Automated Competitive Price Monitoring with n8n
Create an n8n workflow that scrapes competitor prices daily, compares them to your prices, and alerts when competitors undercut by more than a threshold.
Build an automated competitive intelligence system that tracks pricing changes and triggers alerts for strategic responses.
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Prompt objective
Build an automated competitive intelligence system that tracks pricing changes and triggers alerts for strategic responses.
Real use case
An e-commerce retailer with 500 products loses sales to competitors who change prices daily. Manual price checking is impossible at this scale.
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Prompt
Act as a competitive intelligence engineer. Design an n8n workflow for [COMPANY NAME] that monitors competitor pricing across [NUMBER] products and [NUMBER] competitors.\n\n**Context:**\n- Products to track: [NUMBER] SKUs with [URL PATTERN]\n- Competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]\n- Check frequency: daily at [TIME]\n- Price alert threshold: [PERCENTAGE]% below our price\n- Our price source: [SHOPIFY/WOOCOMMERCE/DATABASE]\n\n**Deliverables (numbered):**\n1. Data collection: HTTP request to competitor product pages, HTML parsing with CSS selectors or XPath to extract price, availability, and promotional badges\n2. Price normalization: handle currency conversion, shipping cost inclusion, bundle pricing, and promotional discounts\n3. Comparison engine: join competitor prices with our prices by SKU, calculate price difference (%), flag when competitor is cheaper by > [THRESHOLD]%\n4. Alert generation: daily digest email with products where we're overpriced, ranked by revenue impact (price difference x estimated monthly volume)\n5. Historical tracking: store daily prices in [DATABASE/SHEET] for trend analysis, calculate competitor price change frequency and patterns\n6. Response recommendations: AI-generated suggestions (match price, highlight value proposition, bundle offer, ignore) based on margin data\n7. Weekly report: price positioning matrix, competitor price change summary, recommended actions with estimated margin impact\n\n**Constraints:**\n- Must respect robots.txt and rate limits for competitor sites\n- Must handle anti-bot measures (user agent rotation, delays)\n- Must flag products no longer available on competitor sites
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