Pdfstract 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

DimensionPdfstractSpider Cloud
Core functionalityPDF extraction, chunking, and embedding for RAGWeb crawling & scraping API for AI agents
Output formatsEmbeddings (vector), text chunksMarkdown, HTML, JSON, CSV, XML, plain text, screenshots
Extraction methods10+ libraries (Marker, Docling, PyMuPDF4LLM, etc.)Rust engine + AI models (Spider Silk) + Browser AI commands
Best forDevelopers building RAG pipelines from PDFsAI agents needing real-time web data
IntegrationsMarker, Docling, PyMuPDF4LLM, OpenAI, Sentence TransformersLangChain, LlamaIndex, CrewAI, GCS, S3, Supabase, etc.

Choose Spider Cloud if you need real-time web data—crawling, scraping, and AI-structured extraction at scale—for AI agents or RAG pipelines. Choose Pdfstract if your data source is PDFs and you want a free, open-source tool that handles extraction, chunking, and embedding in one command. They are complementary: Spider Cloud brings web content into your pipeline; Pdfstract prepares local PDFs for vector storage.

Try PdfstractTry Spider Cloud
Pdfstract
Pdfstract

Open-source command-line pipeline that extracts, chunks, and embeds PDFs for RAG, with switchable libraries via one parameter.

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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
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPIWeb
WebAPIPluginCLIDesktop
Categories
📑 Document AI & Data Extraction🗄️ Vector Databases & Retrieval📊 Data & Analytics
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
One-command convert-chunk-embed pipeline for PDFs
PDF extraction with 10+ libraries (Marker, Docling, PyMuPDF4LLM, Unstructured, PaddleOCR)
Additional extractors including markitdown, pytesseract, and deepseek
AI-powered semantic chunking
10+ chunking methods including token, recursive, and code-aware splitting
Vector embeddings via OpenAI, Sentence Transformers, and Ollama
Single-parameter switching between libraries, chunkers, and embedding providers
Auto-detection that selects an optimal library per document
Python library API with convert, chunk, and embed_texts methods
CLI with batch processing and automation support
React-based Web UI with real-time preview
Docker-ready one-command deployment
Tiered pip installs (base, standard for OCR, advanced for ML-powered converters, all)
Parallel processing for batch workflows
Outputs vector-ready chunks with embeddings attached for RAG ingestion
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
Sentence Transformers
Ollama
Marker
Docling
PyMuPDF4LLM
Unstructured
PaddleOCR
pytesseract
markitdown
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo founder building an AI agent that needs live web data
    Pick: Spider Cloud

    Spider Cloud provides real-time crawling, AI extraction, and Browser commands via WebSocket, perfect for agents that need to navigate and extract data from web pages.

  • Data scientist preparing PDF datasets for RAG
    Pick: Pdfstract

    Pdfstract offers a unified command to extract, chunk, and embed PDFs using best-of-breed libraries. It's free and integrates directly with embedding models.

  • RAG pipeline developer needing both web and PDF data
    Pick: Spider Cloud

    Spider Cloud can feed web content into the pipeline; Pdfstract can be used separately for PDFs. Both are complementary, but if forced to pick one, Spider Cloud is more versatile across data sources.

  • Team on a tight budget needing high-volume web scraping
    Pick: Spider Cloud

    At ~$0.03/1K pages, Spider Cloud is low-cost per page; failed requests are not billed. Its 99.9% success rate means efficient spending.

  • Non-technical user wanting simple PDF extraction
    Pick: Pdfstract

    Pdfstract's Web UI provides a no-code interface for interactive use, though some CLI knowledge is still useful.

Frequently Asked Questions

Pdfstract vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need real-time web data—crawling, scraping, and AI-structured extraction at scale—for AI agents or RAG pipelines. Choose Pdfstract if your data source is PDFs and you want a free, open-source tool that handles extraction, chunking, and embedding in one command. They are complementary: Spider Cloud brings web content into your pipeline; Pdfstract prepares local PDFs for vector storage.

Can Spider Cloud handle PDF extraction?

Spider Cloud primarily extracts from web pages. It does not have dedicated PDF extraction like Pdfstract.

Is Pdfstract suitable for real-time web crawling?

No, Pdfstract is designed for local PDF files, not web crawling.

Which tool is cheaper for large-scale processing?

For web scraping, Spider Cloud's pay-per-page model is cost-effective (~$0.03/1K pages). Pdfstract is free but requires you to manage your own infrastructure.

Do both tools support integration with LangChain?

Spider Cloud integrates directly with LangChain. Pdfstract outputs chunks/embeddings that can be used in LangChain, but it has no native LangChain integration.

Can Spider Cloud bypass CAPTCHAs?

Yes, Spider Cloud uses its Spider Silk AI model and rotating proxies to solve CAPTCHAs and avoid blocking.

Is Pdfstract open source?

Yes, Pdfstract is open source under the MIT license, allowing free use and modification.

Which tool offers AI-driven chunking?

Pdfstract offers AI-driven semantic chunking. Spider Cloud does not chunk; it provides structured output per page.

Can I use Spider Cloud for free?

Spider Cloud has a freemium model with a free tier (limited pages). Pdfstract is completely free.

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Explore each tool further

Pdfstract
View Pdfstract reviewPdfstract 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