LLMStack 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

DimensionLLMStackSpider Cloud
PricingFreemium (managed cloud) + open-source self-hostingPay-as-you-go from $1/GB bandwidth; AI Studio $6/mo add-on
Core CapabilityNo-code multi-agent AI builder, RAG pipeline, avatar chatbotWeb crawling/scraping API, AI extraction, Browser commands
Data SourcesWeb URLs, PDFs, audio, PPTs, Google Drive, Notion, etc.Web pages, search queries, live browser sessions
IntegrationsOpenAI, Cohere, Stability AI, Hugging Face, HeyGen, Google GeminiLangChain, LlamaIndex, CrewAI, FlowiseAI, S3, GCS, Supabase
Open SourceYes (self-host available)Yes (self-host available)
Best ForBusiness users building no-code AI agents with custom dataDevelopers needing fast web data for AI agents and RAG

If you need to build a no-code AI agent that works with your own documents, spreadsheets, and videos, LLMStack is the clear pick—it has ready-made RAG pipelines and avatar support. But if your AI agent needs live web data (crawling, scraping, search) to power retrieval or actions, Spider Cloud's Rust-based API with AI extraction is cheaper and faster. They actually complement each other: use LLMStack to orchestrate and Spider Cloud to feed it fresh web content.

Try LLMStackTry Spider Cloud
LLMStack
LLMStack

Build AI agents and no-code apps with your data

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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
Freemium
Freemium
Plans
$0/mo
$15/mo
$49/mo
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPI
WebAPICLI
Categories
🤖 Automation & Agents💬 Chatbot Builders📦 LLM App Frameworks & SDKs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
No-code drag-and-drop interface
Model chaining across providers (OpenAI, Cohere, Stability AI, Hugging Face)
Data import from Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, Notion
Built-in RAG pipeline for retrieval-augmented generation
Granular permission model with viewer and collaborator roles
Public or private app sharing
Real-time collaborative editing
Open-source self-hosting
Managed cloud offering via Promptly
Supports multiple data sources for RAG
Community support via Discord
Documentation and blog resources
Voice conversation support (via integrations like HeyGen)
Vision/image understanding (through model providers)
API access for developers
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
OpenAI
Cohere
Stability AI
Hugging Face
Google Drive
Notion
HeyGen
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: LLMStack 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.

LLMStack

34 mentions across 3 sources · 43% positive — mixed

YouTube, Bluesky, GitHub

What users praise

  • • No-code multi-agent framework lowers barrier for AI app building.
  • • Supports chaining multiple models from various providers.
  • • Built-in RAG pipeline with data from web, PDFs, Google Drive.
  • • Open-source self-hosting gives full data control.

What frustrates them

  • • Fails to start on fresh install due to database migration bugs.
  • • Users report numerous bugs in chat and agent functionality.
  • • No native support for local models from Hugging Face.
  • • Postgres connectivity issues plague initial setup.

Researched Jul 14, 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

  • Solo founder building a customer support chatbot
    Pick: LLMStack

    You need to chain models with RAG on your own docs (PDFs, Notion). LLMStack’s no-code builder lets you prototype and share instantly without coding.

  • AI agent developer needing live web context for LLM
    Pick: Spider Cloud

    Spider Cloud's API returns clean markdown/JSON from any URL, perfect for RAG pipelines. The pay-as-you-go model keeps costs low for variable crawling needs.

  • Team building an internal knowledge base Q&A
    Pick: LLMStack

    LLMStack ingests Google Drive and Notion, supports collaborative editing, and gives granular permissions—ideal for team knowledge apps.

  • Developer integrating web search into an agent
    Pick: Spider Cloud

    Spider's search endpoint and AI extraction (with Silk model) provide structured data for LLM consumption. Its LangChain integration makes setup quick.

Frequently Asked Questions

LLMStack vs Spider Cloud: which should you choose?

If you need to build a no-code AI agent that works with your own documents, spreadsheets, and videos, LLMStack is the clear pick—it has ready-made RAG pipelines and avatar support. But if your AI agent needs live web data (crawling, scraping, search) to power retrieval or actions, Spider Cloud's Rust-based API with AI extraction is cheaper and faster. They actually complement each other: use LLMStack to orchestrate and Spider Cloud to feed it fresh web content.

Can I use both tools together?

Yes. Spider Cloud provides fresh web data for the RAG pipeline in LLMStack, so you can build an agent that queries both your internal docs and live web pages.

Does LLMStack support voice or video?

Yes, via the HeyGen realtime avatar integration (added in Jan 2024). You can build a video chatbot that speaks with an avatar.

Can Spider Cloud handle login-required pages?

It has an Unblocker with rotating proxies and automatic retries, but for very aggressive anti-bot measures, success may vary. The Browser API can handle dynamic content.

Which tool is better for non-technical users?

LLMStack: drag-and-drop interface, no code needed. Spider Cloud is an API—you'll need to integrate it with code or a platform like LangChain.

Are both tools open source?

Yes, both offer open-source self-hosting options. LLMStack's core is open-source; Spider Cloud also provides a self-host version.

What data formats does Spider Cloud output?

Markdown, HTML, JSON, CSV, XML, and plain text. You can also capture screenshots and extract links.

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Explore each tool further

LLMStack
View LLMStack reviewLLMStack alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Automation & Agents toolsBest AI Web Scraping & Search APIs toolsBest AI Chatbot Builders toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 14, 2026