New Private beta — built with Rust

Web context for AI agents,
without the noise.

Strips any website's chaotic HTML into a dense, token-saving map of structural text and interactive coordinates. Agents get clean context — then every successful run compiles into a zero-LLM automation script.

Get early access → See how it works

web4ai — agent session

# Map any page — get a structured context back

$ web4ai map https://example.com/checkout

status ✓ mapped

tokens 312 (was 4,800 raw HTML — 93% reduction)

elements [

{ type: "input", label: "Email", coords: [240, 380] },

{ type: "button", label: "Place Order", coords: [240, 520] },

{ type: "text", content: "Total: $49.00" }

]

script auto-compiled → checkout_automation.py

# Script runs forever at zero LLM cost

$ python checkout_automation.py

✓ Completed · 0 LLM tokens · $0 runtime cost

Works with every AI stack

🤖 Claude

✨ GPT-4o

🔷 Gemini

🦙 Llama

🖥️ Cursor

🌊 Windsurf

⚡ LangChain

🦜 LangGraph

🔗 CrewAI

🤗 Hugging Face

🔌 AutoGen

🛠️ MCP Protocol

🤖 Claude

✨ GPT-4o

🔷 Gemini

🦙 Llama

🖥️ Cursor

🌊 Windsurf

⚡ LangChain

🦜 LangGraph

🔗 CrewAI

🤗 Hugging Face

🔌 AutoGen

🛠️ MCP Protocol

How it works

From messy HTML to production automation

A hybrid loop that pairs lightweight AI decisions with a Rust execution engine — then compiles every success into a reusable script.

01 / 03

🗺️

Map any page

Point web4ai at any URL. The Rust engine renders the page, strips the noise, and returns a structural map with every interactive element's text label and screen coordinates.

02 / 03

🧠

AI decides, Rust executes

Your agent reads the compact context map and decides the next action. web4ai's Rust engine executes it — clicking, typing, navigating — while handling anti-bot walls transparently.

03 / 03

⚙️

Auto-compile to scripts

Once the agent completes a task, web4ai compiles every step into a production-ready automation script. Run it millions of times at zero LLM cost — no agent needed at runtime.

Features

Everything agents need from the web

Token Efficiency

Up to 90% fewer tokens per page

90_%

Raw HTML is brutal on context windows. web4ai strips it to a structured map of text and coordinates — cutting token usage dramatically while preserving everything agents need to act.

Zero Cost at Scale

Explore once, run forever at $0

Exploration uses your LLM once to figure out the task. web4ai compiles that path into a deterministic script — no LLM needed at runtime.

# Explore — uses LLM once web4ai explore --task "fill checkout form" ✓ Compiled → checkout.script # Production — zero LLM, runs forever web4ai run checkout.script --n 10000 ✓ 10,000 runs · $0 LLM cost

Hybrid Loop

Smart AI decisions + fast Rust execution

Lightweight AI decisions stay local and cheap. Heavy browser work runs in Rust. Best of both.

🧠

AI reads context map — decides next action locally, cheaply

⚡

Rust engine executes — click, type, navigate, bypass bot walls

✓

Task complete — path compiled to a production script automatically

Coverage

Works on the whole web

JS-heavy SPAs, Cloudflare-protected sites, login walls, dynamic content — handled transparently. No proxy configuration required.

✓ Cloudflare ✓ SPAs / React ✓ Login walls ✓ Shadow DOM ✓ Dynamic content

Output Formats

JSON, Markdown, or coordinates

Get page data in exactly the format your pipeline needs — structured JSON schemas, LLM-ready Markdown, or raw coordinate maps for direct interaction.

{ "page": "checkout", "elements": [ { "label": "Email", "x": 240, "y": 380 } ], "tokens": 312 }

Integration

MCP server + REST API + SDKs

Connect via MCP to Cursor, Claude Code, and Windsurf in one command. Official SDKs for Python and Node.js. REST API for everything else.

# MCP — one command to connect npx web4ai init --mcp --all # Python SDK from web4ai import Client client = Client(api_key="...")

Use cases

Built for what agents actually do

web4ai is infrastructure — not a scraper. It powers any workflow where AI needs to read or interact with the live web.

🔍

Deep Research Agents

Give research agents clean, structured context from any web source — no token bloat from raw HTML, no hallucinations from truncated content.

🛒

E-commerce Automation

Automate checkout flows, price monitoring, and inventory checks. Explore once with AI, then run deterministic scripts forever at zero LLM cost.

🧩

RAG Pipelines

Feed your vector stores with clean, structured web content — not messy HTML. Better embeddings, better retrieval, better answers.

📊

Lead Enrichment

Enrich contact and company profiles from across the web. Structured output maps directly to your CRM schema — no post-processing needed.

🔔

Monitoring & Alerts

Watch any web page for changes — price drops, stock updates, content edits — and trigger alerts or agent actions automatically.

🤝

User Onboarding

Scrape and import web content to pre-populate user workspaces, seed knowledge bases, or bootstrap onboarding flows automatically.

Pricing

Simple, honest pricing

Only pay for explorations. Compiled scripts run free — forever.

Free

forever · no card required

For exploring and prototyping. See what's possible.

100 page maps / month
10 explorations / month
Compiled scripts: unlimited
REST API access
Community support

Get started

Pro

$49

per month

For teams shipping production AI agents.

10,000 page maps / month
500 explorations / month
Compiled scripts: unlimited
Anti-bot bypass included
Script versioning & history
Priority support + SLA
Webhook notifications

Join waitlist →

Enterprise

Custom

volume pricing

High-volume workloads and custom requirements.

Unlimited page maps
Unlimited explorations
On-prem deployment
Custom engine config
Dedicated support team
SLA & uptime guarantees
SSO / SAML

Talk to us

FAQ

Common questions

What is web4ai? +

web4ai converts any website's HTML into a dense, token-efficient map of structural text and interactive element coordinates. AI agents use this map to make decisions locally, while our Rust engine handles browser interactions — clicking, typing, navigating — at high speed.

How does "zero LLM cost at scale" work? +

When an AI agent first explores a task, it uses your LLM to decide each step. web4ai records every successful step and compiles it into a deterministic script. That script runs forever — across millions of executions — without any LLM calls.

How does web4ai handle anti-bot protections? +

Our Rust-based browser engine behaves like a real browser, handling common bot-detection systems including Cloudflare, PerimeterX, and DataDome. JavaScript rendering, browser fingerprinting, and realistic interaction patterns are handled automatically.

Which AI frameworks does web4ai work with? +

web4ai is model-agnostic and framework-agnostic. It works with any LLM (Claude, GPT-4o, Gemini, Llama) and any agent framework (LangChain, LangGraph, CrewAI, AutoGen, custom). We also provide an MCP server for Cursor, Claude Code, and Windsurf.

How is web4ai different from Firecrawl or Playwright? +

Firecrawl is a read-only scraper that returns Markdown — it can't interact with pages. Playwright and Puppeteer are dev tools for browser automation but are slow and require heavy setup. web4ai delivers interactive coordinate maps (not just text), executes actions via Rust, and uniquely auto-compiles successful agent runs into production scripts that need zero LLM at runtime.

What SDKs and languages are supported? +

web4ai has a REST API and official SDKs for Python and Node.js, with Go and Rust SDKs in development. You can also use it via CLI or as an MCP server. Documentation will be available at launch.