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A cluster of PHP-centric projects highlights how web automation is shifting from ad‑hoc scraping toward more standardized, AI-friendly tooling. ShopLurker, a PHP side project that scrapes skateboard shop catalogs into a niche search engine, underscores both the enduring appeal of lightweight scrapers and the operational fragility they face under sudden traffic. In parallel, Laravel is being positioned as a practical way to host Model Context Protocol (MCP) servers, with tutorials showing end-to-end workflows like automated publishing. Efforts to define MCP tools via a YAML specification point to emerging conventions for declaring tool metadata and I/O, while no-code scrapers broaden access to data extraction beyond developers.
Show HN: Laravel 的 API 版本管理——单一代码库，永久支持旧版本
手把手教你让 Claude Code 更好的爬取内容： 抓取任意网站数据 学完这篇教程，你可以让 Claude Code 直接搜索网页、抓取数据，甚至自己造一个爬虫部署到云端，全程不写一行代码。https://t.co/8yADwxaoe6 https://t.co/jvbVVBxrIl [翻译] 手把手教你让 Claude Code 更好的爬取内容：抓取任意网站数据。学完这篇教程，你可以让 Claude Code 直接搜索网页、抓取数据，甚至自己造一个爬虫部署到云端，全程不写一行代码。
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration. Language: Jupyter Notebook Stars: 93 Forks: 13 Contributors:
A new Laravel package has been launched that enhances document processing capabilities by converting images and PDFs into structured data. This powerful OCR (Optical Character Recognition) and document parsing engine utilizes AI to read text, understand content, and correct scanning errors, providing developers with clean, actionable data for their applications. This tool is particularly significant for developers looking to integrate advanced data extraction features into their Laravel projects, streamlining workflows and improving data accuracy.
A new item titled “Japanese Woodblock Print Search” indicates a tool, feature, or project focused on searching Japanese woodblock prints, but no article body or additional details are available. Based on the title alone, the news appears to concern improving discovery or access to ukiyo-e and related print collections, potentially for museums, archives, researchers, or the public. Without further information, it is not possible to confirm who launched it, what data sources it covers, what search methods are used, or whether it involves image recognition, metadata indexing, or a specific platform. No dates, organizations, or performance metrics are provided in the available text.
The emergence of no-code web scraping tools is transforming how users extract data from websites without needing programming skills. These tools enable businesses and individuals to gather valuable information efficiently, which can be crucial for market research, competitive analysis, and data-driven decision-making. As the demand for data continues to grow, no-code solutions are making web scraping more accessible, fostering innovation and enabling startups to leverage data without extensive technical resources. This trend highlights the increasing importance of user-friendly software in the tech landscape.
ShopLurker, a side project built in PHP by its creator and a partner, has been submitted to Hacker News as a “Show HN.” The site scrapes product listings from skateboard shops and lets users search across those catalogs in one place. The author says the tool was released a few years ago and is being resurfaced now to see if the HN community finds it useful. They also warn that a sudden spike in traffic could overwhelm the service, effectively turning the post into an informal stress test of the site’s infrastructure. The project highlights ongoing interest in lightweight, custom-built web scrapers and niche search engines, while also underscoring the operational risks of scraping-based services when exposed to large audiences.
A new tutorial titled “Build an MCP server with Laravel (and use it to publish this post)” explains how to implement an MCP (Model Context Protocol) server using the Laravel PHP framework and then use that server in a real workflow to publish content. The piece positions Laravel as a practical backend for exposing MCP-compatible tools and resources to AI clients, bridging web app infrastructure with agentic automation. While the article body isn’t available, the headline suggests a hands-on, end-to-end example: building the server, wiring it to a publishing pipeline, and demonstrating a concrete outcome (posting the article itself). The topic matters as MCP adoption grows, giving developers a path to integrate AI tool access into existing Laravel stacks without switching ecosystems.