asyncio Pitfalls: 3 Hours Debugging a Concurrent Crawler

📰 Dev.to · BAOFUFAN

Learn to avoid common asyncio pitfalls when building concurrent crawlers to efficiently pull data from multiple APIs

intermediate Published 1 May 2026
Action Steps
  1. Identify potential concurrency issues in your asyncio code
  2. Use asyncio.gather to run multiple tasks concurrently
  3. Implement error handling for individual tasks to prevent crashes
  4. Apply rate limiting to avoid overwhelming third-party APIs
  5. Test your concurrent crawler with a small set of APIs before scaling up
Who Needs to Know This

Backend developers and engineers working with concurrent programming and API integrations can benefit from understanding these pitfalls to improve their code's performance and reliability

Key Insight

💡 Proper error handling and rate limiting are crucial when using asyncio for concurrent API requests

Share This
🕷️ Avoid asyncio pitfalls when building concurrent crawlers! 🚀

Full Article

Last week my boss threw me a task: pull data from 50 third‑party APIs and build an aggregated report....
Read full article → ← Back to Reads