Verified:GitHub

Agent Browser

Automate web browsing tasks with the agent-browser CLI and JSON output.

1|Updated May 1, 2026

Search Tags:#data extraction #browser automation #agent workflow #web scraping #form filling #ui testing #headless browser

Ready to run

npx skills add https://github.com/e2662020/QuickMovie --skill agent-browser-e2662020

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Agent Browser
Source: https://github.com/e2662020/QuickMovie/tree/main/skills/agent-browser
Command: npx skills add https://github.com/e2662020/QuickMovie --skill agent-browser-e2662020

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the need for manual web browsing when AI agents need to navigate sites, extract data, or complete form-based workflows, saving time and reducing human error.

Core Features & Use Cases

Web Navigation & Interaction: Navigate to URLs, click elements, fill forms, and scroll pages using stable element references for reliable automation.
Structured Data Extraction: Capture page content, element text, and attributes in machine-readable formats for downstream processing.
Use Case: For example, use this Skill to automatically log into a web app, extract user data from a dashboard, and save it to a file without manual clicks.

Quick Start

Use the Agent Browser skill to navigate to the target company website, extract all contact information from the team page, and save it to a CSV file.

Frequently Asked Questions about Agent Browser

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

FAQPage Schema

How do I automate web scraping and form filling with an AI agent?▼

To automate web scraping and form filling, you can use an AI agent to navigate URLs, click elements, and submit forms. This approach relies on stable element references to reliably execute web UI testing and automated browsing tasks.

Can I extract structured data from web pages for programmatic parsing?▼

Yes, you can extract structured data from web pages by capturing page content, element text, and attributes. The browser automation process outputs machine-readable JSON formats, enabling seamless downstream processing and programmatic parsing.

Does headless browser automation require any specific environment setup?▼

Headless browser automation requires the agent-browser CLI tool installed globally or accessible via PATH. Once configured in your environment, the agent can perform page navigation and content extraction without manual browser interaction.

What is the best way to manage authenticated sessions for automated web browsing?▼

The best way to manage authenticated sessions for automated web browsing is using an AI agent workflow to handle login forms and maintain session state. This enables continuous navigation and data extraction behind authentication walls.

How do I capture page content and element attributes in machine-readable formats?▼

You capture page content and element attributes by executing browser automation commands that return JSON output. This allows the agent to extract structured data directly from the DOM for immediate use in data pipelines.

Are there limitations when using AI agents for web UI testing?▼

Limitations for web UI testing include reliance on stable element references for reliable automation. If page structures change dynamically, element interaction and data extraction may fail without updated references.