Can I use Dev Browser with sites that require a login?

Yes. By using the Extension Mode, the skill connects to your existing Chrome browser, allowing it to perform actions within your already authenticated web sessions.

Is Dev Browser suitable for large-scale data scraping?

Yes. Beyond simple DOM scraping, it supports intercepting network requests to discover schemas and replay paginated API calls for more efficient data collection.

What happens if a script fails mid-way through a task?

Because the browser state is persistent on the server, you can inspect the current page, take a debug screenshot, and write a new script to continue from the exact point of failure.

How does the AI know which buttons to click without CSS selectors?

The skill uses the getAISnapshot method to generate a YAML-formatted accessibility tree. This allows the AI to identify elements via unique references (e.g., [ref=e1]) based on their semantic role and labels.

Dev Browser Automation

Name: Dev Browser Automation
Author: numman-ali

bynumman-ali

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825

Browser Automation

Automates complex browser workflows and maintains persistent page state for seamless web interaction and data extraction.

About

Dev Browser is a high-performance automation skill that empowers AI agents to interact with web browsers while maintaining state across multiple script executions. It supports two primary modes: a standalone Chromium instance for clean sessions and a Chrome extension mode for interacting with authenticated user sessions. By utilizing ARIA snapshots for intelligent element discovery and Playwright-based control, it enables users to automate form filling, perform visual testing, capture screenshots, and scrape dynamic data through network interception without needing to write brittle CSS selectors.

Key Features

Dual-mode support for standalone Chromium or existing Chrome sessions
Network request interception and replay for efficient data scraping
Incremental workflow execution with automated visual feedback via screenshots
825 GitHub stars
Persistent page state preservation across multiple script runs
ARIA snapshot technology for simplified element discovery and interaction

Use Cases

Automating multi-step workflows in authenticated web applications
Performing end-to-end testing and visual regression checks on local or production sites
Extracting complex datasets from dynamic web pages using API request replay

About

Key Features

Dual-mode support for standalone Chromium or existing Chrome sessions
Network request interception and replay for efficient data scraping
Incremental workflow execution with automated visual feedback via screenshots
825 GitHub stars
Persistent page state preservation across multiple script runs
ARIA snapshot technology for simplified element discovery and interaction

Use Cases

Automating multi-step workflows in authenticated web applications
Performing end-to-end testing and visual regression checks on local or production sites
Extracting complex datasets from dynamic web pages using API request replay