate limits. Each endpoint has different thresholds. A 429 response means you must wait before retrying.

## Canva Connect API Rate Limits

| Endpoint | Method | Limit |
|----------|--------|-------|
| `/v1/users/me` | GET | 10 req/min |
| `/v1/users/me/profile` | GET | 10 req/min |
| `/v1/designs` | GET | 100 req/min |
| `/v1/designs` | POST | 20 req/min |
| `/v1/designs/{id}` | GET | 100 req/min |
| `/v1/exports` | POST | 75 req/5min, 500/24hr per user |
| `/v1/exports` (integration) | POST | 750 req/5min, 5000/24hr |
| `/v1/exports` (per document) | POST | 75 req/5min |
| `/v1/asset-uploads` | POST | 30 req/min |
| `/v1/autofills` | POST | 60 req/min |
| `/v1/folders` | POST | 20 req/min |
| `/v1/brand-templates` | GET | 100 req/min |

All limits are **per user** of your integration unless noted otherwise.

## Exponential Backoff with Jitter

```typescript
async function canvaRequestWithBackoff<T>(
  fn: () => Promise<T>,
  config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 60000 }
): Promise<T> {
  for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
    try {
      return await fn();
    } catch (error: any) {
      if (attempt === config.maxRetries) throw error;

      // Only retry on 429 or 5xx
      const status = error.status || error.response?.status;
      if (status !== 429 && (status < 500 || status >= 600)) throw error;

      // Honor Retry-After header if present
      const retryAfter = error.headers?.get?.('Retry-After');
      const delay = retryAfter
        ? parseInt(retryAfter) * 1000
        : Math.min(
            config.baseDelayMs * Math.pow(2, attempt) + Math.random() * 1000,
            config.maxDelayMs
          );

      console.warn(`Rate limited (attempt ${attempt + 1}/${config.maxRetries}). Waiting ${(delay / 1000).toFixed(1)}s`);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Unreachable');
}
```

## Queue-Based Rate Limiting

```typescript
import PQueue from 'p-queue';

// Match per-user endpoint limits
const canvaQueues = {
  designs: new PQueue({ concurrency: 1, interval: 3000, intervalCap: 1 }),     // ~20/min
  exports: new PQueue({ concurrency: 1, interval: 4000, intervalCap: 1 }),     // ~15/min (conservative)
  assets:  new PQueue({ concurrency: 1, interval: 2000, intervalCap: 1 }),     // ~30/min
  reads:   new PQueue({ concurrency: 3, interval: 1000, intervalCap: 3 }),     // ~100/min (shared reads)
};

// Usage — automatically queued to stay under limits
const design = await canvaQueues.designs.add(() =>
  client.createDesign({ design_type: { type: 'custom', width: 1080, height: 1080 }, title: 'Queued' })
);

// Batch export with rate control
const designIds = ['DAV1', 'DAV2', 'DAV3', 'DAV4', 'DAV5'];
const exports = await Promise.all(
  designIds.map(id =>
    canvaQueues.exports.add(() =>
      client.createExport({ design_id: id, format: { type: 'pdf' } })
    )
  )
);
```

## Rate Limit Monitor

```typescript
class CanvaRateLimitTracker {
  private windows: Map<string, { count: number; resetAt: number }> = new Map();

  track(endpoint: string, response: Response): void {
    const remaining = response.headers.get('X-RateLimit-Remaining');
    const reset = response.headers.get('X-RateLimit-Reset');

    if (remaining !== null) {
      this.windows.set(endpoint, {
        count: parseInt(remaining),
        resetAt: reset ? parseInt(reset) * 1000 : Date.now() + 60000,
      });
    }
  }

  shouldThrottle(endpoint: string): boolean {
    const window = this.windows.get(endpoint);
    if (!window) return false;
    return window.count < 3 && Date.now() < window.resetAt;
  }

  getWaitMs(endpoint: string): number {
    const window = this.windows.get(endpoint);
    if (!window) return 0;
    return Math.max(0, window.resetAt - Date.now());
  }

  report(): Record<string, { remaining: number; resetsIn: string }> {
    const report: Record<string, any> = {};
    for (const [ep, w] of this.windows) {
      report[ep] = {
        remaining: w.count,
        resetsIn: `${Math.max(0, (w.resetAt - Date.now()) / 1000).toFixed(0)}s`,
      };
    }
    return report;
  }
}
```

## Proactive Throttling

```typescript
// Wrap the client to throttle before hitting limits
async function throttledCanvaRequest<T>(
  tracker: CanvaRateLimitTracker,
  endpoint: string,
  fn: () => Promise<T>
): Promise<T> {
  if (tracker.shouldThrottle(endpoint)) {
    const waitMs = tracker.getWaitMs(endpoint);
    console.log(`Proactively waiting ${waitMs}ms for ${endpoint}`);
    await new Promise(r => setTimeout(r, waitMs));
  }
  return fn();
}
```

## Error Handling

| Scenario | Detection | Action |
|----------|-----------|--------|
| Single 429 | HTTP status | Wait `Retry-After` seconds, retry |
| Sustained 429s | Multiple retries fail | Reduce request rate, increase backoff |
| Export quota hit | 500/24hr per user | Queue exports, spread across hours |
| Integration quota | 5000/24hr exports | Distribute across users |

## Resources

- [API Requests & Responses](https://www.canva.dev/docs/connect/api-requests-responses/)
- [p-queue](https://github.com/sindresorhus/p-queue)

## Next Steps

For security configuration, see `canva-security-basics`.

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