Corpusos 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

DimensionCorpusosSpider Cloud
PricingFree (open-source MIT license)Freemium (pay-per-usage from $0.03/1k pages; AI Studio $6/mo add-on)
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
Latest News ImpactNo recent product updates; news focuses on unrelated projectsBrowser AI commands & AI Studio add-on ($6/mo) expand automation

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 protocol suite for standardizing LLM, vector, graph, and embedding infrastructure.

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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
Free
Freemium
Plans
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPI
WebAPICLI
Categories
📦 LLM App Frameworks & SDKs🗄️ Vector Databases & Retrieval🕸️ Agent Frameworks & Orchestration
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Standardized wire protocol for LLM operations
Standardized wire protocol for vector operations
Standardized wire protocol for graph operations
Standardized wire protocol for embedding operations
Framework-agnostic adapters for LangChain
Framework-agnostic adapters for LlamaIndex
Framework-agnostic adapters for AutoGen
Framework-agnostic adapters for CrewAI
Framework-agnostic adapters for Semantic Kernel
Framework-agnostic adapters for MCP
Provider-agnostic single interface for OpenAI
Provider-agnostic single interface for Anthropic
Provider-agnostic single interface for Pinecone
Provider-agnostic single interface for Weaviate
Provider-agnostic single interface for Neo4j
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
LangChain
LlamaIndex
AutoGen
CrewAI
Semantic Kernel
MCP
Pinecone
Weaviate
Qdrant
Chroma
Neo4j
Dgraph
TigerGraph
ArangoDB
Cohere
FlowiseAI
Agno

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