Stan Kapts
Python developer building web scrapers and automation tools
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Most scraping projects don't fail because of anti-bot walls. They fail because of bad error handling.
Built this as a portfolio demo, same logic scales to any catalog or listing site.
Retries failed requests with exponential backoff instead of giving up after one bad response. Random 0.5-1.5s delay between pages instead of hammering the server on a fixed timer. Follows pagination automatically until the last page. Exports straight to formatted Excel: headers, filters, frozen row, ready to hand off.
Full pipeline and the actual retry/parse code in the images.
What's the ugliest edge case that's broken a scraper on you? Timeouts, layout changes, or CAPTCHAs?
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E-commerce Price Monitoring Scraper
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LinkedIn Outreach Automation with Account-Safety Logic
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