Council vs Spider Cloud

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

Analysis generated Live tool data as of 2026-11-13
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Council or Spider Cloud: which should you choose?

DimensionCouncilSpider Cloud
What it ismacOS app that asks a panel of LLMs the same questionScraping, crawling, and search API returning markdown/JSON
Pricing modelFree app; you pay your own LLM API keys or run local OllamaFreemium; Unlimited plan is flat-rate concurrency (AI Studio add-on for Browser AI commands)
PlatformNative macOS app, no web versionHTTP API, MCP, LangChain/LlamaIndex/CrewAI integrations
Core mechanismBlind peer review across 12 backends plus a 0–100 divergence scoreReal browser rendering, unblocker, rotating residential/ISP exits, AI extraction with schema
Who it's forAnalysts, researchers, and Mac users who already hold several LLM API keysEngineers piping live web pages into agents and RAG pipelines
Local/private optionOllama, llama.cpp, LM Studio, vLLM; decision journal stays local, no account or telemetryNot applicable — cloud API by design
Council
Council

Council runs a blind peer review between multiple AI models and scores how far apart their answers diverged.

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Spider Cloud
Spider Cloud

Web scraping, crawling and search API that returns clean markdown or JSON for RAG pipelines and AI agents.

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Pricing
Free
Paid
Plans
Free (MIT open source)Free
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
12 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebAPIPlugin
Categories
🔀 Multi-Model AI Chat📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
FeaturesCouncilSpider Cloud
Multi-model query — one prompt fanned out to three advisor seats in parallel
Twelve backends including Claude, GPT, Gemini, DeepSeek, Grok, Mistral, Perplexity and OpenRouter
Local model support via Ollama plus two custom OpenAI-compatible endpoints
On-device Apple Intelligence backend on macOS 26 Apple silicon
Blind peer review — advisors critique each other without knowing the author
Divergence score 0–100 with camps formed and outlier identification
Dissent view surfacing the outlier's full answer on its own
Optional bounded debate round — one rebuttal per advisor, originals kept underneath
Neutral chair model that moderates and writes the synthesis instead of answering
Selective deliberation — choose which answers enter peer review
Per-seat personas (Analyst, Practitioner, Skeptic) plus a Devil's Advocate role
Guest seat — paste an outside AI answer into blind review anonymously
Local decision journal with macOS reminder to log the outcome
Document attachment (.md/.txt) up to 20,000 chars plus image input for vision models
council CLI — pipe documents in, get JSON out, gate CI on divergence
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
Web search endpoint returns SERP results plus the pages behind them
Browser rendering executes scripts, loads lazy images, reaches infinite scroll
Stealth mode loads protected pages through a native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Rotating residential and ISP proxy pool across 199 countries with proxy rotation on every request
Provider router routes scrape and crawl requests to outside providers on your own keys
Prompt-based extraction returns named fields as JSON from scrape or crawl
Browser AI commands: Act, Extract and Observe modes over the browser WebSocket
extraction_schema parameter makes AI output conform to a JSON schema
Relevance gate skips pages not matching your prompt before they are billed
/ai/search searches the web and scrapes results in one call
/ai/unblocker combines AI extraction with the Unblocker in a single endpoint
CLI picks HTTP or a browser per page and stops at your budget
IntegrationsCouncilSpider Cloud
Ollama
OpenRouter
llama.cpp
LM Studio
vLLM
Apple Intelligence
LangChain
LlamaIndex
CrewAI
Agno
Dify
Flowise
Langflow
MCP
Claude Code
Codex
Cursor
Claude Desktop
Windsurf
Amazon S3
Google Cloud Storage

How do Council and Spider Cloud compare feature by feature?

The two products barely overlap in capability, which is the whole story. Spider Cloud's value is the rendering and retrieval layer: a scrape can return markdown, JSON, HTML, raw, or plain text, and return_format markdown strips nav, ads, and footers. Browser mode runs scripts, waits on lazy images, and follows infinite scroll to completion, while protected pages route through a real browser engine with geo checks. Crawls stream each page as one JSONL line the moment it finishes rather than buffering, and data_connectors pipes results into S3, GCS, Google Sheets, Azure Blob, or Supabase as pages land. AI extraction is two-phase — a fast model for most pages, a stronger model for complex layouts — with extraction_schema forcing output into your JSON schema. Newer additions include a provider router (Sept 2026) that can hand URLs to outside providers on your own keys, Browser AI commands (Act, Extract, Observe) over the WebSocket, and a catalog of 1,000+ ready-made scraper examples. Council's value is epistemic, not infrastructural: twelve backends answer independently, then critique each other blind, producing a 0–100 divergence score showing how many camps formed and who the outlier is. It adds a devil's advocate role, a neutral chair that writes the synthesis instead of answering, a guest seat for pasting outside answers, vision and .md/.txt attachment, and a local decision journal that later records how the call turned out. One is plumbing for web data; the other is a deliberation ritual for humans.

Which is cheaper, Council or Spider Cloud?

Spider Cloud is freemium with usage-based tiers, and its distinguishing pitch is flat-rate Unlimited concurrency versus metered per-request billing — attractive for high-throughput crawls where per-request pricing punishes volume. Caveats live in the plan detail, not the marketing: geo-targeting isn't available on the Unlimited plan yet, Unlimited queues nothing server-side so your app must handle HTTP 429 itself, and Browser AI commands require an AI Studio subscription on top. There's also a real cost of ownership in the follow-the-rules default — Spider follows robots.txt unless you disable it per request. Council inverts this: the app is free, and your spend is entirely your own LLM API keys or a local runtime. That makes it cheap if you already pay for Claude, GPT, Gemini, DeepSeek, Grok, Mistral, Perplexity, or OpenRouter, and free at the margin if you run Ollama or a self-hosted OpenAI-compatible endpoint — the privacy-conscious setup is also the zero-marginal-cost one. The honest comparison is that Spider Cloud's bill scales with pages crawled, while Council's scales with how often you ask the same question of several models. Neither replaces the other's line item.

Who should pick Council, and who should pick Spider Cloud?

  • RAG engineer whose agent needs current pages in markdown
    Pick: Spider Cloud

    Browser rendering, markdown stripping, streaming JSONL crawls, and extraction_schema are built for exactly this pipeline.

  • Developer wiring web access into Claude Code, Cursor, or Codex
    Pick: Spider Cloud

    MCP plus the listed client integrations put scraping, browser sessions, and proxies behind one API key.

  • Analyst cross-checking a high-stakes AI-generated claim
    Pick: Council

    Blind peer review, the 0–100 divergence score, and the dissent spotlight make disagreement visible instead of hidden.

  • Privacy-focused Mac user with local models
    Pick: Council

    Ollama and self-hosted endpoints work with no account or telemetry, and the decision journal stays local.

  • Ops team needing crawl output in cloud storage as pages land
    Pick: Spider Cloud

    data_connectors writes straight to S3, GCS, Azure Blob, Google Sheets, or Supabase during the crawl.

Frequently Asked Questions

Can Council replace Spider Cloud if I just paste pages in?

No. Council reviews text and images you hand it; it doesn't fetch the web. Spider Cloud does the fetching and rendering. Some teams use both in sequence — crawl with Spider, then paste the result into Council for review — but they are not substitutes.

Is Council really free?

The app is free. The models behind it usually aren't: twelve of the backends are commercial APIs you pay for directly, unless you route through Ollama, llama.cpp, LM Studio, or vLLM on your own hardware.

Does Spider Cloud force a specific LLM for extraction?

No. AI extraction runs two phases internally — a fast model for most pages and a stronger one for complex layouts — while extraction_schema constrains the output to your JSON schema regardless.

Which Spider Cloud plan should high-volume crawlers pick?

The flat-rate Unlimited concurrency plan, if per-request metering is what's hurting you. Check the exclusions first: no geo-targeting yet, no server-side queueing, and per-request robots.txt handling.

Can I run Council on Windows or Linux?

No. It's a native macOS app with no web version. If you're not on a Mac, this decision is already made for you.

Does a high divergence score mean one model is wrong?

No — it measures agreement, not correctness. A split council with a 90 divergence score can be four models being confidently wrong together or one model being right alone. That's a signal to investigate, not a verdict.

What else are Council and Spider Cloud compared with?

Where can you read more about Council and Spider Cloud?

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