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How I build web scrapers a business can actually rely on
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How I build web scrapers a business can actually rely on

DEV Community: datascience·Mojtaba Karimi·about 12 hours ago
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The problem. A business wants to track prices across many online stores — competitors, suppliers, its own catalog. Checking by hand is slow and drifts out of date, and a naive scraper makes it worse: it gets blocked, it breaks the moment a page changes, and it hands back half-parsed HTML nobody can trust. The real question is never "can you scrape it." It is "can I rely on this data tomorrow, and next month."

What I built. A price-intelligence platform that scrapes products across stores, keeps a full price history, detects every change, and shows it on a dashboard and over an API. You can open it right now: https://price-intelligence-demo.onrender.com (free instance, the first request takes about 40 seconds to wake). The code is public, with the test suite and CI badges next to it.

The decisions that make it reliable — the part most scrapers skip:

Polite by default.…

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