Containarium vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-19
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionContainariumSpider Cloud
Primary Use CaseAgent runtime with isolated Linux boxes for coding agentsWeb crawling and scraping API for AI agents
Best ForDevelopers needing SSH-native isolation for agentsTeams needing fast web data for RAG pipelines
Key FeatureSSH-native isolation, eBPF egress policy, GPU passthroughBrowser AI commands (Act, Extract, Observe), 1000+ scrapers
Open SourceYes (Apache 2.0)Yes (core on GitHub)
Latest News ImpactNo recent newsBrowser AI commands and scraper catalog now available

Choose Containarium if you need to run coding agents (like Claude Code) in isolated, SSH-accessible Linux environments with GPU support. Choose Spider Cloud if your priority is fast, cheap web scraping for AI agents and RAG pipelines. They serve fundamentally different needs, so pick based on whether you need an agent runtime or web data extraction.

Try ContainariumTry Spider Cloud
Containarium
Containarium

Open-source agent runtime giving each AI agent a persistent, network-isolated Linux box on Kubernetes or LXC, reachable over SSH with a built-in MCP server.

Visit Website
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.

Visit Website
Pricing
Freemium
Freemium
Plans
$0
$0/mo
Usage-based
Contact sales
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIWeb
WebAPIPluginCLIDesktop
Categories
🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Persistent, network-isolated Linux box per AI agent
SSH-native isolation with a routable hostname and TLS
eBPF egress policy sandboxing host, control plane, and other tenants
Runs boxes as LXC containers or Kubernetes pods
Built-in MCP server exposing shell and file operations over stdio
Drive Claude Code, Cursor, Cline, OpenCode, or your own agent over MCP
One-command box creation with contarium create
Sentinel using sshpiper, Caddy, and PROXY protocol for routing and TLS
Ephemeral CI box per GitHub Actions job with warm caches across runs
keep-on-failure holds a failed box alive for an hour of live SSH debugging
footprintai/containarium-run@v1 GitHub Action
Three-field .github/containarium.yml for image, setup, and test
Drop custom MCP servers beside the built-in one
No kube-apiserver token exposed to agent boxes
Local web UI for managing and listing boxes
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
Claude Code
Cursor
Cline
OpenCode
GitHub Actions
Kubernetes
LXC
SSH
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Codex
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Containarium vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Containarium

14 mentions across 1 sources · 60% positive — mixed (averaged across 1 source)

Hacker News

What users praise

  • • SSH-native isolation prevents API token leaks to agents.
  • • eBPF egress policy enforces fine-grained network sandboxing.
  • • Quick provisioning — seconds per environment on LXC.
  • • MCP-native CLI integrates easily with Claude Code and Cursor.

What frustrates them

  • • Very early-stage with limited community and documentation.
  • • Competes with mature tools like Incus and Proxmox.
  • • Security model depends on runtime, raising doubts.
  • • Scalability beyond 100 containers per VM unproven.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Solo developer running Claude Code for a long project
    Pick: Containarium

    Containarium provides a persistent, isolated Linux box with SSH access, ideal for long-running coding agents.

  • AI team building a RAG pipeline that needs web data
    Pick: Spider Cloud

    Spider Cloud's fast scraping API with structured output and RAG integrations (LangChain, LlamaIndex) is perfect for feeding up-to-date web data into LLMs.

  • DevOps engineer needing secure CI environments with debugging
    Pick: Containarium

    Containarium's keep-alive on CI failure and SSH debugging make it ideal for investigating CI issues without leaking credentials.

  • Developer needing to extract data from 1000+ websites with minimal coding
    Pick: Spider Cloud

    Spider Cloud's 1,000+ ready-made scraper examples and Browser AI commands allow quick setup for large-scale crawling.

  • Security-conscious enterprise running multi-tenant agent workloads
    Pick: Containarium

    Containarium's eBPF egress policy and SSH-native isolation ensure strong tenant separation without API token leaks.

Frequently Asked Questions

Containarium vs Spider Cloud: which should you choose?

Choose Containarium if you need to run coding agents (like Claude Code) in isolated, SSH-accessible Linux environments with GPU support. Choose Spider Cloud if your priority is fast, cheap web scraping for AI agents and RAG pipelines. They serve fundamentally different needs, so pick based on whether you need an agent runtime or web data extraction.

Can Containarium run non-Linux agents?

No, Containarium is Linux-only (LXC or Kubernetes containers).

Does Spider Cloud offer an open-source version?

Yes, the core is open-source on GitHub.

Can I use Containarium without Kubernetes?

Yes, it supports LXC as well as Kubernetes.

What's new with Spider Cloud's Browser AI commands?

As of March 2026, you can send Act (click, type, navigate), Extract (pull structured data), and Observe (describe screen) via WebSocket.

Is Containarium truly free?

Yes, it's Apache 2.0 and self-hosted; no paid tiers are announced.

Does Spider Cloud charge for failed requests?

No, failed requests are not billed.

Can Containarium handle GPUs?

Yes, it supports GPU passthrough for agent boxes.

What integrations does Spider Cloud have?

LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, Google Cloud Storage, Amazon S3, Supabase.

More Containarium or Spider Cloud comparisons

Vercel vs Spider Cloud comparison

These aren't competitors, so there's no either/or decision here — most teams building agent products end up using both. If your problem is shipping and operating a web app or agent backend, Vercel is

Power BI vs Spider Cloud comparison

These are not competitors. Power BI is a governed BI layer for Microsoft-centric organizations; Spider Cloud is HTTP plumbing that returns rendered web pages to agents and retrieval pipelines. If you

LM Studio vs Spider Cloud comparison

These are not competitors — they are two halves of a stack, and nobody should be choosing one over the other. Pick LM Studio if your problem is where inference runs: you want open models and the Bioni

Amplitude vs Spider Cloud comparison

These are not competitors — don't frame this as a pick-one decision. Spider Cloud is infrastructure you buy to get live web pages into an agent or retrieval pipeline; Amplitude is the analytics layer

Tableau vs Spider Cloud comparison

These aren't competitors — pick based on the problem, not the price. If you need dashboards, governed self-service exploration, and agentic analytics on top of data you already store, Tableau is the b

Looker vs Spider Cloud comparison

These tools are not competitors — they solve different problems for different buyers. Spider Cloud is a developer API for pulling live web data into agents and RAG pipelines, with a freemium entry poi

Explore each tool further

Containarium
View Containarium reviewContainarium alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Agent Memory & Runtimes toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 3, 2026