Restai vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionRestaiSpider Cloud
HostingSelf-hostedCloud API
Best ForFull AI platform with RAG/agentsWeb data extraction for AI agents
IntegrationsOllama, vLLM, OpenAI, Anthropic, etc.LangChain, LlamaIndex, CrewAI, etc.
Key FeatureMulti-project, RBAC, white-label, BlocklyRust engine, 99.9% uptime, browser AI commands
Latest NewsNo recent newsBrowser AI commands (Act/Extract/Observe), scraper catalog

Spider Cloud is ideal if your priority is high-performance web data extraction (crawling, scraping, search) for AI agents and RAG pipelines, with a scalable pay-as-you-go cloud API. Restai is better if you need a full self-hosted AI platform with RAG, agents, visual builder, and enterprise features like RBAC and white-labeling, but you must manage your own infrastructure. Choose based on whether you need data retrieval or a comprehensive AI back-end.

Try RestaiTry Spider Cloud
Restai
Restai

Apache 2.0 self-hosted AI-as-a-Service platform: RAG, MCP agents, visual logic, app builder, and evals behind one REST API.

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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.

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Pricing
Free
Freemium
Plans
$0/mo
$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
WebAPIPlugin
WebAPIPluginCLIDesktop
Categories
📦 LLM App Frameworks & SDKs🕸️ Agent Frameworks & Orchestration🤖 Automation & Agents🗄️ Vector Databases & Retrieval🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Self-hosted AI-as-a-Service platform under Apache 2.0
Five project types: RAG, Agents, Block, App Builder, Inference
RAG with natural-language-to-SQL, ColBERT and LLM-based reranking
Scheduled knowledge auto-sync from web URLs, S3, Confluence, SharePoint, Google Drive
Zero-shot ReAct agents with MCP tool support over HTTP/SSE and stdio
Blockly visual logic IDE that runs without an LLM in the loop
App Builder with "Call Project" blocks for composing AI pipelines
OpenAI-compatible REST API for chat, images, and audio transcription
Analytics dashboard tracking tokens, cost, latency, and model fleet view
Evaluation framework with Answer Relevancy, Faithfulness, and Correctness
Automatic prompt versioning with history compare, restore, and eval A/B links
Image generation via Stable Diffusion, Flux, DALL-E, RMBG2 with NVIDIA GPU auto-detection
Multi-tenant teams with RBAC, OAuth/LDAP/OIDC SSO, TOTP 2FA
Input/output guardrails, audit logging, per-project rate limits, and budget caps
Embeddable chat widget with streaming responses and Shadow DOM isolation
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
Ollama
vLLM
OpenAI
Anthropic
Gemini
Groq
Grok
LiteLLM
Azure
AWS Bedrock
ChromaDB
PGVector
Weaviate
Pinecone
WordPress
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: Restai 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.

Restai

45 mentions across 3 sources · 20% positive — critical (averaged across 3 sources)

YouTube, GitHub, Lemmy

What users praise

  • • Free and open-source (Apache 2.0), with no vendor lock-in for self-hosters.
  • • Broad integration: 11+ LLM providers and 5 vector stores.
  • • Includes RAG, agents with MCP support, and a no-LLM visual logic builder.
  • • Built-in analytics for token usage, cost, and latency per project.

What frustrates them

  • • Security concerns: possible directory traversal and demo lockout issues.
  • • Unicode/PDF parsing bug breaks document handling for non-ASCII files.
  • • Missing LiteLLM integration limits access to some less-common LLMs.
  • • Sparse community buzz—hard to find detailed user reviews or tutorials.

Researched Aug 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

  • AI Agent Developer
    Pick: Spider Cloud

    Spider Cloud provides real-time web data with a Rust engine, AI extraction, and browser AI commands, perfect for grounding AI agents without self-hosting.

  • Enterprise Team
    Pick: Restai

    Restai offers RBAC, audit logging, OAuth, and white-labeling, plus multi-project support (RAG, agents, apps), ideal for an in-house AI platform.

  • RAG Pipeline Builder
    Pick: Spider Cloud

    Spider Cloud integrates with LangChain/LlamaIndex and provides structured data output, making it easy to feed fresh web content into RAG pipelines.

  • Solo Founder Building an AI App
    Pick: Restai

    Restai's visual Blockly builder and built-in Web UI let a solo founder quickly set up multiple AI projects without writing complex orchestration code, all free.

  • Data Engineer
    Pick: Spider Cloud

    Spider Cloud's high success rate, data connectors (S3, GCS, etc.), and cost per page ($0.03/1k) make it efficient for large-scale web scraping tasks.

Frequently Asked Questions

Restai vs Spider Cloud: which should you choose?

Spider Cloud is ideal if your priority is high-performance web data extraction (crawling, scraping, search) for AI agents and RAG pipelines, with a scalable pay-as-you-go cloud API. Restai is better if you need a full self-hosted AI platform with RAG, agents, visual builder, and enterprise features like RBAC and white-labeling, but you must manage your own infrastructure. Choose based on whether you need data retrieval or a comprehensive AI back-end.

Which tool is better for web scraping?

Spider Cloud is purpose-built for web scraping with a Rust engine, AI extraction, and a scraper catalog. Restai does not offer direct scraping; its agents can fetch web data indirectly but not as efficiently.

Can Restai scrape websites like Spider Cloud?

No, Restai does not have a built-in scraping API. It can use agents to call external APIs, but it is not optimized for raw web data extraction.

Which is more cost-effective at scale?

Spider Cloud charges $0.03 per 1,000 pages, which is very cheap for high volume. Restai is free software but you pay for hosting and LLM API costs; if you already have servers, Restai may be cheaper overall.

Does Restai have a cloud version?

No, Restai is self-hosted only. Spider Cloud offers a managed cloud API.

Can I use Spider Cloud for non-web data tasks?

Spider Cloud is specialized for web data. It is not designed for general AI tasks like building custom chatbots or managing LLM projects.

Does Restai support multi-user and access control?

Yes, Restai includes RBAC, OAuth/LDAP/OIDC, TOTP 2FA, and audit logging, making it suitable for enterprise teams.

Which tool has better LLM integration?

Restai integrates with 11+ LLM providers (Ollama, vLLM, OpenAI, etc.) and supports vector stores. Spider Cloud focuses on data extraction; LLM integration is via LangChain/LlamaIndex connectors.

What are the latest updates for each tool?

Spider Cloud recently added Browser AI commands (Act/Extract/Observe) and a scraper catalog. Restai has no recent news; it's a stable open-source release.

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Explore each tool further

Restai
View Restai reviewRestai alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI LLM App Frameworks & SDKs toolsBest AI Web Scraping & Search APIs toolsBest AI Agent Frameworks & Orchestration toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026