Wanaku vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-30
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Wanaku or Spider Cloud: which should you choose?

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.

Wanaku
Wanaku

Open-source governed action proxy that runs MCP tool calls through Apache Camel routes, with policy and audit enforced before agents touch

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
Open SourceFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
11 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPIPlugin
Categories
🔌 MCP Servers & Agent Tooling🛡️ AI Governance & Guardrails
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Executes tool calls through Apache Camel routes rather than forwarding to backends
Intercepts tool calls, agent-to-agent messages and inference traffic
Enforces policy, identity, data controls and audit inside the proxy
Keeps backend credentials out of the agent's hands
Exposes 300+ Apache Camel components as MCP tools
SQL tool service template for querying relational databases over MCP
GitHub tools integration
Non-blocking MCP operations
Kubernetes operator for production deployment
Service templates for reusable integrations
Custom Wanaku Capabilities SDK in plain Java
MCP router
CLI and web UI for setup and management
Java/Quarkus (Wanaku Barn) and Rust-based (Wanaku Next, pre-release) runtimes
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
GitHub
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

Who should pick Wanaku, and who should pick Spider Cloud?

  • 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.

What else are Wanaku and Spider Cloud compared with?

Where can you read more about Wanaku and Spider Cloud?

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