This tutorial walks through practical jsoup usage within Spring Boot 3, covering dependency setup, parsing HTML from strings, fragments, URLs or files, extracting titles, links, images, applying CSS selectors, modifying elements, and sanitizing content to prevent XSS attacks.
This article demonstrates how to use Jsoup to fetch and parse HTML content from a web page, extract specific table data via CSS selectors, map the data to Java objects, and efficiently write the results to an Excel file with EasyExcel, highlighting memory advantages over POI.
DoKit achieves non‑intrusive first‑line JavaScript injection for Android WebView by intercepting HTML requests, parsing with Jsoup to prepend a script tag, and employing ASM bytecode hooks to wrap WebViewClient, ensuring the OMMC feature reliably controls multiple devices on H5 pages.
This tutorial explains how to collect 2022 county‑level GDP and public budget data from the Chinese National Bureau of Statistics using Java's Jsoup library, transform the HTML tables into structured Excel files with EasyExcel, and provides complete source code and step‑by‑step analysis.
This guide walks beginners through building a Java web crawler that fetches bestseller book cover images, covering data scraping, HTML parsing with jsoup or regex, and saving images locally, illustrated step‑by‑step with code examples and a tiered learning roadmap.
This article introduces Jsoup, an open‑source Java library for extracting and manipulating HTML, explains its key features such as DOM traversal and CSS selectors, and provides a concise code example that fetches Wikipedia headlines, helping developers automate web data collection.
This article explains what XSS attacks are, demonstrates simple exploitation scenarios, and provides a comprehensive solution using the mica-xss library with Spring MVC, including dependency setup, request filtering, testing methods, and the underlying Jsoup‑based implementation.
The article shares the author's journey from manual data collection to mastering Java web crawlers, explains why Java is preferred over Python, outlines the five-step crawling workflow, covers essential Java basics, HTTP fundamentals, and provides code examples for URL queuing, time parsing, and timestamp conversion.
This article introduces a modular Java web crawler framework built with Maven, explains its package structure (db, model, util, parse, main), details the data flow from URL fetching to HTML parsing using HttpClient and Jsoup, and provides a complete example that extracts book information from JD.com and stores it in MySQL.
