Web dev projects
Automated Deal Aggregation & Affiliate Distribution System
Designed and implemented an automated, event-driven deal aggregation system that ingests product deals from multiple sources, processes affiliate attribution, and publishes optimized deal content across multiple platforms with zero manual intervention. The system combines Python-based microservices, n8n orchestration, web scraping, affiliate API integrations, and programmatic image generation to maintain high-volume, real-time deal distribution at scale.
Overview
This system was built to address inefficiencies in traditional deal aggregation and affiliate publishing workflows, where deals are manually sourced, updated, formatted, and distributed across platforms. These processes are slow, error-prone, and difficult to scale. The Automated Deal Aggregation & Affiliate Distribution System centralizes and automates the entire lifecycle of a deal—from ingestion to publishing—using an event-driven architecture.
Problem Statement
Deal-based platforms and affiliate publishers face several operational challenges:
Manual deal discovery and updates lead to stale or expired offers.
Affiliate link management is error-prone and difficult to maintain at scale.
Publishing deals across multiple platforms requires repetitive formatting and content generation.
Scaling deal volume increases operational complexity and maintenance costs.
These issues limit freshness, reach, and monetization potential.
Solution Architecture
The system is composed of Python-based microservices responsible for scraping, API ingestion, deal normalization, and affiliate attribution. Deals are sourced through a combination of custom web scrapers and affiliate APIs, ensuring comprehensive coverage and redundancy.
n8n acts as the orchestration layer, coordinating ingestion events, enrichment workflows, validation checks, and publishing triggers. This event-driven approach allows new or updated deals to propagate through the system instantly without manual intervention.
Automated Enrichment & Publishing
Once ingested, product data is enriched with pricing, availability, and metadata, while affiliate tracking parameters are automatically applied through API calls or URL transformations. Programmatic image generation workflows create platform-optimized visuals for each deal, ensuring consistent branding and presentation.
The final deal payloads are then published automatically across multiple channels such as Telegram, websites, and messaging platforms, maintaining near real-time synchronization across all outputs.
Scalability & Reliability
The microservices-based design allows the system to scale horizontally as deal volume increases. The platform reliably processes and manages over 10,000 product records while maintaining low latency and high data consistency. Built-in validation and retry mechanisms ensure resilience against source failures or data inconsistencies.
Impact & Outcomes
By fully automating deal aggregation and distribution, the system reduces manual effort by over 90% and improves deal freshness from hours to under a minute. This results in higher user trust, increased engagement, and improved affiliate performance. The project showcases how event-driven automation and microservices can be combined to build scalable, real-world commerce infrastructure.
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