PythonadvancedbackendAI generated

Async Web Crawler

Crawl allowed hosts with bounded concurrency, URL deduplication, and persistent metadata. This Python project practices Python fundamentals, practical problem decomposition, validation, and maintainable implementation.

Estimate
~10h
Steps
5
Completed by
0
Proposed by
codeseed.app

FastAPI · pandas

Project roadmap

  1. 01

    Design the architecture

    ~1.5h

    Define components, data contracts, persistence boundaries, invariants, failure modes, and concurrency needs for Async Web Crawler.

  2. 02

    Implement the critical path

    ~2.5h

    Build the primary Async Web Crawler workflow with explicit invariants, validation, and controlled state transitions.

  3. 03

    Add durability and recovery

    ~2h

    Implement durable state, checkpoints, retries, or recovery behavior appropriate to Async Web Crawler's failure model.

  4. 04

    Control concurrency and limits

    ~2h

    Add ordering, backpressure, rate limits, bounded concurrency, or conflict handling required by Async Web Crawler.

  5. 05

    Add observability and tests

    ~2h

    Add structured diagnostics and test normal operation, failures, restart behavior, and important invariants for Async Web Crawler.

Ready to build this?

Get a GitHub repo and start building. Your AI reviewer checks each step as you go.

~10h · 5 steps

Tech stack

FastAPIpandas