What is browser-agent-py?

Browser Agent is an AI-powered browser automation tool that allows users to control browsing actions and extract structured data using natural language prompts. It simplifies web automation by eliminating the need for traditional scripting or static scraping rules.

Is browser-agent-py open source?

Please check the official repository for license details.

browser-agent-py: Browser Agent is an AI-powered browser automation tool that allows… (★ 1.4k)

Features

01Full control through browser AI – execute clicks, inputs, navigation, and scrolling.

02Multi-step task execution – define browsing flows in natural language.

03Multiple outputs – get results in JSON, Markdown, HTML, or PNG screenshots.

04Dynamic content support – interact with JavaScript-rendered pages.

05Schema-based extraction – request structured JSON after the browsing sequence completes.

Why choose it

+Full control through browser AI – execute clicks, inputs, navigation, and scrolling.

+E-commerce checkout simulation – add items to cart, apply coupon, confirm checkout flow.

+The latest recorded update is 2026-04-02, which suggests the project is still actively maintained.

Trade-offs

!Compatibility coverage looks narrow, so it is worth validating your target runtime before committing to it.

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Oxylabs AI Studio

Native Support

Verified via docs

Python

Required Python

Verified via docs

Quick start

$ pip install oxylabs-ai-studio

Use cases

↳E-commerce checkout simulation – add items to cart, apply coupon, confirm checkout flow.

↳Travel search automation – enter destinations, apply filters, and extract flight or hotel prices.

↳Job search scraping – search for a role, click through postings, extract job details.

How it compares

≈browser-agent-py sits in the Vision / Multimodal category, so it makes more sense to evaluate it alongside tools like ragflow instead of in isolation.

≈If your main need is closer to "E-commerce checkout simulation – add items to cart, apply coupon, confirm checkout flow.", that use case is a better lens for comparison than broad feature checklists alone.

≈browser-agent-py's licensing and community traction are both easier to judge in category context.