Skip to content
Skillv1.0.0

apollo-rate-limits

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

by jeremylongshore(0) 0 installs
Free
Sign in to install

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/apollo-rate-limits/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-rate-limits. Copyright stays with the author (MIT).

Apollo Rate Limits

Overview

Implement robust rate limiting and backoff for the Apollo.io API. Apollo uses fixed-window rate limiting with per-endpoint limits. Unlike hourly quotas, Apollo limits are per minute with a burst limit per second. Exceeding them returns HTTP 429.

Prerequisites

  • Valid Apollo API key
  • Node.js 18+

Instructions

Step 1: Understand Apollo's Rate Limit Structure

Apollo's official rate limits (as of 2025):

Endpoint Category           | Limit/min | Burst/sec | Notes
----------------------------+-----------+-----------+-------------------------------
People Search               | 100       | 10        | /mixed_people/api_search (free)
People Enrichment           | 100       | 10        | /people/match (1 credit each)
Bulk People Enrichment      | 10        | 2         | /people/bulk_match (up to 10/call)
Organization Search         | 100       | 10        | /mixed_companies/search
Organization Enrichment     | 100       | 10        | /organizations/enrich
Contacts CRUD               | 100       | 10        | /contacts/*
Sequences                   | 100       | 10        | /emailer_campaigns/*
Deals                       | 100       | 10        | /opportunities/*

Response headers on every successful call:

  • x-rate-limit-limit — max requests per window
  • x-rate-limit-remaining — requests remaining in current window
  • retry-after — seconds to wait (only on 429 responses)

Step 2: Build a Per-Endpoint Rate Limiter

// src/apollo/rate-limiter.ts
export class SlidingWindowLimiter {
  private timestamps: number[] = [];

  constructor(
    private maxRequests: number = 100,
    private windowMs: number = 60_000,
  ) {}

  async acquire(): Promise<void> {
    const now = Date.now();
    // Remove timestamps outside the window
    this.timestamps = this.timestamps.filter((t) => now - t < this.windowMs);

    if (this.timestamps.length >= this.maxRequests) {
      const oldestInWindow = this.timestamps[0];
      const waitMs = this.windowMs - (now - oldestInWindow) + 100;
      console.warn(`[RateLimit] At capacity (${this.maxRequests}/${this.windowMs}ms). Waiting ${waitMs}ms`);
      await new Promise((r) => setTimeout(r, waitMs));
    }

    this.timestamps.push(Date.now());
  }

  get remaining(): number {
    const now = Date.now();
    this.timestamps = this.timestamps.filter((t) => now - t < this.windowMs);
    return this.maxRequests - this.timestamps.length;
  }
}

// Create limiters per endpoint category
export const limiters = {
  search: new SlidingWindowLimiter(100, 60_000),
  enrichment: new SlidingWindowLimiter(100, 60_000),
  bulkEnrichment: new SlidingWindowLimiter(10, 60_000),
  contacts: new SlidingWindowLimiter(100, 60_000),
  sequences: new SlidingWindowLimiter(100, 60_000),
};

Step 3: Exponential Backoff with Retry-After

// src/apollo/backoff.ts
export async function withBackoff<T>(
  fn: () => Promise<T>,
  opts: { maxRetries?: number; baseMs?: number; maxMs?: number } = {},
): Promise<T> {
  const { maxRetries = 5, baseMs = 1000, maxMs = 60_000 } = opts;

  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err: any) {
      const status = err.response?.status;
      if (status !== 429 && status < 500) throw err;
      if (attempt === maxRetries) throw err;

      // Prefer Retry-After header, fall back to exponential backoff
      const retryAfter = err.response?.headers?.['retry-after'];
      const delayMs = retryAfter
        ? parseInt(retryAfter, 10) * 1000
        : Math.min(baseMs * 2 ** attempt + Math.random() * 500, maxMs);

      console.warn(`[Apollo] ${status} attempt ${attempt + 1}/${maxRetries + 1}, retry in ${Math.round(delayMs / 1000)}s`);
      await new Promise((r) => setTimeout(r, delayMs));
    }
  }
  throw new Error('Unreachable');
}

Step 4: Request Queue with Concurrency Control

// src/apollo/queue.ts
import PQueue from 'p-queue';
import { limiters } from './rate-limiter';

type EndpointCategory = keyof typeof limiters;

const queues: Record<EndpointCategory, PQueue> = {
  search: new PQueue({ concurrency: 5, intervalCap: 10, interval: 1000 }),
  enrichment: new PQueue({ concurrency: 5, intervalCap: 10, interval: 1000 }),
  bulkEnrichment: new PQueue({ concurrency: 2, intervalCap: 2, interval: 1000 }),
  contacts: new PQueue({ concurrency: 5, intervalCap: 10, interval: 1000 }),
  sequences: new PQueue({ concurrency: 3, intervalCap: 5, interval: 1000 }),
};

export async function queuedRequest<T>(
  category: EndpointCategory,
  fn: () => Promise<T>,
): Promise<T> {
  await limiters[category].acquire();
  return queues[category].add(() => fn()) as Promise<T>;
}

Step 5: Monitor Rate Limit Usage via Response Headers

// src/apollo/rate-monitor.ts
import { AxiosInstance, AxiosResponse } from 'axios';

export function attachRateMonitor(client: AxiosInstance) {
  client.interceptors.response.use((response: AxiosResponse) => {
    const limit = response.headers['x-rate-limit-limit'];
    const remaining = response.headers['x-rate-limit-remaining'];

    if (limit && remaining) {
      const pct = Math.round(((parseInt(limit) - parseInt(remaining)) / parseInt(limit)) * 100);
      if (pct >= 80) {
        console.warn(`[Apollo] Rate limit ${pct}% used (${remaining}/${limit} remaining) on ${response.config.url}`);
      }
    }
    return response;
  });
}

Output

  • Per-endpoint sliding window rate limiter matching Apollo's actual limits
  • Exponential backoff respecting retry-after headers
  • PQueue-based request queue with per-second burst control
  • Response header monitoring with 80% warning threshold

Error Handling

Scenario Strategy
429 with retry-after Wait the specified seconds, then retry
429 without header Exponential backoff: 1s, 2s, 4s, 8s, up to 60s
Bulk enrichment limited Use dedicated queue with 2/sec burst limit
Near quota (>80%) Log warning, defer non-critical requests

Examples

Bulk Search with Rate Limiting

import { queuedRequest } from './apollo/queue';
import { withBackoff } from './apollo/backoff';

const domains = ['stripe.com', 'notion.so', 'linear.app', /* ... */];

const results = await Promise.all(
  domains.map((domain) =>
    queuedRequest('search', () =>
      withBackoff(() =>
        client.post('/mixed_people/api_search', {
          q_organization_domains_list: [domain],
          per_page: 25,
        }),
      ),
    ),
  ),
);
console.log(`Searched ${results.length} domains within rate limits`);

Resources

Next Steps

Proceed to apollo-security-basics for API security best practices.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-apollo-rate-limits/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-apollo-rate-limits.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-apollo-rate-limits",
  "kind": "skill",
  "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\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "saas",
      "apollo",
      "api",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/apollo-rate-limits/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/apollo-rate-limits/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/apollo-rate-limits/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Grep,",
      "Bash(curl:*)"
    ],
    "license": "MIT"
  },
  "instructions": "# Apollo Rate Limits\n\n## Overview\n\nImplement robust rate limiting and backoff for the Apollo.io API. Apollo uses **fixed-window rate limiting** with per-endpoint limits. Unlike hourly quotas, Apollo limits are **per minute** with a burst limit per second. Exceeding them returns HTTP 429.\n\n## Prerequisites\n\n- Valid Apollo API key\n- Node.js 18+\n\n## Instructions\n\n### Step 1: Understand Apollo's Rate Limit Structure\n\nApollo's official rate limits (as of 2025):\n\n```\nEndpoint Category           | Limit/min | Burst/sec | Notes\n----------------------------+-----------+-----------+---------------------",
  "cost": {
    "context_tokens": 1747
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-apollo-rate-limits/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.