Developer Automates 48 Hours of Monthly Price Checks With a Python Script

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A developer in e-commerce discovered he was spending nearly 48 hours each month manually copying supplier prices into spreadsheets, tracking 25 products across 15 suppliers. Realizing the process was both time-consuming and unreliable, he decided to automate it using Python. He built a script combining requests, BeautifulSoup, Selenium, and pandas to handle everything from simple HTML pages to JavaScript-heavy and login-protected supplier sites. The tool automatically fetches current prices, stores them, and compares them against historical data to flag changes. Beyond saving time, the project addressed a deeper issue: he could never fully trust manually collected price data, which risked flawed inventory and margin decisions.

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