Distributed web scraping pipeline using Celery task queues, RabbitMQ message broker, and multi-stage worker pools for parsing and publishing. HTTP requests from scheduled cron jobs flow through Content Extractor, Data Validator, Deduplication, Content Formatter, and Media Downloader before Task Producer enqueues work to RabbitMQ. Parse Workers and Publish Workers consume from separate Celery queues, persisting to PostgreSQL and Redis, then route validated content to Telegram Bot API for multi-channel distribution. Flower monitoring and centralized logging track task execution, failures route to Dead Letter Queue, and Redis caches state across worker instances. This architecture demonstrates horizontal scaling, task isolation, and graceful error handling for high-throughput content pipelines.