ViewComfy vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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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)
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

Deploy ComfyUI workflows as no-code apps or autoscaling serverless APIs, billed per active GPU second.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo + compute
$30/mo ($24/mo billed yearly) + compute
$200/mo ($160/mo billed yearly) + compute
Custom
Developer Seat $30/seat/mo; Playground Seat $10/seat/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
25 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
🖥️ GPU Cloud & Model Inference🚀 AI App & Website Builders
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
No-code app builder that wraps a ComfyUI workflow in a branded web UI
Deploy any Comfy workflow as a serverless API with configurable autoscaling
Shared app hub for publishing and one-click sharing with team or clients
Developer Seats (full platform) and Playground Seats (apps + history only) with roles and permissions
GPU selection from T4 16GB to B200 180GB, billed per active GPU second
Compute pricing from $0.65/hour (T4) to $13.32/hour (B200)
Custom Comfy environments tuned with SageAttention and specific Transformer versions
Memory Snapshot reduces ComfyUI cold starts by 3-5x
Install public node packs from Comfy Manager or add your own private nodes
Managed API nodes for closed-source models inside apps and APIs (Team and above)
Sora, Veo 3, GPT Image 1, Flux Pro, Flux Kontext Max, Kling, Seedance, Recraft, Bria, Topaz and Sync Lipsync on the
Private model uploads with workspace-level access control
Built-in per-app analytics tracking workflow activity and adoption
Full audit trails tracing inputs and outputs for every generation
Optional zero data retention policies in isolated environments
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Sora
Veo 3
GPT Image 1
Flux Pro
Flux Kontext Max
Nano Banana
Kling
Minimax Hailuo02
Seedance
Seedream
SD 3.5
Wan
Bria
Topaz
Sync Lipsync
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

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 (averaged across 3 sources)

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

No verifiable community signal. We scanned public discussion on Oct 14, 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 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.

More ViewComfy or Spider Cloud comparisons

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Last reviewed: July 3, 2026