browser-use

Automate multi-step web tasks via the Browser Use API with step history.

16|12|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/AlekseiUL/heisenberg-team --skill browser-use-alekseiul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser-use
Source: https://github.com/AlekseiUL/heisenberg-team/tree/main/skills/browser-use-api
Command: npx skills add https://github.com/AlekseiUL/heisenberg-team --skill browser-use-alekseiul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It eliminates the difficulty of performing multi-step web automation—like navigating dynamic sites, completing forms, and gathering results—by replacing manual browser work with reliable cloud-driven task execution.

Core Features & Use Cases

  • Cloud AI browsing & task execution: Handles multi-step web workflows described in plain English and returns the final structured output.
  • Scraping with screenshots and step trace: Produces action steps (including screenshots) so you can verify what the browser did.
  • Form filling and submission workflows: Automates interactions when sites block simple scraping or require realistic user flow.
  • Use Case: You need to open a site, filter items, and extract the top results with context; browser automation runs the workflow end-to-end and returns what you asked for.

Quick Start

Submit a task request by sending your plain-English web instruction to the Browser Use API and then poll the task endpoint until it returns finished output.

Frequently Asked Questions about browser-use

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate form filling and scraping on dynamic websites?

Automating form filling and scraping on dynamic websites involves submitting plain-English task instructions to a cloud API, which executes multi-step actions and returns structured results. You create a task via POST and poll until completion.

What is the best way to scrape interactive websites that block simple data extraction?

Scraping interactive websites that block simple extraction requires cloud-driven AI browsing. This approach automates realistic user flows, returns final structured output, and provides an auditable step history with screenshots for reliable verification.

How does AI-driven web task orchestration work for multi-step workflows?

AI-driven web task orchestration works by sending your web instruction to a cloud API endpoint. The AI browser executes the multi-step workflow autonomously, while you poll the task endpoint until it returns the finished structured data.

Do I need an API key to automate web tasks with cloud browsing?

Yes, you need an authenticated Browser Use API workflow using a BROWSER_USE_API_KEY. This key validates your requests when creating tasks via POST and polling their status until the web automation finishes and returns results.

Can I verify what actions the browser performed during multi-step web scraping?

Yes, you can verify browser actions during multi-step web scraping through an auditable step trace. The execution produces detailed action steps, including screenshots, allowing you to verify exactly what the automated browser did on the site.

Why should I use cloud browsing instead of local browser automation for dynamic sites?

Cloud browsing eliminates the difficulty of performing multi-step web automation on dynamic sites by replacing manual local browser work with reliable cloud-driven task execution. It handles complex interactions and returns structured output without local environment dependencies.