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The client required a web scraper that could extract text content from all pages of a given domain efficiently. The key challenge was handling large websites, ensuring fast performance, and avoiding excessive load time.
We developed a web-based scraping tool using Next.js and Cheerio. It efficiently crawls and extracts content from all pages within a domain and provides an option to download the extracted text. Optimization techniques were applied to improve speed for large websites.
We built a scalable web scraper that efficiently fetches text content from multiple pages within a domain, providing seamless data extraction.
By leveraging Next.js and Cheerio, we delivered a high-performance web scraper that automates content extraction from large websites, streamlining data collection for the client.