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Developer ships watch arbitrage tracker, details 5 production bugs

By PulseAugur Editorial · [1 sources] ·

The author developed a watch arbitrage tracker using Apify and Crawlee, designed to monitor luxury watch marketplaces for underpriced listings. This tool calculates a true cross-platform median price, a feature lacking in existing solutions, and alerts dealers via Telegram when significant price discrepancies are found. The project also includes an MCP server for AI agents to query live data, though the author encountered and fixed five critical production bugs shortly after launch, highlighting the challenges of web scraping. AI

IMPACT This tool could streamline price discovery for watch dealers, potentially impacting market efficiency and providing a data source for AI agents.

RANK_REASON The article describes the development and deployment of a specific software tool for a niche market, including technical details and bug fixes.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer ships watch arbitrage tracker, details 5 production bugs

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The article describes the development and deployment of a specific software tool for a niche market, including technical details and bug fixes.
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147 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · KazKN ·

    How I shipped a cross-platform watch arbitrage tracker on Apify in 2 weeks (and the 5 production bugs that almost killed the launch)

    <blockquote> <p><strong>TL;DR</strong> — I built <strong>Watch Arbitrage Tracker</strong> (<a href="https://apify.com/kazkn/watch-arbitrage-mcp" rel="noopener noreferrer">Apify Store</a>, <a href="https://github.com/DataKazKN/watch-arbitrage-mcp" rel="noopener noreferrer">GitHub<…

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