Skyvern is an autonomous web navigation agent and browser-based workflow orchestrator that uses large language models to execute multi-step tasks on websites. By translating natural language instructions into actionable browser commands, the framework enables the automation of complex user workflows, including data extraction and interface interaction, without manual intervention.
skyvern-ai/skyvern 的主要功能包括:LLM-Powered, Autonomous Web Agents, Browser-Based Workflow Automations, Self-Hosted Infrastructure, Browser Automation Orchestrators, Private Infrastructure Management, Anti-Bot Evasion, Workflow Orchestrators。
skyvern-ai/skyvern 的开源替代品包括: apify/crawlee — Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction… vercel-labs/agent-browser — This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions… browserbase/mcp-server-browserbase — This project is an MCP browser automation server that connects large language models to headless cloud browsers. It… browser-use/browser-use — Browser-use is a framework for building autonomous agents that navigate, interact with, and extract data from web… steel-dev/steel-browser — Steel is a cloud browser automation platform that provides a REST API for launching and controlling remote Chrome… getmaxun/maxun — Maxun is an open-source web scraping and automation platform designed to transform dynamic website content into…
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 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
This project is an MCP browser automation server that connects large language models to headless cloud browsers. It functions as an autonomous web workflow engine and an LLM web agent interface, enabling the translation of natural language instructions into browser actions and structured data retrieval. The system distinguishes itself through a managed headless browser cloud API that supports concurrent Chromium sessions with integrated stealth modes, CAPTCHA solving, and proxy traffic routing. It utilizes self-healing element selection to maintain automation resilience when page structures c
Browser-use is a framework for building autonomous agents that navigate, interact with, and extract data from web interfaces using natural language instructions. By acting as an orchestration layer between large language models and browser automation protocols, it enables the execution of complex, multi-step workflows without relying on brittle selectors. The system functions as a headless browser controller, providing a programmatic interface to manage browser instances and execute granular interactions. The project distinguishes itself through its ability to translate high-level intent into