Corpusos vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Corpusos | Spider Cloud |
|---|---|---|
| Pricing | Free (open-source MIT license) | Freemium (pay-per-usage from $0.03/1k pages; AI Studio $6/mo add-on) |
| Primary Function | Protocol & abstraction layer for LLM/vector/graph infra | Web scraping & crawling API for AI agents |
| Top Feature | 3,330+ conformance tests, provider-agnostic interface | Rust engine + Browser AI commands (Act/Extract/Observe) |
| Integrations | LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, MCP | LangChain, LlamaIndex, CrewAI, AutoGen, Flowise, Dify, data connectors (S3/GCS/Sheets/Azure Blob/Supabase) |
| Target User | Platform teams standardizing across providers | AI agents needing real-time web data for RAG |
| Latest News Impact | No recent product updates; news focuses on unrelated projects | Browser 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.

Open-source protocol suite for standardizing LLM, vector, graph, and embedding infrastructure.
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AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWho should pick which
- Solo founder building a RAG-powered chatbotPick: 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 providersPick: 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 agentsPick: 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 infrastructurePick: 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