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Finding Hidden Comic Book Deals: A TypeScript Scraping Solution
- Comic book collectors can face challenges in determining the best value for their purchases due to varying page counts in volumes.
- A TypeScript program is developed to calculate the price per page, assisting collectors in making informed buying decisions.
- The project focuses on scraping comic book deals from the Wildberries e-commerce platform, with modular code structure for adaptability to other online retailers.
- A data model is defined using TypeScript interfaces to represent comic book properties and calculate the cost per page.
- Browser lifecycle management is handled using Puppeteer, with functions like withBrowser for browser instance management.
- Page lifecycle management is implemented through functions like makeWithPage, standardizing page configuration for web scraping operations.
- Scraping search results involves handling infinite scroll pagination, extracting product links, and focusing on the most relevant results for further processing.
- Comic book details like title, price, and page count are extracted using Puppeteer's evaluation methods in the scrapeBookPage function.
- The main function orchestrates the scraping process by constructing search URLs, extracting product links, processing them in batches, and sorting comics based on price per page.
- The TypeScript application offers a practical solution for comic book collectors to make data-driven purchasing decisions and maximize the value of their collections.
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