OnnxStream 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

DimensionOnnxStreamSpider Cloud
Primary Use CaseRunning large ONNX models (LLMs, Stable Diffusion) on low-RAM devices (Raspberry Pi)Web crawling, scraping, search, browser automation for AI agents and RAG
Key FeatureStreaming model loading: run SDXL in 298MB RAM or Mistral 7B on Raspberry Pi Zero 2100K+ URLs per request, Silk AI extraction, Browser AI commands (Act/Extract/Observe)
DeploymentOn-device (edge, browser via WASM, embedded)Cloud API and self-hosted open-source option
Output FormatsONNX model inference output (text, images, etc.)Markdown, HTML, JSON, JSONL, CSV, XML, plain text, screenshots
Best ForHobbyists and engineers running AI on constrained hardwareDevelopers needing real-time web data for LLM applications

If you need to feed your AI agent fresh web data at scale, Spider Cloud is the clear pick—it’s built for that. If you want to run Mistral 7B on a Raspberry Pi or keep inference entirely on-device, OnnxStream is uniquely suited. They serve completely different problems; choose based on whether your bottleneck is data acquisition or hardware constraints.

Try OnnxStreamTry Spider Cloud
OnnxStream
OnnxStream

Streaming ONNX inference for RAM-constrained edge devices, Raspberry Pi to WASM.

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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
Free
Freemium
Plans
$0
$1/GB + $0.001/min CPU
from $6/mo
$40/mo
$350/mo
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebPlugin
WebAPI
Categories
💾 Local & On-Device AI
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Streaming model loading for ultra-low memory footprint
Runs Stable Diffusion XL 1.0 in 298MB RAM
Runs Mistral 7B on Raspberry Pi Zero 2
ARM, x86, WASM, and RISC-V support
XNNPACK acceleration for CPU inference
Python bindings
C# bindings
JavaScript/WASM bindings for browser inference
ONNX format support via text-based operation graphs
Minimal dependencies (C++17, optionally XNNPACK)
Compatible with sherpa-onnx Whisper models
WASM demo: Whisper runs fully in browser without backend
Text-based model representation (onnx2txt converter)
Designed for embedded and edge devices
Cross-platform: Linux, Windows, macOS, web, embedded
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
XNNPACK
sherpa-onnx
onnx2txt
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Julep
Claude Code
Codex
Cursor
Windsurf
Claude Desktop

What real users say: OnnxStream vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

OnnxStream

29 mentions across 3 sources · 58% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, GitHub

What users praise

  • • Runs SDXL in just 298MB RAM – unmatched memory efficiency.
  • • Streaming model execution avoids loading full graph into memory.
  • • Supports ARM, x86, WASM, and RISC-V architectures.
  • • Python, C#, and JavaScript/WASM bindings enable diverse deployment.

What frustrates them

  • • Compilation errors on Raspberry Pi 5 and other newer hardware.
  • • Converting custom models to ONNX is poorly documented and tricky.
  • • No built-in logging – users must implement their own.
  • • CPU-only inference is extremely slow for real-time use.

Researched Jul 30, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Sep 8, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • AI Agent Developer
    Pick: Spider Cloud

    Spider Cloud's six API endpoints, Browser AI commands, and Silk extraction model are purpose-built for agents that need to scrape, search, and interact with websites in real time. OnnxStream doesn't address web data needs.

  • Edge AI Hobbyist
    Pick: OnnxStream

    If you want to run Stable Diffusion or Mistral on a Raspberry Pi Zero 2, OnnxStream's streaming model loading is the only viable option. Spider Cloud requires internet and a cloud API.

  • RAG Pipeline Builder
    Pick: Spider Cloud

    Spider Cloud's search endpoint and live web search integration (March 2026 news) directly feed current data into RAG pipelines, reducing pipeline time from hours to minutes as shown in its case study.

  • Privacy-Focused User
    Pick: OnnxStream

    OnnxStream's WASM bindings let Whisper or other models run entirely in-browser with no server, ensuring data never leaves the device. Spider Cloud sends requests to its cloud API.

  • High-Volume Scraper
    Pick: Spider Cloud

    Spider Cloud's ability to crawl 100K+ URLs per request and its flat-rate Unlimited plan (July 2026) make it cost-effective for massive scraping operations. OnnxStream cannot scrape the web.

Frequently Asked Questions

OnnxStream vs Spider Cloud: which should you choose?

If you need to feed your AI agent fresh web data at scale, Spider Cloud is the clear pick—it’s built for that. If you want to run Mistral 7B on a Raspberry Pi or keep inference entirely on-device, OnnxStream is uniquely suited. They serve completely different problems; choose based on whether your bottleneck is data acquisition or hardware constraints.

Can OnnxStream run on a GPU?

OnnxStream is CPU-focused with XNNPACK acceleration; it does not mention GPU support in the provided data. For GPU inference, other frameworks like TensorRT or ONNX Runtime are more appropriate.

Does Spider Cloud support PDF scraping?

The provided data lists output formats (markdown, HTML, JSON, etc.) but does not explicitly mention PDF. It may convert PDFs via its scrape endpoint, but this is not confirmed.

What is the latency of Spider Cloud's API?

The data does not specify latency. The service claims 99.9% success rate, but response times depend on target site speed and request complexity.

Can OnnxStream run on a smartphone?

OnnxStream supports ARM architecture, so it could theoretically run on mobile devices, but the data does not provide specific smartphone benchmarks or integration details.

Does Spider Cloud offer a free tier?

Spider Cloud is freemium, but the data does not detail exactly how many free credits or pages are included. It mentions a pay-as-you-go model starting at $0.03/1K pages.

Is OnnxStream compatible with PyTorch models?

OnnxStream uses ONNX format. PyTorch models can be exported to ONNX, so they are compatible after conversion. The project includes an onnx2txt converter for text-based representation.

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Explore each tool further

OnnxStream
View OnnxStream reviewOnnxStream alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Local & On-Device AI toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 30, 2026