Real-Time Pricing & Stock Tracking Architecture

Modern Real-Time Pricing and Stock Tracking Architecture

Building an enterprise-grade real-time pricing and stock tracking system requires a robust, scalable technical stack capable of monitoring thousands of target e-commerce storefronts, detecting price variations, and dispatching instant webhook notifications.

Below is an overview of the system architecture powering modern e-commerce intelligence platforms like WooScraper.

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High-Level System Architecture

graph TD
    A[Target Storefronts] --> B[Distributed Scraper Clusters]
    B --> C[Data Parsing & Normalization Engine]
    C --> D[Delta Comparison Engine]
    D --> E{Price / Stock Changed?}
    E -->
Yes
 F[PostgreSQL / SQLite Database]
    E -->
Yes
 G[Webhook & Slack/Email Alerts]
    E -->
No
 H[Log No-Op & Update Heartbeat]

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Core Architectural Components

• Scheduled Polling & Cron Triggers: High-efficiency scheduling workers that trigger targeted catalog crawls at configurable intervals (hourly, daily, weekly).
• DOM & Microdata Parsing Node: Asynchronous headless clusters that extract regular prices, sale prices, stock statuses, and SKU numbers.
• Delta Change Detection Engine: Compares newly extracted snapshots against previous database records to identify price hikes, discount drops, and inventory changes.
• Notification & API Dispatcher: Emits structured JSON webhooks to ERP systems, inventory management software, or Slack notification channels.

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Frequently Asked Questions

How fast can price change alerts be triggered?

With scheduled cloud monitoring, price change alerts can be detected and dispatched within minutes of a competitor updating their storefront.

Can I export price history logs?

Yes. Price tracking logs can be exported as structured CSV, Excel, or JSON datasets for historical trend analysis.

Is stock tracking available on the free plan?

Yes. WooScraper includes stock status extraction on its free tier up to 100 products.