Council vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
Council or Spider Cloud: which should you choose?
| Dimension | Council | Spider Cloud |
|---|---|---|
| What it is | macOS app that asks a panel of LLMs the same question | Scraping, crawling, and search API returning markdown/JSON |
| Pricing model | Free app; you pay your own LLM API keys or run local Ollama | Freemium; Unlimited plan is flat-rate concurrency (AI Studio add-on for Browser AI commands) |
| Platform | Native macOS app, no web version | HTTP API, MCP, LangChain/LlamaIndex/CrewAI integrations |
| Core mechanism | Blind peer review across 12 backends plus a 0–100 divergence score | Real browser rendering, unblocker, rotating residential/ISP exits, AI extraction with schema |
| Who it's for | Analysts, researchers, and Mac users who already hold several LLM API keys | Engineers piping live web pages into agents and RAG pipelines |
| Local/private option | Ollama, llama.cpp, LM Studio, vLLM; decision journal stays local, no account or telemetry | Not applicable — cloud API by design |

Council runs a blind peer review between multiple AI models and scores how far apart their answers diverged.
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Web scraping, crawling and search API that returns clean markdown or JSON for RAG pipelines and AI agents.
Visit WebsiteHow 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 markdownPick: 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 CodexPick: 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 claimPick: 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 modelsPick: 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 landPick: 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?
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Where can you read more about Council and Spider Cloud?
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Analysis generated by our model pipeline from live data: