Wanaku vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-14
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At a glance

DimensionWanakuSpider Cloud
Primary FunctionOpen-source MCP Router for AI agent integrationsWeb crawling/scraping API with AI extraction
Target UsersDevelopers building agentic apps, enterprise integration teamsAI/ML developers, RAG pipeline builders
Key IntegrationsApache Camel, MCP, Quarkus, 300+ Camel componentsLangChain, LlamaIndex, CrewAI, S3, GCS, Supabase
DeploymentSelf-hosted (open-source)Cloud API + open-source core (self-host)
Latest Newsv0.1.3 with GitHub tools, SQL tool template, non-blocking MCPBrowser AI commands (Act/Extract/Observe), scraper catalog

Spider Cloud and Wanaku serve fundamentally different purposes. Spider Cloud is a high-performance web scraping API for feeding real-time data into AI agents, while Wanaku is an MCP router for connecting AI agents to enterprise systems. Choose Spider Cloud if you need fast, cheap web data extraction; choose Wanaku if you need to securely integrate LLMs with internal tools and databases.

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Wanaku
Wanaku

Open-source governed action proxy that sits between AI agents and enterprise systems, enforcing policy, identity and audit before any agent touches a backend.

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Spider Cloud
Spider Cloud

Spider Cloud is an AI web scraping API that turns any site into markdown or JSON for agents and RAG.

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Pricing
Free
Freemium
Plans
—
$1/GB + $0.001/min CPU
from $6/mo
$40/mo
$350/mo
Popularity
9 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPI
Categories
🔌 MCP Servers & Agent Tooling🛡️ AI Governance & Guardrails
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Action proxy that executes tool calls through Apache Camel routes
Intercepts tool calls, agent-to-agent messages, and inference traffic
Policy enforcement in the proxy layer so agents cannot bypass it
Identity and access control for agent actions
Data controls and audit logging on backend operations
300+ Apache Camel components exposed as MCP tools
MCP (Model Context Protocol) tool exposure for agents
Service templates for reusable integrations
SQL tool service template for database queries
GitHub tools integration
Non-blocking MCP operations
Kubernetes operator for deployment
CLI and web UI for setup and management
Custom capabilities SDK in plain Java
Scalability from a few to thousands of endpoints
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with pages streaming back as JSONL, in order, as each finishes
Web search endpoint returns SERP results, scraped pages, and AI extraction in one call
Custom browser renders pages like a user: scripts run, lazy images load, infinite scroll completes
Unblocker handles bot walls, CAPTCHAs, and geo checks with automatic retries and rotating proxies
Browser Cloud runs full browser sessions with stealth and CAPTCHA solving on by default
AI commands (Act, Extract, Observe) sent directly over the Browser API WebSocket
AI Studio Alpha exposes natural-language extraction endpoints on your existing key
Two-phase AI extraction fallback: fast model for most pages, capable model for complex layouts
Proxy network with 215M+ residential and ISP exits across 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, Windsurf, and Claude Desktop
Agent skill file (SKILL.md) lets a coding agent self-onboard against the entire API
1,000+ ready-made scraper examples across 32 categories, each with working code
Provider router lets you fall back to outside providers on your own keys
10,000 core API requests per minute per account by default
Integrations
HTTP
Kafka
FTP
SQL databases
GitHub
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Julep
Claude Code
Codex
Cursor
Windsurf
Claude Desktop

Who should pick which

  • AI startup building a RAG pipeline
    Pick: Spider Cloud

    Spider Cloud provides fast web scraping with AI extraction, direct integrations with LangChain and LlamaIndex, and supports multiple output formats ideal for feeding context into LLMs.

  • Enterprise developer integrating LLM with internal databases
    Pick: Wanaku

    Wanaku's MCP router with access control and SQL tool template allows secure, scalable connections between AI agents and enterprise databases without custom glue code.

  • Solo developer needing cost-effective web scraping
    Pick: Spider Cloud

    Spider Cloud's pay-as-you-go pricing ($0.03/1k pages) and open-source core make it affordable and flexible for small-scale projects.

  • Team building multi-protocol agent integrations
    Pick: Wanaku

    Wanaku's pluggable architecture with Apache Camel supports HTTP, Kafka, FTP, and hundreds of components, ideal for connecting agents to diverse endpoints.

Frequently Asked Questions

Wanaku vs Spider Cloud: which should you choose?

Spider Cloud and Wanaku serve fundamentally different purposes. Spider Cloud is a high-performance web scraping API for feeding real-time data into AI agents, while Wanaku is an MCP router for connecting AI agents to enterprise systems. Choose Spider Cloud if you need fast, cheap web data extraction; choose Wanaku if you need to securely integrate LLMs with internal tools and databases.

Can Spider Cloud and Wanaku work together?

Yes. Spider Cloud can scrape external web data and feed it to an AI agent, which Wanaku can then use to orchestrate enterprise actions. They solve different layers of the AI data pipeline.

Which tool is better for non-technical users?

Neither is fully no-code, but Spider Cloud's AI Studio and scraper catalog lower the bar for scraping. Wanaku requires familiarity with Java/Camel and is designed for developers.

Does Wanaku offer a cloud version?

No, Wanaku is self-hosted open-source. There is no managed cloud offering.

Does Spider Cloud support real-time data streaming?

Yes, via Browser AI commands over WebSocket (Act/Extract/Observe), enabling real-time interaction with pages.

Can Wanaku handle authentication?

Yes, Wanaku enforces access control and auditing, making it suitable for secured enterprise environments.

What happens if a Spider Cloud request fails?

Failed requests are not billed, ensuring you only pay for successful extractions.

Is Spider Cloud open-source?

Yes, its core is available on GitHub for self-hosting, while the cloud API offers additional features like AI Studio and Browser AI.

What protocols does Wanaku support?

HTTP, Kafka, FTP, and via Apache Camel, 300+ additional components.

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Explore each tool further

Wanaku
View Wanaku reviewWanaku alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI MCP Servers & Agent Tooling toolsBest AI Web Scraping & Search APIs toolsBest AI AI Governance & Guardrails toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 5, 2026