Xberg 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

DimensionXbergSpider Cloud
PricingFree, open-source (MIT license); self-hostedFree tier (500 credits/mo); AI Studio $6/mo add-on; per-page pricing after free tier
Use Case FocusOffline document processing from 96+ file formatsReal-time web data extraction for AI Agents and RAG
DeploymentSelf-hosted (library, CLI, Docker, REST API, MCP server)Cloud API (SaaS) with self-hosted fallback
Key Technical StrengthSIMD-optimized CPU OCR and extraction; multi-engine OCR (Tesseract, PaddleOCR, VLM)Rust engine + stealth anti-detection for scraping; Browser AI commands
IntegrationsLangChain, LlamaIndex, Haystack, CrewAI, txtAI, SurrealDB, Spring AI, Open WebUILangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify, cloud storage
LATEST NEWS ImpactNo recent news captured; v5.0 features (image-index refs, SVG/image normalization) assumed currentBrowser AI commands (Act, Extract, Observe) via WebSocket; scraper catalog (1,000+ examples); data connectors to S3/GCS/Sheets/Azure Blob/Supabase

Spider Cloud is the choice for developers needing real-time web data for AI agents, with a generous free tier and cloud scalability. Xberg is ideal for offline, CPU-efficient document extraction from diverse file formats, but requires self-hosting. Choose based on your primary data source: live web vs. static documents.

Try XbergTry Spider Cloud
Xberg
Xberg

Open-source content intelligence engine for CPU-only document extraction

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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
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
WebAPICLI
Categories
📑 Document AI & Data Extraction🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Extract text, tables, and metadata from 107 formats to Markdown or five other output formats
OCR via Tesseract, PaddleOCR, EasyOCR, and VLM (GLM-OCR, DeepSeek-OCR, PaddleOCR-VL 1.5, VLM-OCR)
Whisper ONNX audio/video transcription with confidence scores and language detection
Code intelligence: extract functions, classes, imports, symbols across 371 languages
Named entity recognition and redaction
Document summarization and translation
Page classification and VLM image captions
Web crawling via crawlberg (Auto, Document, Crawl modes)
Nested archive extraction (.zip, .tar, .gz, .7z) with zip-bomb and nesting-depth guards
Structured entity extraction via local or hosted LLMs, no prompt engineering
Plugin system for custom extractors and OCR backends
REST API, CLI, MCP server, Docker, and WebAssembly deployment
Native SDKs in 17 languages including Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, C
SIMD-optimized CPU pipeline; no GPU required
Diagram recovery from vector SVG/PDF to Graphviz DOT (1.1.0)
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
LangChain
LlamaIndex
Haystack
CrewAI
txtAI
SurrealDB
Spring AI
Open WebUI
n8n
FlowiseAI
AutoGen
Agno

What real users say: Xberg 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.

Xberg

6 mentions across 2 sources · 45% positive — mixed

GitHub, Lemmy

What users praise

  • • Supports extraction from 96+ file formats out of the box.
  • • Rust core provides high performance and minimal external dependencies.
  • • Completely free and open-source with permissive license.
  • • Multi-backend OCR pipeline enables flexible text extraction.

What frustrates them

  • • Community feedback beyond GitHub stars is very limited.
  • • Support relies on open-source community; no official helpdesk.
  • • Integration guides for AI frameworks may be incomplete.
  • • Advanced features like VLM OCR still experimental?

Researched Jul 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

  • Solo founder building an AI agent that needs real-time web data for RAG
    Pick: Spider Cloud

    Spider Cloud's free tier (500 credits/mo) allows rapid prototyping without upfront cost. Its cloud API and 1,000+ scraper examples minimize setup time. Latest Browser AI commands enable dynamic interaction with webpages—essential for live data.

  • DevOps team deploying a microservice for CPU-only document parsing
    Pick: Xberg

    Xberg's Rust core with SIMD optimizations runs efficiently on CPU in Docker containers. It offers native SDKs in 17 languages, fitting into polyglot microservice architectures. No GPU required reduces cloud cost.

  • Enterprise needing compliant document redaction and OCR at scale
    Pick: Xberg

    Xberg's NER-based redaction (v5.0+) and multi-engine OCR (Tesseract, PaddleOCR) support compliance workflows. Self-hosting ensures data sovereignty. Plugin system allows custom validators for enterprise rules.

  • Developer of an AI chat tool that needs structured data from dynamic websites
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands (Act, Extract, Observe) via WebSocket enable interactive scraping of JavaScript-heavy sites. AI Studio's natural-language crawling makes it easy to specify intent. Integrations with Autogen, CrewAI, etc. simplify agent orchestration.

  • Researcher extracting metadata and tables from academic PDFs (LaTeX, JATS)
    Pick: Xberg

    Xberg supports 96+ formats including LaTeX, BibTeX, and JATS. Its code intelligence extracts functions and classes from research code. SIMD-optimized CPU pipeline allows bulk offline processing on a laptop.

Frequently Asked Questions

Xberg vs Spider Cloud: which should you choose?

Spider Cloud is the choice for developers needing real-time web data for AI agents, with a generous free tier and cloud scalability. Xberg is ideal for offline, CPU-efficient document extraction from diverse file formats, but requires self-hosting. Choose based on your primary data source: live web vs. static documents.

Can Spider Cloud scrape JavaScript-heavy websites?

Yes, Spider Cloud offers Browser AI commands (Act, Extract, Observe) via WebSocket, which can interact with dynamic content. It also includes stealth anti-detection and automatic unblocking with rotating proxies.

Is Xberg suitable for production document processing at scale?

Yes, Xberg is designed for high-throughput CPU-optimized pipelines. It deploys as a REST API, Docker container, or MCP server, and supports plugin extensions for custom extractors and validators.

What file formats does Xberg support?

Xberg supports 96+ formats including PDF, DOCX, CSV, images, HTML, LaTeX, BibTeX, JATS, and audio/video via Whisper ONNX. See Kreuzberg docs for full list.

Does Spider Cloud offer data connectors for cloud storage?

Yes, as of the latest news (2026-02-07), Spider Cloud provides data connectors to S3, GCS, Google Sheets, Azure Blob, and Supabase. Results can be piped directly on each crawl request.

Is Xberg free even for commercial use?

Yes, Xberg is open-source under the MIT license, free for any use—including commercial—with no restrictions.

Can Spider Cloud extract tables from images or PDFs?

Spider Cloud primarily extracts from live web pages as markdown, HTML, JSON, etc. For offline document extraction, Xberg is better suited as it specifically handles images and PDFs with OCR.

Which tool integrates better with LangChain/LlamaIndex?

Both integrate with LangChain and LlamaIndex. Spider Cloud also integrates with CrewAI, AutoGen, Agno, Dify, and FlowiseAI. Xberg integrates with Haystack, txtAI, and SurrealDB. Choose based on your framework stack.

Does Xberg support audio/video transcription?

Yes, Xberg v5.0+ includes optional Whisper ONNX for audio and video transcription, but it is file-based, not streaming.

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Explore each tool further

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