Ilmenite vs ScrapingBee — API Comparison

If you are looking for a scrapingbee alternative to power an AI agent or a RAG pipeline, the choice comes down to whether you need proxy management or AI-ready data. ScrapingBee is a powerful proxy and headless browser service designed for traditional scraping. Ilmenite is a web scraping API built specifically for AI agents, delivering clean markdown and structured JSON with a Rust-based engine.

TL;DR

ScrapingBee excels at proxy rotation and bypassing blocks for traditional data extraction. Ilmenite is designed for AI applications, offering markdown output, MCP integration, and significantly lower infrastructure overhead. Choose Ilmenite if you are feeding web data into an LLM and need sub-millisecond startup times.

What is ScrapingBee?

ScrapingBee is an established API that simplifies the process of scraping websites by handling the most difficult parts of the infrastructure: proxy management and headless browser rendering. Instead of managing a pool of residential proxies and configuring Puppeteer or Playwright, developers send a request to ScrapingBee, and the service handles the rotation of IP addresses to avoid blocks.

Their primary value proposition is reliability in the face of anti-bot protections. They provide a robust network of proxies and a headless Chrome environment to render JavaScript-heavy pages. For teams that need to scrape thousands of different domains without getting their IPs banned, ScrapingBee provides a managed layer that abstracts the complexity of browser fingerprints and proxy rotation.

ScrapingBee is a "general purpose" scraping tool. It returns the HTML of a page, which the developer must then parse using libraries like BeautifulSoup or Cheerio. While they offer some extraction features, the core of the product is about getting the raw HTML from a page that is trying to block you.

What is Ilmenite?

Ilmenite is a web scraping API built in pure Rust, specifically engineered for the requirements of AI agents and LLM-based applications. Unlike traditional scrapers that return raw HTML, Ilmenite is AI-native. It converts web pages directly into clean markdown, which is the preferred format for LLMs because it preserves structure while removing the noise of HTML tags.

The core differentiator is the architecture. Most scraping APIs, including ScrapingBee, wrap headless Chrome. Chrome is resource-heavy, slow to start, and prone to memory leaks. Ilmenite uses its own browser engine built in Rust. This allows for a 0.19ms cold start and a memory footprint of only 2MB per session.

Ilmenite provides a suite of endpoints designed for AI workflows. The /v1/scrape endpoint handles the conversion to markdown, /v1/crawl indexes entire sites for RAG pipelines, and /v1/extract uses LLMs to turn unstructured web pages into structured JSON based on a schema you provide. Additionally, Ilmenite offers a native MCP (Model Context Protocol) server, allowing AI assistants like Claude to browse the web directly using Ilmenite's infrastructure.

Feature Comparison: ScrapingBee vs. Ilmenite

When searching for a scrapingbee alternative, it is important to distinguish between "infrastructure for scraping" and "data for AI."

Feature	ScrapingBee	Ilmenite
Primary Output	Raw HTML	Clean Markdown / Structured JSON
Core Engine	Headless Chrome	Pure Rust Browser Engine
Proxy Rotation	Advanced / Built-in	Basic / Integrated
AI-Native Features	Minimal	Markdown, MCP, LLM Extraction
Cold Start Time	500ms - 2,000ms	0.19ms
Memory Usage	200MB - 500MB per session	~2MB per session
Deployment	Managed API	Managed API or Self-hosted (Docker)
PDF Extraction	Limited	Full text + OCR
Developer SDKs	Various	Python, TypeScript, Rust

Performance Comparison

The performance gap between Ilmenite and Chrome-based services like ScrapingBee is a result of the underlying language. ScrapingBee relies on the Chrome engine, which must initialize a full browser process for every session. Ilmenite's Rust-based architecture eliminates this overhead.

Metric	Ilmenite	Chrome-based Alternatives
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
HTML parsing (12KB page)	134μs	N/A

For a developer building an autonomous agent, these numbers matter. A 2-second cold start for every page a bot visits creates a sluggish user experience. A 0.19ms startup allows an agent to move through a website with near-instantaneous response times.

Pricing Comparison

ScrapingBee typically uses a monthly subscription model with a set number of credits. Their pricing is geared toward users who need constant proxy rotation and high-volume HTML retrieval.

Ilmenite uses a credits-based, pay-as-you-go model. There are no monthly commitments or subscriptions required to get started.

Ilmenite Pricing Tiers:

• Free: 0/mo (500 credits/month, no credit card required).
• Developer: 0.001 per credit (Pay as you go, 5 minimum top-up).
• Pro: 0.0006 per credit (Priority queue, 99.9% SLA).
• Enterprise: Custom pricing for self-hosted and SOC 2 compliance.

Credit Costs per Operation:

• Scrape: 1 credit
• Crawl (per page): 1 credit
• Search: 2 credits
• Extract (LLM): 5 credits
• Chrome JS render: 3 credits

You can view the full pricing details on our website. For most AI developers, paying $0.001 per page is more cost-effective than maintaining a monthly subscription for infrastructure they may not fully utilize.

When to use ScrapingBee

ScrapingBee is a highly capable tool, and in certain scenarios, it is the correct choice. You should use ScrapingBee if:

1. You need massive proxy rotation. If your primary goal is to scrape a site that has extremely aggressive IP blocking and you need rotating residential proxies across different countries, ScrapingBee's infrastructure is built for this.
2. You need raw HTML for traditional parsing. If you have an existing pipeline built on BeautifulSoup or Scrapy and you simply need a way to get the HTML without managing your own headless Chrome instances, ScrapingBee is a reliable choice.
3. You are not using an LLM. If your project is a traditional data aggregation tool (like a price tracker that saves to a CSV) and doesn't require markdown or structured extraction, the AI-native features of Ilmenite are not necessary.

When to use Ilmenite as a scrapingbee alternative

Ilmenite is designed for the "Post-AI" era of web scraping. You should use Ilmenite if:

1. You are building AI agents or RAG pipelines. LLMs struggle with raw HTML but excel with markdown. Ilmenite's scrape endpoint removes the boilerplate (navbars, footers, scripts) and returns only the content the AI needs.
2. Speed and latency are critical. If you are building a real-time AI assistant, you cannot afford a 2-second browser startup. Ilmenite's 0.19ms cold start ensures your agent feels responsive.
3. You need structured data without writing selectors. Instead of spending hours writing CSS selectors that break when a website updates its UI, you can use the extract endpoint to define a JSON schema and let the API handle the extraction.
4. You want to integrate with Claude. Through our MCP integration, you can give your AI assistant the ability to browse the web using a lightweight, fast engine.
5. You require self-hosting. For enterprise teams with strict data residency or security requirements, Ilmenite can be deployed as a 12MB Docker container in your own air-gapped environment.

Example: Getting Markdown with Ilmenite

To show the difference in simplicity, here is how you can get clean markdown from a URL using Ilmenite's API. You don't need to configure proxies or parse HTML; the API does it in one call.

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/blog-post",
    "format": "markdown"
  }'

The response is a clean markdown string ready to be inserted into a vector database or passed directly to a prompt.

Conclusion

ScrapingBee and Ilmenite solve different problems. ScrapingBee is a powerful infrastructure tool for bypassing blocks and retrieving HTML. Ilmenite is a data engine for AI, focusing on speed, markdown output, and structured extraction.

If you are building a traditional scraper, ScrapingBee is a proven tool. But if you are building the next generation of AI agents, you need a tool that speaks the language of LLMs. With sub-millisecond startup, a tiny memory footprint, and AI-native outputs, Ilmenite is the most efficient choice for developers.

Ready to stop managing headless browsers? Sign up for free and start scraping for your AI agents today. You can also test our performance in the playground.