Ilmenite vs Browserbase — Which One for AI Agents?

AI agents require reliable web data to function, but the infrastructure used to get that data varies wildly. If you are looking for a browserbase alternative, the choice usually comes down to whether you need a remote browser tab or a data-focused API.

TL;DR

Browserbase provides cloud-hosted Chrome infrastructure for complex browser automation. Ilmenite is a high-performance web scraping API built in Rust that returns clean markdown and structured data. For most AI agents and RAG pipelines, Ilmenite is faster, cheaper, and simpler because it eliminates browser-hour metering.

What is Browserbase?

Browserbase is a "browser-as-a-service" platform. Instead of running headless Chrome on your own servers—which is resource-intensive and prone to memory leaks—Browserbase hosts the browser instances for you in the cloud.

When you use Browserbase, you are essentially renting a remote Chrome tab. You connect to this tab using standard automation libraries like Playwright or Puppeteer. You write the scripts to navigate the page, click buttons, and extract the HTML yourself.

This approach is powerful because it provides a full Chrome environment. It supports every CSS property and complex JavaScript execution perfectly. It is designed for developers who need total control over the browser session and are comfortable managing the automation logic.

What is Ilmenite?

Ilmenite is a web scraping API specifically built for AI agents. Unlike infrastructure providers, we do not give you a remote browser tab to manage. Instead, we provide an API endpoint that handles the entire process of fetching and cleaning web data.

You send a URL to the API, and Ilmenite's custom browser engine—built in pure Rust—renders the page, strips away the noise (ads, navigation, scripts), and returns clean markdown or structured JSON.

Because we built our own engine in Rust rather than wrapping Chrome, we have eliminated the massive overhead associated with Chromium. This allows us to offer sub-millisecond startup times and a significantly smaller memory footprint. For developers building RAG pipelines or autonomous agents, Ilmenite removes the need to write and maintain fragile Playwright scripts.

Feature Comparison: Finding the Right Browserbase Alternative

When evaluating a browserbase alternative, it is important to distinguish between "browser infrastructure" and a "scraping API."

Feature	Browserbase	Ilmenite
Core Offering	Cloud Chrome Infrastructure	Web Scraping API
Primary Output	Remote Browser Session	Markdown, JSON, HTML
Logic Location	Client-side (Playwright/Puppeteer)	Server-side (API-managed)
Cold Start	500ms - 2,000ms	0.19ms
Memory Usage	200MB - 500MB per session	~2MB per session
Pricing Model	Browser-hours (Time-based)	Credits (Operation-based)
AI Integration	Manual extraction	Native Markdown & MCP Server
Deployment	Managed Cloud	Managed Cloud or Self-hosted

Performance Comparison

The architectural difference between Node.js/Chrome and pure Rust is most evident in the benchmarks. Chrome is a general-purpose browser designed to render complex visuals for humans. Ilmenite is a specialized engine designed to extract data for LLMs.

Metric	Ilmenite	Chrome-based (Browserbase)
Cold start time	0.19ms	500-2,000ms
RAM per session	~2MB	200-500MB
Docker image size	12MB	500MB-2GB
p95 API latency	47ms	200-2,000ms

Because Ilmenite starts in 0.19ms, it is 2,600x faster to initialize than Chrome-based alternatives. For an AI agent that needs to make multiple quick requests to navigate a site, this difference is the gap between a responsive experience and a lagging one.

Furthermore, the memory efficiency is stark. A $5/month server can run 1,000 concurrent Ilmenite sessions, whereas the same server would struggle to maintain 5 to 10 Chrome sessions without crashing due to OOM (Out of Memory) errors.

Pricing: Browser-Hours vs. Credits

One of the most critical differences when choosing a browserbase alternative is how you are billed.

Browserbase uses browser-hour metering. You pay for the amount of time the browser instance remains open. This creates a "hidden tax" on AI agents. If your agent opens a page, spends 30 seconds "thinking" or processing the data with an LLM, and then closes the tab, you are billed for those 30 seconds of browser time, regardless of whether the browser was actually doing work.

Ilmenite uses a credits-based model. You pay per operation.

• Scrape: 1 credit
• Crawl (per page): 1 credit
• Extract (LLM): 5 credits

Whether the page takes 100ms or 10 seconds to load, and whether your agent takes one second or one hour to process the result, the cost remains the same. This makes costs predictable and significantly cheaper for high-volume AI applications. You can find our full pricing details here.

Implementation Comparison

To illustrate the difference in developer experience, consider the task of getting the text content of a page for an LLM.

The Browserbase Approach (Playwright)

You must manage the connection, navigate, and manually extract the text.

import { chromium } from 'playwright';

// Connect to Browserbase remote browser
const browser = await chromium.connectOverCDP('wss://connect.browserbase.com?apiKey=YOUR_API_KEY');
const page = await browser.newPage();
await page.goto('https://example.com');

// Manually extract content and clean it
const content = await page.innerText('body'); 
await browser.close();

The Ilmenite Approach (API)

You send a request and receive LLM-ready markdown immediately.

curl -X POST https://api.ilmenite.dev/v1/scrape \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com", "format": "markdown"}'

For most developers, the API approach is preferable because it removes the burden of maintaining selector logic and managing browser lifecycles.

When to use Browserbase

Browserbase is a powerful tool, and there are specific scenarios where it is the correct choice:

1. Complex Browser Automation: If you need to perform a long sequence of actions—such as logging into a portal, navigating through three different menus, filling out a multi-step form, and then downloading a file—a remote browser is necessary.
2. Pixel-Perfect Rendering: If your use case requires exact CSS rendering for high-resolution screenshots or visual testing, Browserbase's full Chrome environment is superior.
3. Long-Lived Sessions: If you need a browser to stay open for an extended period to maintain a complex state or WebSocket connection.

When to use Ilmenite

Ilmenite is the better choice for the vast majority of AI-driven applications:

1. RAG Pipelines: When you need to turn thousands of URLs into clean markdown for embedding in a vector database.
2. Autonomous AI Agents: When your agent needs to "read" the web to answer a query. Our MCP integration allows Claude and other assistants to browse the web natively.
3. High-Scale Data Extraction: When you are scraping millions of pages and cannot afford the memory overhead or the cost of browser-hour billing.
4. Serverless Environments: Because of our 12MB Docker image and sub-millisecond startup, Ilmenite is ideal for Lambda or Google Cloud Functions where cold starts are a primary concern.

Conclusion

Browserbase provides the "car" (the browser), and you have to drive it. Ilmenite provides the "delivery" (the data), and we handle the driving for you.

If you need a full-featured remote Chrome instance for complex automation, Browserbase is an excellent service. However, if you are building an AI agent that needs clean, fast, and affordable web data, Ilmenite is the more efficient choice. By replacing heavy Chrome instances with a pure Rust engine, we provide a solution that is 2,600x faster to start and significantly cheaper to scale.

Ready to stop managing browser infrastructure? Start for free today—no credit card required. You can also explore our documentation to see how to integrate the API into your Python or TypeScript project.