ViewComfy 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

DimensionViewComfySpider Cloud
Core PurposeAI image/video workflow deploymentWeb scraping & data extraction API
Ease of UseModerate (ComfyUI knowledge needed)Low (API + AI Studio for natural language)
PricingFreemium; compute costs based on GPU usageFreemium; $0.03/1k pages + AI Studio $6/mo add-on
Key FeatureServerless ComfyUI API with GPU autoscalingBrowser AI commands (Act, Extract, Observe)
IntegrationsComfyUI, Sora, Veo 3, Flux, GPT Image 1LangChain, LlamaIndex, CrewAI, Flowise
Target UserAI engineers, creative teams, enterprisesAI agents, RAG pipelines, developers

Choose ViewComfy if your priority is turning ComfyUI workflows into scalable, multi-user apps with flexible GPU options. Choose Spider Cloud if you need a fast, reliable web scraping API for AI agents or RAG pipelines. They solve different problems; the choice depends on whether you need to generate media or extract data.

ViewComfy
ViewComfy

Turn ComfyUI workflows into branded web apps and serverless APIs — no code.

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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
Freemium
Freemium
Plans
$0 + compute/mo
$30/mo ($24 + compute)
$200/mo ($160 + compute)
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPICLI
Categories
🖥️ GPU Cloud & Model Inference🚀 AI App & Website Builders
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
No-code app builder from ComfyUI workflows
Serverless API deployment with autoscaling
GPU selection: T4, L4, A10G, L40S, A100, A100-80GB, H100, H200, B200
Per-active-second GPU billing
Custom environments (SageAttention, specific Transformers)
Memory Snapshot reduces cold starts by 3-5x
Access to models: Sora, Veo 3, GPT Image 1, Wan 2.2, Flux Pro
Private model upload and sharing
Role-based shared workspaces
Usage analytics and tracking
Full audit trails
Zero data retention policies
Private / on-premises deployment (Enterprise)
White label for branded apps (Enterprise)
API Nodes support for Apps and APIs
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
ComfyUI
Sora
Veo 3
GPT Image 1
Flux Pro
Flux Kontext Max
Wan 2.2
Kling
Minimax Hailuo02
Seedance
Seedream
SD 3.5
Bria
Topaz
Sync Lipsync
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: ViewComfy 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.

ViewComfy

29 mentions across 3 sources · 63% positive — mixed

YouTube, Product Hunt, GitHub

What users praise

  • Great educational content for ComfyUI beginners, making it accessible.
  • No-code app builder from workflows saves engineering time.
  • Flexible GPU range (T4 to B200) suits varied workloads.
  • Custom environments support advanced dependencies like SageAttention.

What frustrates them

  • Docker setup lacks CMD, causing deployment confusion.
  • Clerk auth errors block playground access on new instances.
  • Apply Style Model bug loses uploaded images, disrupting workflows.
  • Limited community feedback makes reliability hard to assess.

Researched Aug 16, 2026

Spider Cloud

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • Default rate limit of 10,000 requests per minute is generous.
  • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • No community feedback to confirm reliability or performance.
  • Self-reported metrics lack independent verification.
  • Stealth browser success may vary across real sites.
  • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

Who should pick which

  • AI image/video engineer
    Pick: ViewComfy

    ViewComfy is built for deploying ComfyUI workflows as APIs or apps with flexible GPU support, ideal for generating media at scale.

  • LLM developer building a RAG pipeline
    Pick: Spider Cloud

    Spider Cloud's web crawling and scraping API provides up-to-date data for RAG, with structured output and AI extraction capabilities.

  • Creative team needing internal AI app
    Pick: ViewComfy

    ViewComfy's no-code app builder and role-based workspaces enable teams to build and share branded internal apps quickly.

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

    Spider Cloud's Browser AI commands (Act, Extract, Observe) allow agents to interact with web pages in real-time, perfect for autonomous tasks.

Frequently Asked Questions

ViewComfy vs Spider Cloud: which should you choose?

Choose ViewComfy if your priority is turning ComfyUI workflows into scalable, multi-user apps with flexible GPU options. Choose Spider Cloud if you need a fast, reliable web scraping API for AI agents or RAG pipelines. They solve different problems; the choice depends on whether you need to generate media or extract data.

Can ViewComfy be used for web scraping?

No, ViewComfy is designed for generating images/videos via ComfyUI workflows, not web scraping. Use Spider Cloud for data extraction.

Does Spider Cloud support image generation?

No, Spider Cloud focuses on web crawling and data extraction. It does not offer image or video generation capabilities.

Which is cheaper for small use cases?

Both have free tiers. For tiny projects, ViewComfy's free tier may suffice for low GPU usage; Spider Cloud's free credits cover a few thousand pages. Evaluate actual needs.

Can I integrate both tools?

Potentially, if your workflow requires scraping data to inform image generation. They serve different steps in a pipeline and can complement each other.

Which offers enterprise security features?

ViewComfy provides role-based access, audit trails, and zero data retention, making it suitable for enterprises. Spider Cloud offers less in that area; its focus is on data extraction.

Does Spider Cloud support custom AI models?

Spider Cloud uses its Silk custom AI model for extraction. ViewComfy allows custom environments with specific dependencies for its models.

Which has better integrations for LLMs?

Spider Cloud integrates directly with LangChain, LlamaIndex, and other LLM frameworks, making it easier to feed data into AI agents. ViewComfy's integrations are with media models and ComfyUI.

Can I self-host either tool?

ViewComfy is open-source and can be self-hosted. Spider Cloud has an open-source core on GitHub for self-hosting, but the cloud version offers additional features.

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Last reviewed: July 3, 2026