agentic-browser-0-1-2Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
Install via ClawdBot CLI:
clawdbot install xyny89/agentic-browser-0-1-2Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgjw8atdxgkrAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
An AI agent uses the browser automation to scrape competitor pricing, product details, and customer reviews from e-commerce websites. It navigates through pagination, extracts structured data using JavaScript execution, and records sessions for audit trails. This enables real-time market analysis without manual browsing.
The agent automates lead capture by filling out contact forms on multiple business directories or event registration sites. It interacts with input fields using @e refs, uploads files like resumes, and handles dynamic content with re-snapshots. This streamlines outreach campaigns and reduces manual data entry errors.
QA teams employ the agent to perform automated testing of web applications, simulating user interactions like clicking buttons, dragging elements, and checking checkboxes. Video recording captures bugs for debugging, and proxy support tests under different network conditions. This accelerates regression testing and improves software reliability.
Researchers automate browsing of academic journals, government databases, or social media to collect data for studies. The agent navigates complex sites, executes JavaScript to extract hidden data, and takes screenshots for documentation. This saves time in large-scale data aggregation and ensures consistency in data collection.
An AI agent monitors websites for inappropriate content or policy violations by regularly snapshotting pages, interacting with reporting buttons, and recording sessions as evidence. It uses element refs to click through moderation interfaces and can be scheduled for continuous surveillance. This enhances online safety and compliance efforts.
Offer a cloud-based platform where users pay a monthly fee to access the browser automation skill via inference.sh. Include tiers based on usage limits, advanced features like video recording, and priority support. Revenue comes from recurring subscriptions, targeting businesses needing scalable web automation solutions.
Provide consulting and development services to build tailored automation scripts using the agent-browser skill for specific client needs, such as data scraping or testing. Charge project-based fees or retainer models, leveraging the skill's capabilities to deliver efficient solutions. This model appeals to organizations lacking in-house expertise.
Offer a free tier with basic automation functions and limited sessions, while premium tiers unlock advanced features like proxy support, JavaScript execution, and higher concurrency. Monetize through API calls or enterprise licenses, encouraging adoption by individual developers and scaling up with business clients.
💬 Integration Tip
Start by automating simple tasks like form filling or screenshot capture to familiarize with the @e ref system, then gradually incorporate advanced features like video recording for debugging complex workflows.
Scored Apr 19, 2026
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Uses a headless browser to navigate web pages, interact with elements, and extract clean, readable text content from URLs.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
通过已登录的Edge或Chrome浏览器,利用Chrome DevTools Protocol执行JS渲染页面的导航、点击、截图及数据提取等自动化操作。
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High-performance browser automation for heavy scraping, multi-tab management, and precise DOM extraction. Use this when you need speed, reliability, or advanced state management (cookies/local storage) beyond standard web fetching.