Agent Browser - 浏览器自动化v1.0.0

An AI agent navigates to a web form, interacts with input fields using refs from snapshots, fills in data, selects dropdown options, and submits the form. This automates repetitive data entry tasks such as registration or order placement.

The agent opens competitor product pages, scrolls through listings, captures full-page screenshots, and extracts structured data (text, attributes, HTML) for analysis. This enables non-developers to gather market intelligence efficiently.

A QA agent records a demo by navigating a web app, performing clicks and fills, then stops the recording to output a WebM video. This creates reproducible test evidence without manual screen recording.

The agent periodically visits a dashboard, waits for specific text or URL patterns, takes a snapshot, and checks visibility of key elements. It can alert if expected content (e.g., 'Success' status) appears or fails.

An agent logs into a platform, navigates to the posting interface, uploads files, fills text, and clicks publish. It can also scroll and capture screenshots of feeds for reporting.

Offer the agent-browser CLI as a subscription-based API or microservice, where customers send commands and receive structured snapshots or screenshots. Revenue comes from usage tiers or monthly fees.

Package the skill with pre-configured scripts for common workflows (e.g., CRM data entry, invoice download) and sell as a turnkey solution to non-technical teams. Revenue from licensing or consulting.

Integrate agent-browser into a cloud-based test runner that records video and provides visual diffs. Charge per test run or per project with features like parallel execution.