Distributed Web Collection
Parallel web reachability and data collection using multiple egress IPs via proxy services.
What it solves
Collects web data at scale across multiple regions/egress points, with controlled concurrency and repeatable outputs.
Approach
A job-based orchestration engine: queueing, rate limiting, retries, session handling, and structured exports with metrics.
Key points
- Parallelization across proxy pools for geo/IP diversity
- Backoff/retry policies and per-source rate limiting
- Session management and consistent parsing pipelines
- Metrics for throughput, latency, and error taxonomy
Tech: Python, queues/workers, proxy providers, structured exports, metrics.
