ESErika S. Adkinsindevnoteshub.hashnode.dev·Apr 8 · 6 min readFrom Generated Code to Production Pipeline: Hardening a Beautylish ScraperGenerating a web scraper using AI or boilerplate repositories is a great way to prototype. In minutes, you can have a Python script using Playwright that navigates Beautylish.com and extracts product 00
ESErika S. Adkinsindevnoteshub.hashnode.dev·Mar 21 · 6 min readPrompt-to-Schema: Ensuring Type-Safe JSON Extraction from Unstructured HTMLExtracting data from the web has traditionally been a game of "cat and mouse." We write complex CSS selectors or XPath expressions, only for the website to change its layout a week later and break the00
ESErika S. Adkinsindevnoteshub.hashnode.dev·Mar 6 · 5 min readHandling E-Commerce A/B Testing: Resilient Selector Strategies for Zappos with PlaywrightWeb scraping for e-commerce is a constant game of cat and mouse. You build a scraper for a site like Zappos, only to have it break two days later because a developer renamed a CSS class or launched an00
ESErika S. Adkinsindevnoteshub.hashnode.dev·Feb 27 · 6 min readHardening Your Costco Scraper: Detecting Soft Bans and Enforcing Data Quality with Pydantic When scraping high-value e-commerce targets like Costco, an HTTP 200 OK status code is often a lie. While many developers rely on status codes to trigger retries, Costco frequently employs soft bans. 01O
ESErika S. Adkinsindevnoteshub.hashnode.dev·Feb 26 · 12 min readEnforcing Data Quality in Web Scrapers: Pydantic and the Dead Letter QueueBuilding a web scraper is often the easy part. The real challenge starts on day two, when the website changes its layout, a field that was always a number suddenly contains "Price on Request," or an u00
