LLMStack 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

DimensionLLMStackSpider Cloud
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

LLMStack is an open-source no-code RAG chatbot and AI agent builder you can self-host.

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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
Freemium
Freemium
Plans
$0/mo
$15/mo
$49/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
3 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
🤖 Automation & Agents💬 Chatbot Builders📦 LLM App Frameworks & SDKs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
No-code drag-and-drop builder for AI agents, workflows, and chat apps
Model chaining across OpenAI, Cohere, Stability AI, and Hugging Face
Built-in RAG pipeline to ground chatbot answers in your own documents
Import content from web URLs and sitemaps
Import PDF and audio files as data sources
Import PowerPoint decks into the retrieval pipeline
Google Drive and Notion data source imports
Google Gemini Pro model support
Anthropic Claude-2 with 100K context window support
HeyGen Realtime Avatars for realtime video answers from documents
Granular permissions with viewer and collaborator roles
Share apps publicly or restrict to specific individuals
Real-time collaborative editing for multiple builders
Self-host the open-source edition on your own infrastructure
Managed cloud offering for teams that don't want to run infra
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
OpenAI
Cohere
Stability AI
Hugging Face
Google Gemini Pro
Anthropic Claude
Google Drive
Notion
HeyGen
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: 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 (averaged across 3 sources)

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

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

  • 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