Skyvern

Active
GitHub Python AGPL-3.0

Description

Skyvern is an agent platform for browser task automation, using page understanding and action planning to complete complex web workflows such as forms and back-office tasks.

Key Features

  • Vision LLM driven — Uses vision models to understand and interact with websites, no predefined XPath needed
  • Playwright-compatible SDK — Adds AI capabilities on top of Playwright for Python and TypeScript
  • No-code workflow builder — Visual interface for non-technical users to create automation flows
  • Layout-change resistant — Visual understanding instead of DOM selectors, adapts to website changes
  • Multi-step task execution — Supports complex multi-step web operation workflows
  • Enterprise features — Built-in anti-bot detection, proxy networks, and CAPTCHA solving

Use Cases

💡 Automate form filling and submission workflows
💡 Batch process repetitive back-office operations
💡 Execute unified automation workflows across websites
💡 Data collection and web information extraction

Tags

browser automation web python

Categories

🌐 Browser Agent

Quick Start

pip install "skyvern[all]"
skyvern quickstart

# Or Docker Compose
git clone https://github.com/skyvern-ai/skyvern.git && cd skyvern
cp .env.example .env
docker compose up -d
# Open http://localhost:8080
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Related Articles

browser agentbrowser-usestagehand

Browser Agent Data Extraction and Form Filling: From LLM Vision to DOM Selectors

A systematic engineering guide to Browser Agent across two high-frequency tasks (structured data extraction and automated form filling). Compares three action localization strategies (vision LLM, DOM selector, hybrid coordinate) and trade-offs across four frameworks: Browser-Use, Stagehand, Playwright MCP, and Skyvern.

Read more →