Obscura, an open‑source Rust headless browser designed for AI agents and large‑scale crawling, cuts memory usage by 85%, reduces binary size, speeds page loads to 85 ms, starts instantly, includes strong anti‑detection features, and works with the Chrome DevTools Protocol as a drop‑in replacement for Headless Chrome.
Lightpanda, an open‑source headless browser written in Zig, claims up to eleven times faster execution and one‑ninth the memory of Chrome, offering a lightweight architecture for large‑scale web scraping, AI agent testing, and automation with detailed benchmarks, feature lists, usage commands, and known limitations.
ChromePHP is a PHP library that integrates the Chrome DevTools protocol, allowing developers to control Chrome or Chromium directly from PHP code for tasks such as navigation, JavaScript execution, screenshots, PDF generation, and input simulation, with simple Composer installation and flexible configuration.
This article explains what headless browsers are, outlines their advantages and limitations, introduces Puppeteer as a Node.js library for controlling headless Chrome, and provides step‑by‑step code examples for taking screenshots, generating PDFs, and performing automated web interactions.
This article introduces the Webeye low‑code platform, explains the fundamentals of system monitoring—including logging, metrics, and tracing—describes layered monitoring across hardware to UI, details Webeye’s actions and validators, presents a real‑world use case, and discusses extensibility, selector flexibility, and impact mitigation.
This article describes a real‑time monitoring solution for large numbers of H5 pages that combines Python's Requests library for data crawling with a headless Chrome browser driven by Puppeteer to detect resource errors, API failures, and DOM anomalies, automatically alerting stakeholders.
This article explores headless browser automation technologies including Selenium, PhantomJS, Puppeteer, and Headless Chrome, comparing their architectures, use cases, and implementation differences.
The Jingdong Woodpecker system is an automated monitoring solution that scans tens of thousands of e-commerce activities daily across multiple platforms, detecting functional and performance issues to ensure optimal user experience and prevent revenue loss.
This guide demonstrates how to combine Python's regex, BeautifulSoup, and Selenium (including Chrome and headless PhantomJS) for powerful web scraping, covering tag matching, handling Ajax, iFrames, cookie management, and practical code examples for extracting and interacting with dynamic web content.
This article explores why web content needs protection, explains common server‑side and client‑side anti‑crawling methods—including User‑Agent checks, token cookies, headless‑browser detection, fingerprinting, captchas, and robots.txt—and offers practical guidance for raising the cost of unauthorized scraping.
This guide introduces PhantomJS—a WebKit‑based headless JavaScript engine—covers its key capabilities such as page screenshots, web crawling, and automation, explains a common macOS installation issue with a “Killed: 9” error, and provides step‑by‑step commands to unpack and run the binary, plus a sample script for capturing website screenshots.
