Project Snapshot

High-volume data collectors often get blocked when Tor exit nodes appear on ban lists. This toolkit automates circuit hopping, preserving throughput without compromising anonymity.

Business Context

  • Ideal for research and compliance teams that rely on Tor to gather insights from restricted networks.
  • Prevents stalled scraping jobs by detecting unresponsive or blacklisted circuits and rotating before requests fail.

Core Capabilities

  • Multi-circuit orchestration that spins up concurrent Tor connections for parallel requests.
  • Circuit health monitoring to flag banned endpoints and trigger renewals instantly.
  • Lightweight thumbnail generator guideline for showcasing Tor utilization in dashboards or portfolios.
  • Designed as a personal library foundation that can be embedded into larger scraping pipelines.

Implementation Notes

  • Python-based helper utilities with clear extension points for queue managers or custom proxies.
  • Emphasizes clean separation between Tor control signals and business logic to simplify auditing.
  • MIT-licensed, enabling teams to extend safeguards or integrate alternative anonymity networks.

My Role

I distilled recurring automation needs into reusable primitives, focusing on resilient networking patterns and developer-friendly abstractions.

Tech Stack

Python · Stem (Tor) · Tor Control Port

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