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", "apollo throttling", "apollo backoff", "apollo request limits".
Install
mkdir -p .claude/skills/apollo-rate-limits && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5372" && unzip -o skill.zip -d .claude/skills/apollo-rate-limits && rm skill.zipInstalls to .claude/skills/apollo-rate-limits
About this skill
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 windowx-rate-limit-remaining— requests remaining in current windowretry-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-afterheaders 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.
More by jeremylongshore
View all skills by jeremylongshore →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversUnlock seamless Figma to code: streamline Figma to HTML with Framelink MCP Server for fast, accurate design-to-code work
Access official Microsoft Docs instantly for up-to-date info. Integrates with ms word and ms word online for seamless wo
Integrate Feishu (Lark) for seamless document retrieval, messaging, and collaboration via TypeScript CLI or HTTP server
Reddit Buddy offers powerful Reddit API tools for browsing, searching, and data annotation with secure access, rate limi
Reddit Buddy offers clean access to Reddit API, advanced reddit tools, and seamless data annotation reddit with smart ca
Explore Magic UI, a React UI library offering structured component access, code suggestions, and installation guides for
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.