browsy-ai 0.1.1

Zero-render browser engine for AI agents

browsy-ai

Zero-render browser SDK for AI agents. Browse, interact with, and extract data from web pages without launching a browser.

browsy converts HTML into a Spatial DOM — a flat list of interactive elements with bounding boxes, roles, and states — at a fraction of the cost and latency of screenshot-based automation.

	Screenshot-based	browsy
Runtime	Chromium process	None (Rust library)
Memory	~300MB/page	~5MB/page
Latency	2-5s	<100ms
Token cost	~10k+	~200-800

Install

pip install browsy-ai

With framework integrations:

pip install browsy-ai[langchain]   # LangChain tools
pip install browsy-ai[crewai]      # CrewAI tool
pip install browsy-ai[openai]      # OpenAI function calling
pip install browsy-ai[autogen]     # AutoGen integration
pip install browsy-ai[smolagents]  # HuggingFace smolagents
pip install browsy-ai[all]         # All integrations

Quick Start

import browsy

# Parse HTML directly
dom = browsy.parse(html, 1920.0, 1080.0)
print(dom.page_type)
print(dom.suggested_actions)

# Session-based browsing
session = browsy.Session()
dom = session.goto("https://example.com")
session.type_text(19, "hello")
session.click(34)

LangChain

from browsy.langchain import get_tools
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

llm = ChatOpenAI(model="gpt-4o")
tools = get_tools()

agent = create_react_agent(llm, tools)
result = agent.invoke({
    "messages": [{"role": "user", "content": "Go to news.ycombinator.com and list the top 5 stories"}]
})

CrewAI

from browsy.crewai import BrowsyTool
from crewai import Agent, Task, Crew

browsy_tool = BrowsyTool()
researcher = Agent(
    role="Web Researcher",
    goal="Find and summarize information from web pages",
    tools=[browsy_tool],
)

OpenAI Function Calling

from browsy.openai import get_tool_definitions, handle_tool_call

tools = get_tool_definitions()
result = handle_tool_call("browsy_browse", {"url": "https://example.com"})

AutoGen

from browsy.autogen import BrowsyBrowser
from autogen import ConversableAgent

browser = BrowsyBrowser()
assistant = ConversableAgent(name="web_assistant", llm_config={...})
browser.register(assistant)

Smolagents

from browsy.smolagents import BrowsyTool
from smolagents import CodeAgent, HfApiModel

tool = BrowsyTool()
agent = CodeAgent(tools=[tool], model=HfApiModel("Qwen/Qwen2.5-Coder-32B-Instruct"))
result = agent.run("Go to example.com and extract the heading.")

Documentation

• Full docs
• Python guide
• Framework integrations
• browsy.dev

License

MIT