Agent Browser Skippedv1.0.0

An AI agent navigates through an e-commerce site, opens product listing pages, extracts prices, descriptions, and availability using snapshot and get commands, and stores the data for competitive analysis. This can be run periodically to monitor pricing changes.

The agent fills out multi-step loan application forms by locating input fields via refs, entering personal and financial data, uploading documents, and submitting. It handles validation errors by using wait conditions and re-filling fields.

A QA engineer uses agent-browser to script end-to-end tests: navigate to a web app, log in, click through workflows, check UI state with is commands, and take screenshots of failures. The tool integrates into CI/CD pipelines via Bash.

The agent visits multiple real estate listing sites, searches for properties in a given area, extracts listing details (price, sq ft, bedrooms) using get commands, and compiles a structured dataset for market analysis.

An AI registers users on multiple web platforms by navigating to signup pages, filling forms with generated data, handling CAPTCHAs via manual fallback, and verifying successful registration via snapshot checks.

Provide a subscription-based service where customers integrate agent-browser to automate their web tasks—price monitoring, form filling, data extraction. Revenue comes from monthly/annual subscriptions based on usage (e.g., number of API calls or browser sessions).

Offer a managed service that uses agent-browser to run regression and smoke tests for SaaS products. Clients pay per test suite execution or a flat monthly retainer for continuous testing integrated with their CI/CD.

Build a platform where businesses request structured data from any public website. Use agent-browser to navigate and extract data, and charge per record or per extraction job. Ideal for lead generation, market research, and competitor analysis.