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Apollo Rate Limits

ASecurity

Implement Apollo.io rate limiting and backoff. Use when handling rate limits, implementing retry logic, or optimizing API request throughput. Trigger with phrases like "apollo rate limit", "apollo 429", "apollo throttling", "apollo backoff", "apollo request limits".

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  • Added February 7, 2026
securitytypescriptgobashgitapisecurity

Works with

  • api

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A100/100

Scanned February 10, 2026

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SKILL.md
---
name: apollo-rate-limits
description: |
  Implement Apollo.io rate limiting and backoff.
  Use when handling rate limits, implementing retry logic,
  or optimizing API request throughput.
  Trigger with phrases like "apollo rate limit", "apollo 429",
  "apollo throttling", "apollo backoff", "apollo request limits".
allowed-tools: Read, Grep, Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# Apollo Rate Limits

## Overview
Implement robust rate limiting and backoff strategies for Apollo.io API to maximize throughput while avoiding 429 errors.

## Apollo Rate Limits

| Endpoint Category | Rate Limit | Window | Burst Limit |
|-------------------|------------|--------|-------------|
| People Search | 100/min | 1 minute | 10/sec |
| Person Enrichment | 100/min | 1 minute | 10/sec |
| Organization Enrichment | 100/min | 1 minute | 10/sec |
| Sequences/Campaigns | 50/min | 1 minute | 5/sec |
| Bulk Operations | 10/min | 1 minute | 2/sec |
| General API | 100/min | 1 minute | 10/sec |

## Rate Limit Headers

```bash
# Check current rate limit status
curl -I -X POST "https://api.apollo.io/v1/people/search" \
  -H "Content-Type: application/json" \
  -d '{"api_key": "'$APOLLO_API_KEY'", "per_page": 1}'

# Response headers:
# X-RateLimit-Limit: 100
# X-RateLimit-Remaining: 95
# X-RateLimit-Reset: 1640000000
# Retry-After: 60  (only when rate limited)
```

## Implementation: Rate Limiter Class

```typescript
// src/lib/apollo/rate-limiter.ts
interface RateLimiterConfig {
  maxRequests: number;
  windowMs: number;
  minSpacingMs: number;
}

class RateLimiter {
  private queue: Array<{
    resolve: (value: void) => void;
    reject: (error: Error) => void;
  }> = [];
  private requestTimestamps: number[] = [];
  private lastRequestTime = 0;
  private processing = false;

  constructor(private config: RateLimiterConfig) {}

  async acquire(): Promise<void> {
    return new Promise((resolve, reject) => {
      this.queue.push({ resolve, reject });
      this.processQueue();
    });
  }

  private async processQueue() {
    if (this.processing || this.queue.length === 0) return;
    this.processing = true;

    while (this.queue.length > 0) {
      // Clean old timestamps outside window
      const now = Date.now();
      this.requestTimestamps = this.requestTimestamps.filter(
        (ts) => now - ts < this.config.windowMs
      );

      // Check if we're at capacity
      if (this.requestTimestamps.length >= this.config.maxRequests) {
        const oldestTs = this.requestTimestamps[0];
        const waitTime = this.config.windowMs - (now - oldestTs) + 100;
        await this.wait(waitTime);
        continue;
      }

      // Enforce minimum spacing
      const timeSinceLastRequest = now - this.lastRequestTime;
      if (timeSinceLastRequest < this.config.minSpacingMs) {
        await this.wait(this.config.minSpacingMs - timeSinceLastRequest);
      }

      // Process next request
      const item = this.queue.shift()!;
      this.requestTimestamps.push(Date.now());
      this.lastRequestTime = Date.now();
      item.resolve();
    }

    this.processing = false;
  }

  private wait(ms: number): Promise<void> {
    return new Promise((resolve) => setTimeout(resolve, ms));
  }
}

// Create rate limiter for Apollo
export const apolloRateLimiter = new RateLimiter({
  maxRequests: 90, // Leave buffer below 100
  windowMs: 60000,
  minSpacingMs: 100, // 100ms between requests
});
```

## Implementation: Exponential Backoff

```typescript
// src/lib/apollo/backoff.ts
interface BackoffConfig {
  initialDelayMs: number;
  maxDelayMs: number;
  maxRetries: number;
  multiplier: number;
  jitter: boolean;
}

const defaultConfig: BackoffConfig = {
  initialDelayMs: 1000,
  maxDelayMs: 60000,
  maxRetries: 5,
  multiplier: 2,
  jitter: true,
};

export async function withBackoff<T>(
  fn: () => Promise<T>,
  config: Partial<BackoffConfig> = {}
): Promise<T> {
  const cfg = { ...defaultConfig, ...config };
  let lastError: Error;
  let delay = cfg.initialDelayMs;

  for (let attempt = 0; attempt <= cfg.maxRetries; attempt++) {
    try {
      await apolloRateLimiter.acquire();
      return await fn();
    } catch (error: any) {
      lastError = error;

      // Check if retryable
      const status = error.response?.status;
      if (status === 401 || status === 403 || status === 422) {
        throw error; // Don't retry auth/validation errors
      }

      if (attempt === cfg.maxRetries) {
        break;
      }

      // Get delay from Retry-After header or calculate
      const retryAfter = error.response?.headers?.['retry-after'];
      if (retryAfter) {
        delay = parseInt(retryAfter) * 1000;
      }

      // Add jitter to prevent thundering herd
      const jitter = cfg.jitter ? Math.random() * 1000 : 0;
      const actualDelay = Math.min(delay + jitter, cfg.maxDelayMs);

      console.log(`Retry ${attempt + 1}/${cfg.maxRetries} after ${actualDelay}ms`);
      await new Promise((r) => setTimeout(r, actualDelay));

      delay *= cfg.multiplier;
    }
  }

  throw lastError!;
}
```

## Implementation: Request Queue

```typescript
// src/lib/apollo/request-queue.ts
import PQueue from 'p-queue';

// Concurrency-limited queue
export const apolloQueue = new PQueue({
  concurrency: 5, // Max 5 concurrent requests
  interval: 1000, // Per second
  intervalCap: 10, // Max 10 per interval
});

// Usage
async function batchSearchPeople(domains: string[]): Promise<Person[]> {
  const results = await Promise.all(
    domains.map((domain) =>
      apolloQueue.add(() =>
        withBackoff(() => apollo.searchPeople({ q_organization_domains: [domain] }))
      )
    )
  );

  return results.flat().map((r) => r?.people || []).flat();
}
```

## Usage Patterns

### Pattern 1: Simple Rate-Limited Request
```typescript
import { withBackoff } from './backoff';

const people = await withBackoff(() =>
  apollo.searchPeople({
    q_organization_domains: ['stripe.com'],
    per_page: 100,
  })
);
```

### Pattern 2: Batch Processing with Queue
```typescript
import { apolloQueue } from './request-queue';

async function enrichCompanies(domains: string[]) {
  const results = [];

  for (const domain of domains) {
    const result = await apolloQueue.add(
      () => withBackoff(() => apollo.enrichOrganization(domain)),
      { priority: 1 } // Lower priority
    );
    results.push(result);
  }

  return results;
}
```

### Pattern 3: Priority Queue for Interactive vs Background
```typescript
// High priority for user-facing requests
async function interactiveSearch(query: string) {
  return apolloQueue.add(
    () => withBackoff(() => apollo.searchPeople({ q_keywords: query })),
    { priority: 0 } // Highest priority
  );
}

// Low priority for background sync
async function backgroundSync(contacts: string[]) {
  return Promise.all(
    contacts.map((id) =>
      apolloQueue.add(
        () => withBackoff(() => apollo.getContact(id)),
        { priority: 10 } // Low priority
      )
    )
  );
}
```

## Monitoring Rate Limit Usage

```typescript
// src/lib/apollo/rate-monitor.ts
class RateLimitMonitor {
  private requests: Array<{ timestamp: number; remaining: number }> = [];

  recordRequest(remaining: number) {
    this.requests.push({
      timestamp: Date.now(),
      remaining,
    });

    // Keep only last 5 minutes
    const cutoff = Date.now() - 5 * 60 * 1000;
    this.requests = this.requests.filter((r) => r.timestamp > cutoff);
  }

  getStats() {
    const lastMinute = this.requests.filter(
      (r) => r.timestamp > Date.now() - 60000
    );

    return {
      requestsLastMinute: lastMinute.length,
      currentRemaining: lastMinute[lastMinute.length - 1]?.remaining ?? 100,
      utilizationPercent: (lastMinute.length / 100) * 100,
      isNearLimit: lastMinute.length > 80,
    };
  }
}

export const rateLimitMonitor = new RateLimitMonitor();
```

## Output
- Rate limiter class with token bucket algorithm
- Exponential backoff with jitter
- Request queue with concurrency control
- Priority-based request scheduling
- Rate limit monitoring and alerts

## Error Handling
| Scenario | Strategy |
|----------|----------|
| 429 response | Use Retry-After header |
| Burst limit hit | Add minimum spacing |
| Sustained limit | Queue with concurrency |
| Network timeout | Exponential backoff |

## Resources
- [Apollo Rate Limits](https://apolloio.github.io/apollo-api-docs/#rate-limits)
- [p-queue Library](https://github.com/sindresorhus/p-queue)
- [Exponential Backoff](https://cloud.google.com/storage/docs/exponential-backoff)

## Next Steps
Proceed to `apollo-security-basics` for API security best practices.

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