Skill

Automate Browser Tasks with CLI-Driven Web Interaction

BrowserAct is a browser automation CLI for AI agents that supports real browser interaction, JavaScript-rendered extraction, screenshots, network capture


83
Spark score
out of 100
Updated 9 days ago
Version 15.7.1

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Why it matters

Enable AI agents to interact with web browsers programmatically through a command-line interface that handles JavaScript rendering, captures screenshots and network traffic, manages multiple isolated sessions, and escalates to human operators when verification is needed.

Outcomes

What it gets done

01

Drive real browser interactions and extract content from JavaScript-rendered pages

02

Capture screenshots and network traffic during automated browsing sessions

03

Run parallel browser sessions with isolated account contexts

04

Handle verification challenges and hand off to human operators when needed

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-browser-act | bash

Overview

BrowserAct Browser Automation

BrowserAct is a command-line interface that enables AI agents to automate real browser interactions. It handles JavaScript-rendered content extraction, captures screenshots and network traffic, manages parallel account isolation, and includes verification handling and human handoff features. Use BrowserAct when your AI agent needs to interact with JavaScript-heavy websites that require real browser rendering, or when you need to manage multiple isolated browser sessions in parallel.

What it does

BrowserAct is a browser automation command-line interface designed for AI agents. It enables agents to interact with real browsers, extract content from JavaScript-rendered pages, capture screenshots and network traffic, and manage parallel account isolation. It includes verification handling and human handoff capabilities.

When to use - and when NOT to

Use BrowserAct when your AI agent needs to automate tasks on websites that require real browser rendering, particularly those with JavaScript-heavy interfaces that static scrapers cannot handle. It is ideal for scenarios requiring parallel execution across multiple isolated accounts or capturing visual or network-level data.

Do not use BrowserAct when simple HTTP requests or API calls can accomplish your task - the overhead of full browser automation is unnecessary for static content or well-documented APIs. Avoid it when you need real-time, sub-second response times, as browser automation inherently introduces latency compared to direct API access.

Inputs and outputs

Users provide commands through the CLI to direct browser actions. BrowserAct accepts instructions for navigation, interaction, and data extraction tasks. The tool outputs extracted content from JavaScript-rendered pages, screenshots of browser states, captured network traffic data, and status information about automation tasks.

Who it's for

BrowserAct is designed for developers working with AI agents that need to automate browser-based tasks. It serves those who need to extract data from JavaScript-rendered websites and manage multiple isolated browser sessions in parallel.

Source README

BrowserAct is a browser automation CLI for AI agents. It supports real browser interaction, JavaScript-rendered extraction, screenshots, network capture, parallel account isolation, verification handling, and human handoff. The canonical Skill is maintained at browser-act/skills.

FAQ

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