Private Gpt 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

DimensionPrivate GptSpider Cloud
Deployment100% on-premise, air-gap capableCloud API with open-source fallback
Core FeaturePrivate document Q&A with RAGWeb crawling/scraping for AI agents
AI IntegrationMulti-model LLM support (open & commercial)Browser AI commands (Act, Extract, Observe)
Data PrivacyData never leaves local networkCloud-based; data sent to Spider servers
Best ForEnterprises needing data sovereigntyAI agents requiring live web data

If you need to keep sensitive documents private and run AI entirely on-premise, PrivateGPT is the clear choice — it's free and air-gapped. But if your AI agent needs live web data for RAG or extraction, Spider Cloud's powerful Rust-based API and browser automation are unbeatable at $0.03 per 1k pages. Choose based on your data source: local or web.

Try Private GptTry Spider Cloud
Private Gpt
Private Gpt

PrivateGPT is the open-source on-premise RAG framework for local document Q&A — 57k GitHub stars, zero cloud calls.

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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
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
13 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIAPI
WebAPIPluginCLIDesktop
Categories
📦 LLM App Frameworks & SDKs🗄️ Vector Databases & Retrieval💾 Local & On-Device AI
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
100% on-premise deployment with no cloud inference dependency
Retrieval-augmented generation (RAG) pipeline bundled in
OpenAI-compatible production REST API
REST endpoints for document ingestion and chat
Streaming responses over the API
Gradio web UI for prototyping RAG over local documents
Air-gapped operation without an internet connection
Document ingestion for PDF, DOCX and common office formats
Context-aware Q&A over your own document set
Vector database integration with Qdrant and Chroma
Official Docker images for deployment
Command-line interface (CLI) for setup and management
Swagger UI for exploring and testing the API
Multi-model support across open-source and commercial LLMs
Data never leaves your local network
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
Qdrant
Chroma
Ollama
Hugging Face Transformers
LangChain
LlamaIndex
Gradio
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Private Gpt 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.

Private Gpt

18 mentions across 3 sources · 77% positive (averaged across 3 sources)

Hacker News, GitHub, Lemmy

What users praise

  • • 100% on-premise deployment ensures zero data leakage, addressing privacy fears.
  • • Active open-source community with 57k+ GitHub stars and frequent updates.
  • • Context-aware Q&A over documents via RAG, supporting PDF, DOCX, and more.
  • • Multi-model support allows swapping between open-source and commercial LLMs.

What frustrates them

  • • Setup is not beginner-friendly; requires Docker, Python, and local compute.
  • • Without a powerful GPU, latency becomes prohibitive for real-time use.
  • • Support quality varies; primarily community-driven with no official SLA.
  • • Limited out-of-the-box polish compared to Zylon commercial product.

Researched Jul 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

  • Enterprise legal team
    Pick: Private Gpt

    They need 100% data privacy for confidential documents, and PrivateGPT's on-premise RAG ensures no data leaks.

  • AI agent developer
    Pick: Spider Cloud

    Spider Cloud's fast web crawling and browser AI commands (Act, Extract, Observe) feed real-time web data into AI agents.

  • Regulated industry (healthcare)
    Pick: Private Gpt

    Air-gapped deployment and full data control meet compliance requirements for sensitive patient data.

  • RAG pipeline builder needing web content
    Pick: Spider Cloud

    Spider Cloud's structured output and integrations with LangChain/LlamaIndex easily plug into RAG systems.

  • Solo developer with limited budget
    Pick: Spider Cloud

    Free tier and low per-page cost ($0.03/1k) allow affordable scraping without upfront infrastructure investment.

Frequently Asked Questions

Private Gpt vs Spider Cloud: which should you choose?

If you need to keep sensitive documents private and run AI entirely on-premise, PrivateGPT is the clear choice — it's free and air-gapped. But if your AI agent needs live web data for RAG or extraction, Spider Cloud's powerful Rust-based API and browser automation are unbeatable at $0.03 per 1k pages. Choose based on your data source: local or web.

Can PrivateGPT work without internet?

Yes, it is designed for air-gapped environments and relies entirely on local hardware and models.

Does Spider Cloud offer a self-hosted option?

Yes, the core is open-source on GitHub, but the cloud API includes advanced features like AI Studio and Browser AI.

What formats does PrivateGPT support for documents?

It ingests PDF, DOCX, and other common formats for indexing and Q&A.

What is Spider Cloud's success rate?

It claims 99.9% success rate with automatic retries and rotating proxies.

How does pricing work for Spider Cloud?

Pay-as-you-go at $0.03 per 1,000 pages; failed requests are not billed. AI Studio add-on is $6/mo.

Is PrivateGPT good for multi-user enterprise features?

It lacks built-in SSO/RBAC; those require additional development or third-party integration.

Which tool integrates with LangChain?

Spider Cloud has direct integrations with LangChain, LlamaIndex, CrewAI, and others.

Can I use PrivateGPT with commercial LLMs?

Yes, it supports both open-source and commercial LLMs, but all run locally.

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Explore each tool further

Private Gpt
View Private Gpt reviewPrivate Gpt 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 Vector Databases & Retrieval toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026