js-eyesInstall, configure, verify, and troubleshoot JS Eyes browser automation for OpenClaw.
Install via ClawdBot CLI:
clawdbot install imjszhang/js-eyesGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/imjszhang/js-eyesAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
AI agents can continuously monitor specific websites for updates, such as news articles, product listings, or price changes, by extracting HTML content and executing scripts to detect changes. This is useful for competitive intelligence, market research, or real-time alerts in industries like e-commerce and finance.
Developers and QA teams can use JS Eyes to automate browser interactions, simulate user actions, and validate web application functionality by opening URLs, executing JavaScript, and checking responses. This reduces manual testing efforts and ensures consistent performance across different browsers.
Organizations can automate the collection of structured data from multiple web sources by navigating pages, extracting HTML, and running custom scripts to parse information. This supports data-driven decision-making in fields like academic research, business analytics, and content curation.
Support agents can leverage JS Eyes to automate repetitive browser tasks, such as accessing customer accounts, retrieving session data via cookies, and generating reports. This improves efficiency in handling support tickets and reduces human error in industries like tech support and SaaS.
Security professionals can use the tool to audit websites for vulnerabilities, check cookie policies, and monitor client connections by executing scripts and analyzing HTML. This helps ensure compliance with regulations like GDPR and enhances cybersecurity measures in sectors such as finance and healthcare.
Offer JS Eyes as a cloud-hosted service with tiered pricing based on usage, such as number of automated tasks or concurrent browser sessions. This model provides recurring revenue and appeals to businesses needing scalable browser automation without managing infrastructure.
Sell customized licenses to large organizations for internal use, including premium support, advanced features, and integration with existing AI frameworks. This model targets corporations in tech, finance, and e-commerce seeking dedicated automation solutions.
Provide a free version with basic automation capabilities, while charging for advanced features like high-volume data extraction, priority support, or additional browser extensions. This attracts individual developers and small teams, converting them to paid users as needs grow.
💬 Integration Tip
Ensure Node.js and the ws package are installed, and verify the browser extension is properly configured to connect to the WebSocket server for seamless automation.
Scored Jun 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.
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