Deasy Labs vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionDeasy LabsSpider Cloud
Primary Use CaseEnterprise unstructured data curation for RAGWeb scraping & crawling for AI agents
DeploymentYour own cloud environmentCloud API (with open-source self-host fallback)
Data SourcesSharePoint, S3, cloud sources (internal)Web URLs (external)
Key FeatureAutomated metadata tagging & sensitive data detectionBrowser AI commands with WebSocket (Act, Extract, Observe)
Best ForEnterprise AI teams with unstructured internal dataDevelopers building AI agents needing web data

Choose Deasy Labs if your bottleneck is curating and governing messy internal files (SharePoint, S3) for RAG at scale. Choose Spider Cloud if you need fast, cost-effective web scraping and crawling to feed AI agents with real-time external data. They solve different data acquisition problems — pick based on whether your data lives inside your enterprise or across the web.

Try Deasy LabsTry Spider Cloud
Deasy Labs
Deasy Labs

Deasy Labs turns SharePoint, email archives, and PDF piles into curated, metadata-enriched datasets ready for RAG and agent pipelines.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Contact Sales
Freemium
Plans
Contact sales
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
📑 Document AI & Data Extraction📊 Data & Analytics🔒 Security & Privacy
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Connect to SharePoint and Amazon S3 source repositories
OCR, parsing, and chunking of unstructured files
Automatic taxonomy design and build from your content
Metadata tagging at thousands of files per minute
Sensitive data detection at petabyte scale, every file screened
File quality and relevance scoring against a specific use case
Slice datasets by relevance, topic, time, quality, or sensitivity
Write enriched metadata back to source systems
Ship datasets downstream to RAG pipelines and retrieval systems
Auto-refresh of datasets as new content lands in sources
Centralized metadata governance: taxonomy, tag definitions, owners, accuracy
Domain-specific metadata enrichment
UI for business teams
APIs and Python SDK for engineers
Deploy in your own cloud environment
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions 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 the 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
Requests stream back as they land, in order, without waiting for the last URL
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
Integrations
SharePoint
Amazon S3
Google Cloud Vertex AI
Gemini
LlamaIndex
Qdrant
LangChain
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Google Cloud Storage
Google Sheets

Who should pick which

  • Enterprise data engineer
    Pick: Deasy Labs

    Handles automated ingestion, tagging, and sensitive data detection from SharePoint/S3 at scale, with deployment in your own cloud.

  • AI agent developer
    Pick: Spider Cloud

    Fast web scraping API with 99.9% success, Browser AI commands, and data connectors to feed agents real-time web data.

  • Compliance officer
    Pick: Deasy Labs

    Petabyte-scale sensitive data detection and metadata governance across internal file repositories.

  • RAG pipeline builder (internal data)
    Pick: Deasy Labs

    Curates AI-ready datasets from unstructured internal sources with quality scoring and auto-refresh.

  • RAG pipeline builder (web data)
    Pick: Spider Cloud

    Low-cost crawling and scraping to keep RAG systems updated with web content; integrates with LlamaIndex.

Frequently Asked Questions

Deasy Labs vs Spider Cloud: which should you choose?

Choose Deasy Labs if your bottleneck is curating and governing messy internal files (SharePoint, S3) for RAG at scale. Choose Spider Cloud if you need fast, cost-effective web scraping and crawling to feed AI agents with real-time external data. They solve different data acquisition problems — pick based on whether your data lives inside your enterprise or across the web.

Can I use Deasy Labs to scrape websites?

No, Deasy Labs is designed for internal enterprise data sources like SharePoint and S3, not web scraping.

Can Spider Cloud handle sensitive data detection?

No, Spider Cloud focuses on web data extraction; it does not include sensitive data detection.

Which tool is better for RAG pipelines?

It depends on data source: Deasy Labs for internal documents, Spider Cloud for web content. They can complement each other.

Does Deasy Labs have a free tier?

No, Deasy Labs is enterprise-only with contact-based pricing.

Does Spider Cloud offer a self-hosted version?

Yes, Spider Cloud's core is open-source on GitHub, allowing self-hosting.

What is the pricing model for Spider Cloud?

Usage-based: ~$0.03 per 1,000 pages crawled, with a free tier for limited usage. AI Studio is $6/month add-on.

Which tool integrates with LangChain?

Spider Cloud integrates with LangChain; Deasy Labs does not.

Can I deploy Deasy Labs in my own cloud?

Yes, Deasy Labs deploys in your own cloud environment for data control.

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Explore each tool further

Deasy Labs
View Deasy Labs reviewDeasy Labs alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Document AI & Data Extraction toolsBest AI Web Scraping & Search APIs toolsBest AI Data & Analytics toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026