How do I prevent rate limiting in async web scrapers?

The skill includes implementation patterns for using asyncio.Semaphore to limit concurrent requests and manage throughput to avoid being blocked by servers.

When should I use async over threading in Python?

Asyncio is preferred for I/O-bound tasks where the program spends most time waiting for network or disk responses, while threading is typically better for parallelizing CPU-bound tasks.

Does this skill help with FastAPI performance?

Yes, it provides the fundamental async patterns and concurrency controls, like semaphores and task management, required to build highly efficient FastAPI endpoints.

Does this cover async database connections?

Yes, the skill provides patterns for using async context managers to manage database connections and execute concurrent queries without blocking the event loop.

Async Python Patterns

Name: Async Python Patterns
Author: ovachiever

byovachiever

•

API開発

Implements high-performance Python applications using asyncio, concurrent programming patterns, and non-blocking I/O architectures.

This skill provides a comprehensive toolkit for mastering Python's asynchronous ecosystem, enabling developers to build highly scalable, non-blocking applications. It offers expert guidance on core asyncio concepts such as the event loop, coroutines, and tasks, alongside advanced implementation patterns like producer-consumer queues, rate limiting with semaphores, and concurrent database operations. Whether you are building real-time WebSocket servers, high-throughput APIs with FastAPI, or efficient web scrapers, this skill ensures best practices for resource management and performance optimization.

主な機能

01Robust error handling and timeout management for async operations

02Implementation of async context managers and iterators

03Resource synchronization using async locks and semaphores

04Advanced concurrency patterns including gather, tasks, and futures

055 GitHub stars

06Practical templates for aiohttp scraping and async database access

ユースケース

01Optimizing I/O-bound microservices and database communication layers

02Building high-throughput web APIs with FastAPI, Sanic, or aiohttp

03Developing efficient web scrapers that handle thousands of concurrent requests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ovachiever/droid-tings async-python-patterns

For use in Claude.ai and ChatGPT

Download Skill