React Llm vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionReact LlmSpider Cloud
PricingFree (open source MIT)Freemium, ~$0.03/1k pages; AI Studio add-on $6/mo
Primary UseClient-side in-browser LLM inference via React hooksServer-side web data extraction for AI/LLMs
Execution EnvironmentBrowser (WebGPU) – fully client-sideCloud API (Rust engine) or self-hosted
Model AvailabilityVicuna-13B (built-in), load-once cachedAI Studio + Silk custom AI model (extraction, captcha solving)
Latest Notable FeatureNo recent updatesBrowser AI commands (Act, Extract, Observe) via WebSocket (Mar 2026)
Browser SupportChrome 113+ (WebGPU required)N/A (API-based)

Choose Spider Cloud if you need real-time web data for AI agents, RAG pipelines, or large-scale scraping. Choose React Llm if you want to run an LLM entirely in the browser with zero server cost and strong privacy. They serve different purposes — data ingestion vs. client-side inference.

React Llm
React Llm

Run LLMs in-browser with WebGPU — headless React hooks, just useLLM().

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
Web
WebAPICLI
Categories
💾 Local & On-Device AI📦 LLM App Frameworks & SDKs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Headless React hooks via useLLM()
Runs LLM entirely in browser (no server)
WebGPU acceleration for inference
Conversation caching in local storage
Load-once model, cached after first download
Powered by Apache TVM and MLC Relax Runtime
Built-in Vicuna-13B model
Open source under MIT license
Privacy-preserving: no data sent externally
Chat interface with history persistence
System prompt customization
Conversation title editing
File, Edit, Save menu actions
AIM-styled chat UI (nostalgic theme)
Conversation settings panel
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

Who should pick which

  • AI agent developer for RAG
    Pick: Spider Cloud

    Spider Cloud provides fast, reliable web data extraction with integrations for LangChain and LlamaIndex, perfect for populating a knowledge base.

  • Privacy-focused React developer
    Pick: React Llm

    React Llm runs entirely in the browser with no data leaving the client, ideal for sensitive data or offline-first apps.

  • Solo founder building a chatbot
    Pick: React Llm

    Free, easy to integrate with useLLM() hook, and requires no server costs. Good for prototyping a simple chatbot.

  • Large-scale data scraping team
    Pick: Spider Cloud

    Cost-effective at $0.03/1k pages, with 99.9% success and unblocker features. Better for high-volume extraction.

  • Researcher exploring WebGPU inference
    Pick: React Llm

    React Llm is built on WebGPU and TVM, allowing researchers to test browser-based LLM performance easily.

Frequently Asked Questions

React Llm vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need real-time web data for AI agents, RAG pipelines, or large-scale scraping. Choose React Llm if you want to run an LLM entirely in the browser with zero server cost and strong privacy. They serve different purposes — data ingestion vs. client-side inference.

Can I use Spider Cloud with React Llm together?

Yes, they are complementary. Use Spider Cloud to scrape data and feed it into a React Llm-powered client-side AI assistant.

Does React Llm work on all browsers?

No, it requires Chrome 113+ due to WebGPU support. Firefox and Safari are not supported.

What is the cost of Spider Cloud for a small project?

It is very low. With ~$0.03 per 1k pages, even scraping 100k pages costs $3. The AI Studio add-on is $6/mo optional.

Can React Llm be used for production apps?

It's best for prototypes or niche apps where privacy is critical. For broad production use, consider cloud-based LLM APIs.

Does Spider Cloud offer self-hosting?

Yes, the core is open-source on GitHub for self-hosting. The cloud version adds convenience and managed infrastructure.

How do I get started with React Llm?

Install via npm and use the useLLM() hook. First load downloads the Vicuna-13B model (a few minutes), then cached.

Does Spider Cloud support JavaScript rendering?

Yes, via Browser API with stealth anti-detection, including WebSocket commands for interaction.

What integrations does Spider Cloud support?

LangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify, plus data connectors to S3, GCS, Google Sheets, Azure Blob, Supabase.

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Last reviewed: July 3, 2026