Dedalus Labs vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-09
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionDedalus LabsSpider Cloud
Primary Use CaseStateful, persistent Linux VMs for AI agents (code execution, browser automation)Web scraping/crawling API for AI agents and RAG pipelines
Compute ModelFull VM with root access, persistent filesystem, GPU support—
Data Extraction—Structured output (Markdown, JSON, CSV, etc.), AI extraction, captcha solving
Key Feature<250ms boot via snapshot restore; never cold start; per-second billing—
Key Feature—Rust engine; Browser AI commands (Act, Extract, Observe); 1000+ scraper examples

For AI agents that need persistent, stateful compute with zero cold start, choose Dedalus Labs. For agents that need fast, reliable web data extraction, choose Spider Cloud. Both have free tiers and complement each other.

Dedalus Labs
Dedalus Labs

Dedalus Labs rents full Linux VMs for AI agents that boot in under 50ms with per-second active-compute billing.

Visit Website
Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and search API that returns live pages as markdown or JSON for agents and RAG pipelines.

Visit Website
Pricing
Freemium
Freemium
Plans
$0/mo
$20/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIAPIWeb
WebAPIPluginCLIDesktop
Categories
🧠 Agent Memory & Runtimes⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Full Linux VM boot in under 50ms
Filesystem and runtime memory persist across sessions
Zero idle charges — billed only for active compute
Per-second compute billing: $0.04536/vCPU and $0.01458/GiB
Storage billed at $0.0001/GiB-hour from provisioned snapshots
Hardware and kernel-level VM isolation for untrusted code
Root access inside every sandbox — apt, pip, npm, cargo
Stronger boundaries than Docker containers or V8 isolates
GPU and CUDA support
Up to 16 vCPU and 64 GiB RAM per machine on Pro
Live VM migration between hosts
SSH, CLI and HTTP API access
One-line install via curl shell script
External URL support for hosting MCP servers
Multi-tenant auth via Dedalus Auth
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 the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Unblocker loads protected pages through a real browser engine, geo checks included, returning a 200
Browser Cloud runs full sessions with anti-detection and rotating residential/ISP 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
extraction_schema parameter makes AI output conform to a JSON schema on every extraction model
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
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Dedalus Labs 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.

Dedalus Labs

8 mentions across 3 sources · 70% positive (averaged across 3 sources)

Hacker News, Bluesky, Lemmy

What users praise

  • • Sub-250ms boot times via snapshot restore for instant agent startup.
  • • Zero-cost idle — no charges when machine is asleep.
  • • Per-second billing for active compute only saves money on bursty workloads.
  • • Full root access and hardware isolation for complete system control.

What frustrates them

  • • Very few independent user reviews — early adopters risk unknown issues.
  • • Stateless runner design limits complex stateful agent workflows.
  • • Authentication features still work in progress, not production-ready.
  • • No published uptime guarantees, SLAs, or enterprise compliance info.

Researched Jul 6, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 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

  • AI Agent Developer
    Pick: Dedalus Labs

    Dedalus provides fast, persistent VMs that boot in <250ms, ideal for agents that need stateful code execution and browser automation without cold starts.

  • RAG Pipeline Builder
    Pick: Spider Cloud

    Spider Cloud's crawling API supplies real-time web data as structured markdown/JSON, integrating easily with LangChain and LlamaIndex for RAG.

  • Machine Learning Engineer
    Pick: Dedalus Labs

    Dedalus supports GPU/CUDA on ephemeral VMs with per-second billing, perfect for training or inference in agentic workflows.

  • Web Scraper at Scale
    Pick: Spider Cloud

    Spider Cloud's Rust engine is fast and cheap ($0.03/1000 pages), with 1000+ examples and data connectors for pipelines.

  • Solo Founder Building an AI Agent
    Pick: Dedalus Labs

    Free tier with $5.39 credit and zero-cost idle lets a founder iterate without upfront cost, while Spider Cloud can be added for web data.

Frequently Asked Questions

Dedalus Labs vs Spider Cloud: which should you choose?

For AI agents that need persistent, stateful compute with zero cold start, choose Dedalus Labs. For agents that need fast, reliable web data extraction, choose Spider Cloud. Both have free tiers and complement each other.

Can I use Dedalus Labs for web scraping?

Yes, Dedalus provides full Linux VMs where you can install any scraping library, but Spider Cloud is purpose-built for crawling at scale.

Does Spider Cloud offer persistent state like Dedalus?

No, Spider Cloud is a stateless API; on the other hand, Dedalus provides persistent filesystem and memory across sessions.

Which tool is better for AI agents that need to run code?

Dedalus Labs, because it gives a full Linux environment with root access, GPU support, and persistent storage.

Which tool is cheaper for large-scale web data extraction?

Spider Cloud, at $0.03/1000 pages and a free tier, is very cost-effective for high-volume crawling.

Do both tools integrate with LangChain?

Spider Cloud has official LangChain integration; Dedalus Labs can be used via its API or SSH.

Is Dedalus Labs open-source?

No, but Spider Cloud has an open-source core on GitHub.

Can Dedalus Labs handle GPU workloads?

Yes, Dedalus supports GPU and CUDA for ML workloads.

Does Spider Cloud have anti-bot measures?

Yes, it includes Browser Cloud with stealth anti-detection and an unblocker with rotating proxies.

More Dedalus Labs or Spider Cloud comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

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

Last reviewed: July 3, 2026