Projects sharing features with Splash

Pyppeteer is a Python library for controlling Chromium-based browsers using the Chrome DevTools Protocol. It functions as a headless browser automation tool, allowing for the programmatic navigation of web pages and the extraction of data from dynamic websites. The project provides low-level browser control through direct communication with the Chrome DevTools Protocol, enabling the interception and modification of network traffic. It differentiates itself by offering specialized performance profiling capabilities, including the measurement of JavaScript and CSS code coverage and the capture

php-webdriver is a WebDriver PHP client and browser automation framework that implements the W3C WebDriver standard. It serves as a programmatic interface for controlling web browsers, executing JavaScript, and managing browser sessions in both headed and headless environments. The library functions as a Selenium protocol implementation, allowing PHP applications to communicate with browser drivers such as ChromeDriver or GeckoDriver. It provides the ability to automate user actions, navigate pages, and validate DOM elements for web UI testing. Its capabilities cover broad areas of browser i

This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions as a controller that translates natural language instructions into deterministic browser actions, allowing agents to interact with websites, perform data extraction, and manage complex authentication flows. By leveraging accessibility trees and semantic element resolution, the framework mimics human-like navigation, moving beyond brittle DOM selectors to interact reliably with modern web interfaces. The framework distinguishes itself through its focus on secure, scalable exec

Cypress is a browser-based testing framework designed for writing and running automated tests directly inside the browser. It serves as an end-to-end testing framework, a frontend component testing tool, and a web application test runner. The project also functions as a headless browser automation tool and a network traffic interceptor. The system differentiates itself by executing test code within the same browser process as the application, allowing for direct access to the DOM. It includes a network traffic interception system to stub and manipulate browser requests, as well as a graphical

CasperJS is a scripting utility and testing framework for automating web scenarios via headless browsers. It enables the execution of navigation steps and form inputs to automate complex user scenarios, extract web data, and validate the state of remote pages. The project provides specific tooling for PhantomJS and SlimerJS, allowing users to write programmable sequences for web navigation and data extraction. It includes capabilities for capturing visual snapshots of full pages or specific elements to perform user interface regression testing. The framework covers broad automation areas inc

This project is a collection of Python scripts and tools designed for web scraping, browser automation, and large-scale data extraction. It provides a set of implementations for retrieving information from websites and private APIs, including tools for multimedia downloading and social media data archiving. The toolset includes specialized mechanisms for bypassing anti-scraping measures through IP proxy pool rotation and multi-threaded crawlers. It also features capabilities for simulating browser sessions to handle authentication, intercepting session cookies, and decrypting network payloads

Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

This project is a ticket purchase automation tool and browser automation bot designed to secure high-demand event tickets. It functions as a web scraping purchase script that monitors availability and executes checkout transactions programmatically. The tool utilizes a hybrid execution model that combines headless browser automation for authentication and session management with direct HTTP requests to ticketing server APIs. This approach is used to bypass user interface latency and handle high-speed request processing during flash sales. The system includes capabilities for automated availa

This project is a distributed headless Chrome web crawler and data extraction framework. It functions as a JavaScript rendering engine that uses a headless browser to process dynamic pages, extracting structured data from websites that require JavaScript execution. The system is designed for scalable data collection across multiple nodes, using distributed task synchronization and shared caches to prevent duplicate work. It distinguishes itself through the ability to emulate specific client environments by configuring user agents and viewport dimensions, while capturing visual evidence such a

chromedp is a browser automation framework and driver that controls web browsers via the Chrome DevTools Protocol. It functions as a headless browser automation tool and web browser controller, enabling the programmatic management of browser sessions, targets, and network responses through a remote debugging interface. The project provides specialized capabilities for Chrome DevTools Protocol automation, including headless browser testing, web scraping and data extraction, and mobile device emulation. It also supports browser-based visual regression by capturing precise screenshots of web pag

Obscura is a web scraping infrastructure and headless browser server designed for AI agents. It provides a system for AI models to control browser sessions, interact with websites, and extract web data using a WebSocket implementation of the Chrome DevTools Protocol. The project focuses on bot detection evasion by randomizing browser fingerprints, masking native functions, and blocking tracking scripts to mimic human behavior. It further secures identities through a traffic layer that routes network requests via HTTP or SOCKS5 proxies. The system supports large-scale data extraction through

Sol2 is a C++ Lua binding library that serves as a language interoperability layer for integrating Lua scripts into C++ applications. It acts as a scripting wrapper and API toolkit, enabling the execution of Lua code and the management of shared state within a native C++ environment. The library focuses on automated function and type mapping to bridge native C++ classes and complex data types with the Lua scripting engine. It provides mechanisms for bidirectional data exchange, allowing compiled logic and variables to be synchronized between the host application and the script runtime. The s

Firecrawl is a headless browser automation tool and web crawling engine designed to extract structured data from the web. It functions as an API that transforms raw website content and documents into clean markdown and JSON formats to serve as context for large language models. The project distinguishes itself by using natural language prompts to translate human instructions into targeted data extraction tasks and browser actions. It can execute interactive page navigation, such as clicking and scrolling, and perform automated web research to retrieve structured data without manual interventi

Feapder is a Python web crawling framework designed for building scalable data extraction systems. It features a distributed spider engine and a headless browser renderer to execute JavaScript and extract content from dynamic web pages. The system includes a scalable data deduplicator to filter duplicate URLs and records during large-scale operations. A crawler monitoring system tracks the health of active scraping jobs and triggers alerts when system anomalies occur. The framework provides capabilities for task scheduling, web data extraction, and resilient workflows that allow crawling tas

Webmagic is a Java web crawling framework designed for building scalable automated crawlers to download and process large volumes of web pages. It functions as a distributed web crawler and dynamic content crawler, utilizing an XPath HTML parser to locate and extract specific data points from page structures. The framework distinguishes itself through its ability to handle dynamic content by rendering JavaScript and executing asynchronous requests to extract data from non-static pages. It also allows users to define and execute crawler logic via scripting languages, enabling the update of col

DotnetSpider is a .NET web crawling framework and C# data extraction tool designed for automated web page discovery and the retrieval of structured data from the internet at scale. It functions as a high-level web scraping library for collecting information from various websites. The framework provides capabilities for automated web crawling and large-scale data scraping. It enables web content extraction to facilitate the creation of local databases or the analysis of online information through programmatic web automation within the .NET ecosystem. The system utilizes a pipeline-based data

PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for periodically fetching web content, processing HTML, and persisting scraped information into database backends. The system features a web-based management interface for editing scraping scripts, monitoring task progress, and reviewing collected data. It includes a headless browser JavaScript renderer to capture rendered HTML from dynamic web pages and a distributed architecture that uses message queues to scale crawling workloads across multiple nodes. The framework also covers task

requests-html is a Python HTML parsing library and web scraping framework. It functions as an asynchronous HTTP client and a JavaScript rendering engine designed to fetch and parse web pages for structured data extraction. The project integrates a headless browser to execute JavaScript, allowing it to retrieve dynamically generated content that standard HTML parsers cannot see. It provides tools for automated data extraction using CSS selectors and XPath expressions to isolate specific text or attributes from HTML structures. The framework covers network operations including asynchronous pag

This project is a Model Context Protocol server that enables Large Language Models to control Playwright browsers for web automation, scraping, and end-to-end testing. It functions as a programmable interface for executing JavaScript, capturing screenshots, and interacting with web elements across multiple browser engines. The server exposes browser automation capabilities as a set of standardized tools that models can discover and invoke. It supports session-based browser isolation to ensure unique contexts for each client connection and provides a transport layer using either standard input

CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network

Huxley is a visual regression testing tool and browser automation framework designed to detect pixel-level interface changes. It functions as an automated browser screenshotter that records user interactions and replays them to verify that web interfaces remain visually consistent across updates. The system generates visual diffs by comparing current screenshots against stored baseline images to highlight specific pixels that have changed. It includes mechanisms to manage these baselines, allowing users to update reference screenshots when interface changes are intentional. The framework cov

cmux is a GPU-accelerated terminal emulator and workspace manager designed for coordinating multiple concurrent AI coding agents. It functions as an orchestration terminal that uses scriptable workspaces and split panes to manage parallel AI agent workflows, while also serving as a headless browser automation tool and a remote development relay. The project differentiates itself through a programmatic control plane using a Unix domain socket and CLI, allowing for the automated management of terminal layouts and input delivery. It features an integrated web engine for programmatic DOM manipula

miniblink49 is a stripped-down Blink browser kernel and embedded web UI framework used to integrate HTML user interfaces into native C++ applications. It functions as a C++ JavaScript interop bridge that maps high-level script calls to low-level native logic and provides a resource-optimized headless browser engine for processing web content without a graphical interface. The project enables custom browser environment control by bypassing cross-origin security policies to allow requests across different domains. It further allows for the interception of network resources to replace remote ass

Spider is a web-based platform designed for automated data extraction, providing a centralized framework to collect, process, and route structured information from websites. It functions as a comprehensive pipeline that manages the entire lifecycle of data gathering, from initial configuration to final storage in external databases or message queues. The platform distinguishes itself through a visual configuration interface that allows users to define extraction rules and manage scraping templates without writing custom code. It supports both static and dynamic content retrieval by integratin

This project is a Python-based automation toolkit designed to manage programmatic authentication and session persistence across web services. It provides a framework for executing automated login sequences, including the handling of interactive security challenges such as QR code verification and captcha resolution. The toolkit distinguishes itself by simulating native mobile application environments, allowing for the execution of scripts that require specific device-level headers and behaviors. It also incorporates hook-based interception to monitor workflow states and manage exceptions duri

This project is a high-performance headless browser engine designed for scalable web automation, data extraction, and AI agent integration. It provides a specialized environment that allows autonomous agents and testing frameworks to interact with web content through standardized remote control protocols. By executing pages in a lightweight, headless state, the engine minimizes resource consumption while maintaining the ability to perform complex navigation and dynamic content rendering. The platform distinguishes itself through deep integration with AI-centric communication layers and advanc