Stellon Labs vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-14
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At a glance

DimensionStellon LabsSpider Cloud
Primary UseEdge AI inference on microcontrollersWeb crawling & scraping for AI agents/RAG
Output FormatTiny models (<1 MB) for on-device inferenceStructured data (Markdown, HTML, JSON, CSV, XML, etc.)
Latency<10 ms on ARM CPUsAPI response time varies
Target UsersEmbedded engineers, IoT developers, edge AI researchersDevs building AI agents, RAG pipelines, LLM tools

Spider Cloud and Stellon Labs serve completely different needs: one is a high-volume web scraping API optimized for AI data pipelines, the other is a research lab making ultra-compact models for offline edge inference. Buyers should choose based on whether they need real-time web data (Spider Cloud) or on-device AI (Stellon Labs). There is no overlap in use cases.

Stellon Labs
Stellon Labs

Ultra-compact AI models for edge devices and microcontrollers

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Spider Cloud
Spider Cloud

Spider Cloud is an AI web scraping API that turns any site into markdown or JSON for agents and RAG.

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Pricing
Contact Sales
Freemium
Plans
$1/GB + $0.001/min CPU
from $6/mo
$40/mo
$350/mo
Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
API
WebAPI
Categories
💾 Local & On-Device AI🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Ultra-compact model architectures under 1 MB
On-device inference without cloud dependency
Real-time inference under 10 ms on ARM CPUs
Quantization-aware training for edge hardware
Custom model fine-tuning for specific devices
Compatible with TensorFlow Lite and ONNX
Privacy-preserving local processing
Low energy consumption for battery-powered devices
Research publications and open-weight releases
Partnership programs for custom edge AI solutions
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with pages streaming back as JSONL, in order, as each finishes
Web search endpoint returns SERP results, scraped pages, and AI extraction in one call
Custom browser renders pages like a user: scripts run, lazy images load, infinite scroll completes
Unblocker handles bot walls, CAPTCHAs, and geo checks with automatic retries and rotating proxies
Browser Cloud runs full browser sessions with stealth and CAPTCHA solving on by default
AI commands (Act, Extract, Observe) sent directly over the Browser API WebSocket
AI Studio Alpha exposes natural-language extraction endpoints on your existing key
Two-phase AI extraction fallback: fast model for most pages, capable model for complex layouts
Proxy network with 215M+ residential and ISP exits across 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, Windsurf, and Claude Desktop
Agent skill file (SKILL.md) lets a coding agent self-onboard against the entire API
1,000+ ready-made scraper examples across 32 categories, each with working code
Provider router lets you fall back to outside providers on your own keys
10,000 core API requests per minute per account by default
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Julep
Claude Code
Codex
Cursor
Windsurf
Claude Desktop

Who should pick which

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud's crawling API integrates with LangChain, CrewAI, etc., and provides structured output for RAG pipelines at low cost.

  • Embedded engineer deploying AI on a microcontroller
    Pick: Stellon Labs

    Stellon Labs' <1 MB models run inference offline in <10 ms, ideal for battery-powered IoT with no cloud dependency.

  • Researcher building compact edge models
    Pick: Stellon Labs

    Stellon Labs offers quantization-aware training and custom fine-tuning for edge hardware, with research partnerships.

  • Data scientist building RAG bots
    Pick: Spider Cloud

    With 1,000+ scraper examples and data connectors to S3/GCS/Sheets, Spider Cloud simplifies data ingestion for knowledge bases.

  • Privacy-first healthcare app developer
    Pick: Stellon Labs

    Stellon Labs' on-device inference ensures no data leaves the device, meeting privacy requirements for sensitive health data.

Frequently Asked Questions

Stellon Labs vs Spider Cloud: which should you choose?

Spider Cloud and Stellon Labs serve completely different needs: one is a high-volume web scraping API optimized for AI data pipelines, the other is a research lab making ultra-compact models for offline edge inference. Buyers should choose based on whether they need real-time web data (Spider Cloud) or on-device AI (Stellon Labs). There is no overlap in use cases.

Can Spider Cloud run AI inference on edge devices?

No. Spider Cloud is a web crawling/scraping API; it does not provide model inference or deployment on edge hardware.

Can Stellon Labs crawl and scrape websites?

No. Stellon Labs creates compact AI models for edge devices; it has no web crawling capabilities.

Which tool is cheaper for a startup?

Spider Cloud has a freemium tier and usage-based pricing (~$0.03/1k pages). Stellon Labs requires custom pricing, likely higher for small teams.

Does Spider Cloud support real-time inference?

No. Spider Cloud returns scraped data via API, not real-time model inference. Its Browser AI commands are for web interaction, not AI inference.

Does Stellon Labs have data connectors?

No integrations are listed. Stellon Labs focuses on model export to TensorFlow Lite and ONNX, not data pipelines.

Can I use Spider Cloud with LangChain?

Yes. Spider Cloud integrates with LangChain, LlamaIndex, CrewAI, and other AI agent frameworks.

What is the latency of Stellon Labs' models?

Stellon Labs claims <10 ms inference on ARM CPUs.

Does Spider Cloud offer a self-hosted option?

Yes. Spider Cloud has an open-source core available on GitHub.

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Last reviewed: July 3, 2026