Nubase vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionNubaseSpider Cloud
Primary FunctionFull-stack backend platform for AI coding agentsWeb crawling/scraping API for AI agents & RAG
Key FeatureDedicated PostgreSQL per project, Auth, Storage, AI Gateway, Memory layer, MCP integrationRust engine, Browser AI commands, AI extraction, 1,000+ scraper catalog
Best ForDevelopers using AI coding agents to build full-stack appsAI agents needing real-time web data for RAG
DeploymentSelf-hosted via Docker; no managed cloudCloud API with open-source core
Latest NewsMCP integration for Claude Code & Codex (2026-06)Browser AI commands, scraper catalog, data connectors (2026-02/03)

Choose Spider Cloud if your primary need is feeding AI agents with fresh, structured web data at scale—its Rust engine, AI extraction, and 1,000+ scrapers deliver fast, low-cost harvesting. Choose Nubase if you're an AI coding agent user building full-stack apps from chat; its self-hosted bundle of database, auth, storage, and memory with MCP integration lets you deploy instantly. They solve different problems—data ingestion vs. app backend—so pick based on whether you need to pull from the web or build entire apps.

Nubase
Nubase

Open-source, self-hosted backend that lets AI coding agents ship full-stack apps straight from chat

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Free
Freemium
Plans
$0/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
11 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIPlugin
WebAPIPluginCLIDesktop
Categories
⚙️ Developer Infrastructure🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Isolated PostgreSQL database per project with PostgREST-compatible REST API
Row-Level Security executed with JWT claims (anon, authenticated, service_role)
Supabase-compatible auth: email, OAuth, magic links, MFA/TOTP, OTP, anonymous
Drop-in compatibility with Supabase client SDKs
S3/R2-compatible object storage with public and private buckets
Signed URLs and RLS-aware storage ACLs
Frontend publishing to a public CDN at /assets/v1 with a live URL
Edge functions at /functions/v1 with per-function secrets and logs
verify_jwt enforcement on edge functions
Local or Cloudflare Workers runtime for edge functions
AI Gateway with OpenAI- and Anthropic-compatible endpoints
Per-project AI Gateway keys and usage tracking
Memory layer with vector + BM25 + entity boost fusion retrieval
mem0-compatible Memory REST API with audit history
Scheduled cron jobs invoking edge functions or database functions
Scrape a single page into markdown, JSON, HTML, raw text, 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 completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions 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 the 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
Requests stream back as they land, in order, without waiting for the last URL
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
OpenAI
Anthropic
PostgreSQL
pgvector
Cloudflare R2
Cloudflare Workers
AWS S3
MinIO
Docker
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • AI agent developer building RAG pipeline
    Pick: Spider Cloud

    Spider Cloud's web crawling API with Rust engine, AI extraction, and 1,000+ ready-made scrapers provides fresh, structured data directly usable for LLM context. Its data connectors pipe results into storage services, and integrations with LangChain/LlamaIndex streamline pipeline integration.

  • Indie hacker using AI coding agents to ship a full-stack app
    Pick: Nubase

    Nubase's self-hosted backend with database, auth, storage, and MCP integration lets you generate and deploy an app from chat with Claude Code or Codex. Free and open-source, it allows rapid prototyping without backend complexity.

  • Team needing high-volume scraping with stealth anti-detection
    Pick: Spider Cloud

    Spider Cloud's browser cloud with stealth anti-detection, rotating proxies, and automatic retries handles aggressive scraping. Its cost of $0.03/1k pages scales well for large volumes.

  • Developer wanting a managed, scalable backend without vendor lock-in
    Pick: Nubase

    Nubase's self-hosted, Docker-based deployment gives you full control. Its modules (database, auth, storage, functions, AI gateway, memory) are standardized and open-source, avoiding proprietary APIs.

  • Data scientist needing real-time web data for LLM training
    Pick: Spider Cloud

    Spider Cloud's search endpoint, link extraction, and multiple output formats (JSON, CSV, XML) simplify collecting large datasets. AI extraction and unblocker ensure reliable data retrieval.

Frequently Asked Questions

Nubase vs Spider Cloud: which should you choose?

Choose Spider Cloud if your primary need is feeding AI agents with fresh, structured web data at scale—its Rust engine, AI extraction, and 1,000+ scrapers deliver fast, low-cost harvesting. Choose Nubase if you're an AI coding agent user building full-stack apps from chat; its self-hosted bundle of database, auth, storage, and memory with MCP integration lets you deploy instantly. They solve different problems—data ingestion vs. app backend—so pick based on whether you need to pull from the web or build entire apps.

Can I use both Spider Cloud and Nubase together?

Yes, they complement each other: Spider Cloud for scraping web data to feed into a RAG pipeline, and Nubase as the backend hosting the app that uses that data. No direct integration exists, but you can pipe Spider Cloud outputs into Nubase's storage or database.

Which tool is better for non-technical users?

Spider Cloud is easier to start with as a cloud API—no deployment needed. Nubase requires setting up Docker and managing infrastructure, so it's better for developers.

Does Nubase offer a managed cloud version?

No, Nubase is self-hosted only (Docker image). There is no managed cloud offering from Nubase as of the latest news.

Does Spider Cloud support residential proxies?

Spider Cloud uses rotating proxies and automatic retries for unblocking, but it does not explicitly mention a dedicated residential proxy network. It's best for sites with moderate anti-bot measures.

Can Nubase be used without AI coding agents?

Yes, Nubase provides a full backend (database, auth, storage, functions, etc.) that can be used with any frontend. Its MCP integration is optional.

Are failed requests billed on Spider Cloud?

No, failed requests are not billed. Billing only applies to successful page responses.

Does Nubase support vector search for memory?

Yes, Nubase's durable memory layer combines vector + BM25 + entity boost fusion retrieval, enabling semantic and keyword search.

Can Spider Cloud crawl JavaScript-heavy sites?

Yes, Spider Cloud's Browser Cloud with stealth anti-detection and Browser AI commands can handle dynamic content by rendering pages in a browser-like environment.

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Last reviewed: June 30, 2026