Restai vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionRestaiSpider Cloud
PricingFree (open-source)Freemium, $6/mo AI Studio add-on
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.

Restai
Restai

Self-hosted open-source AIaaS with RAG, agents, MCP, and visual logic

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPIPlugin
WebAPICLI
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
RAG with natural-language-to-SQL and auto-sync from S3, Confluence, SharePoint, Google Drive
Zero-shot ReAct agents with MCP tool support (HTTP/SSE/stdio)
Visual Blockly-based logic builder (no LLM required)
App Builder for composing AI pipelines
OpenAI-compatible REST API (chat, images, audio transcription)
Web UI with analytics dashboard (tokens, cost, latency)
Prompt versioning with history comparison and restore
Evaluation framework with DeepEval metrics (relevancy, faithfulness, correctness)
Enterprise security: RBAC, OAuth/LDAP/OIDC, TOTP 2FA, audit logging
Rate limiting and per-project budget caps
White-label branding per team
Image generation via Stable Diffusion, Flux, DALL-E, RMBG2 (dynamic generators)
Audio transcription via OpenAI-compatible endpoints
Embeddable chat widget with real-time streaming (single script tag)
WordPress plugin for content generation, SEO meta, translation, comment moderation
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
Ollama
vLLM
OpenAI
Anthropic
Gemini
Groq
Grok
LiteLLM
Azure
AWS Bedrock
ChromaDB
PGVector
Weaviate
Pinecone
WordPress
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

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

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

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • Default rate limit of 10,000 requests per minute is generous.
  • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • No community feedback to confirm reliability or performance.
  • Self-reported metrics lack independent verification.
  • Stealth browser success may vary across real sites.
  • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

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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Last reviewed: July 3, 2026