Corpusos 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

DimensionCorpusosSpider Cloud
Primary FunctionProtocol & abstraction layer for LLM/vector/graph infraWeb scraping & crawling API for AI agents
Top Feature3,330+ conformance tests, provider-agnostic interfaceRust engine + Browser AI commands (Act/Extract/Observe)
IntegrationsLangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, MCPLangChain, LlamaIndex, CrewAI, AutoGen, Flowise, Dify, data connectors (S3/GCS/Sheets/Azure Blob/Supabase)
Target UserPlatform teams standardizing across providersAI agents needing real-time web data for RAG

Spider Cloud wins for teams that need real-time web data for AI agents with a battle-tested scraping API, especially with new Browser AI commands. Corpusos is better if you're standardizing multi-provider LLM/vector infrastructure, but its lack of recent updates and non-product news makes it less actionable today. Choose Spider Cloud for data retrieval, Corpusos for infrastructure abstraction.

Corpusos
Corpusos

Open-source wire protocol suite that standardizes LLM, vector, graph, and embedding calls so you swap providers in config, not code

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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
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPI
WebAPIPluginCLIDesktop
Categories
📦 LLM App Frameworks & SDKs🗄️ Vector Databases & Retrieval🕸️ Agent Frameworks & Orchestration
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Standardized wire protocol across LLM, vector, graph, and embedding domains
Canonical wire envelope: op, ctx, args in and ok, code, result out
Shared provider adapters reused across frameworks and teams (PineconeCorpusAdapter, OpenAICorpusAdapter, OpenAIEmbedAdapter)
Framework adapter for LangChain (CorpusLangChainLLM, CorpusLangChainVectorStore)
Framework adapter for LlamaIndex (CorpusLlamaIndexLLM, CorpusLlamaIndexVectorStore)
Framework adapter for Semantic Kernel (CorpusSKChatCompletion, CorpusSKMemoryStore)
Framework adapter for CrewAI (CorpusCrewAILLM)
AutoGen and MCP framework adapters
Router for OpenAI-to-Anthropic routing via a single LLM op
3,000+ conformance tests covering golden wire samples, streaming rules, deadline enforcement, error mapping, and batching
Hop-by-hop deadline propagation across all operations
Normalized error taxonomy with retry guidance
Batch operations with explicit partial-failure contracts (no silent data loss)
Streaming state machine with one terminal event and no data after
Capability discovery for rate limits, cache hints, and model features
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
LangChain
LlamaIndex
CrewAI
AutoGen
Semantic Kernel
MCP
OpenAI
Anthropic
Gemini
Mistral
Pinecone
Weaviate
Qdrant
Chroma
Neo4j
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo founder building a RAG-powered chatbot
    Pick: Spider Cloud

    You need real-time web data; Spider Cloud's API with AI extraction and Browser AI commands gives you immediate, structured content for your LLM. Pricing is low at $0.03/1k pages.

  • AI platform team standardizing across LLM providers
    Pick: Corpusos

    Corpusos's protocol lets you switch between OpenAI, Anthropic, etc. without code changes, with 3,330+ conformance tests ensuring consistency. It's free and open-source.

  • Enterprise needing web scraping with high reliability (99.9% uptime)
    Pick: Spider Cloud

    Spider Cloud's Rust engine, rotating proxies, and unblocker endpoint deliver reliable scraping. Failed requests aren't billed, and data connectors integrate with cloud storage.

  • Open-source contributor building multi-framework agents
    Pick: Corpusos

    Corpusos's pluggable adapter architecture and MIT license welcome contributions. It's ideal for extending protocol support to new providers or frameworks.

  • Developer needing one-off scraping without infrastructure
    Pick: Spider Cloud

    Spider Cloud provides ready-made scraper catalog (1,000+ examples) and AI Studio for natural language crawling, lowering the barrier to entry.

Frequently Asked Questions

Corpusos vs Spider Cloud: which should you choose?

Spider Cloud wins for teams that need real-time web data for AI agents with a battle-tested scraping API, especially with new Browser AI commands. Corpusos is better if you're standardizing multi-provider LLM/vector infrastructure, but its lack of recent updates and non-product news makes it less actionable today. Choose Spider Cloud for data retrieval, Corpusos for infrastructure abstraction.

What is the main difference between Spider Cloud and Corpusos?

Spider Cloud is a web scraping API for extracting data from websites, while Corpusos is a protocol for standardizing interactions with LLMs, vector stores, and other AI infrastructure.

Can I use Spider Cloud for free?

Spider Cloud has a freemium plan, but specifics of free tier are not detailed. Usage costs average $0.03 per 1,000 pages.

Is Corpusos free? Does it have a cloud service?

Corpusos is fully free and open-source under MIT license. It does not offer a cloud service; you run it yourself.

Which tool is better for RAG pipelines?

Spider Cloud directly provides web data for RAG storage. Corpusos abstracts the LLM/vector store layer but doesn't fetch data.

Does Spider Cloud support data connectors to cloud storage?

Yes, Spider Cloud can pipe crawl results to S3, GCS, Google Sheets, Azure Blob, and Supabase.

Does Corpusos support LangChain and LlamaIndex?

Yes, Corpusos integrates with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP.

Is Spider Cloud suitable for scraping sites with anti-bot measures?

Spider Cloud has an unblocker with rotating proxies and automatic retries, and an /ai/unblocker endpoint, but it may not handle aggressive anti-bot measures as well as dedicated proxy networks.

Can I extend Corpusos with new providers?

Yes, Corpusos has a pluggable adapter architecture, and community contributions are welcome.

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Last reviewed: July 3, 2026