Can it handle websites that require login?

Yes, the skill can handle authentication by either automating the login flow or loading existing session cookies.

Does this require a paid API key?

While you can use paid keys for Claude or GPT-4, you can also run it entirely for free using local models like Llama 3 via Ollama.

How does Browser Use compare to Stagehand?

Browser Use is a Python-based framework specifically optimized for scraping and data extraction with wide LLM support, whereas Stagehand is built for TypeScript/Playwright testing environments.

Can I run this skill with local models?

Yes, Browser Use supports local models via Ollama, allowing for completely private and cost-free browser automation without an internet connection for the LLM.

Browser Use AI Automation

Name: Browser Use AI Automation
Author: adaptationio

byadaptationio

Browser Automation

Automates complex web browser tasks and data extraction using AI agents powered by Claude, GPT, or local models.

About

This skill integrates the open-source Browser Use framework into your development workflow, enabling the creation of autonomous agents that can navigate websites, interact with elements, and extract structured data. It provides a robust solution for developers needing self-hosted automation that avoids the rate limits and costs associated with cloud-only platforms. By supporting a wide range of LLMs—from high-performance Claude models to local Ollama instances—it offers unparalleled flexibility for web scraping, form automation, and competitive research tasks.

Key Features

Structured data extraction using Pydantic schemas
0 GitHub stars
Multi-LLM compatibility including Claude, GPT-4, and Ollama
Support for multi-step navigation and complex form interactions
Self-hosted architecture for unlimited, private usage
Headless and non-headless browser modes for debugging

Use Cases

Building resilient web scraping pipelines that adapt to UI changes
Automating repetitive data entry and form submission tasks
Monitoring competitor pricing and inventory across multiple e-commerce sites

About

Key Features

Structured data extraction using Pydantic schemas
0 GitHub stars
Multi-LLM compatibility including Claude, GPT-4, and Ollama
Support for multi-step navigation and complex form interactions
Self-hosted architecture for unlimited, private usage
Headless and non-headless browser modes for debugging

Use Cases

Building resilient web scraping pipelines that adapt to UI changes
Automating repetitive data entry and form submission tasks
Monitoring competitor pricing and inventory across multiple e-commerce sites