Sie vs Spider Cloud

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

Analysis generated Live tool data as of 2026-11-13
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Sie or Spider Cloud: which should you choose?

DimensionSieSpider Cloud
What it isOpen-source Apache 2.0 inference server for small models on your GPUsHosted scraping/crawl/search API with its own browser + proxies
Pricing modelFreemium/open source; Managed SIE still waitlistFreemium; flat-rate Unlimited tier (geo-targeting excluded) plus pay-as-you-go
DeploymentYour laptop, one GPU box, or EKS/GKE/AKS via Helm, Terraform, KEDAVendor cloud, one API key, mcp.spider.cloud MCP server
Core capabilityEmbeddings, rerankers, OCR, extraction, small-LLM generation, guardrailsRender, crawl, search, browser sessions, 215M+ proxy IPs in 199 countries
Data residencyPrompts and documents stay in your cloud; supports air-gapped setupsRequests leave your infra to Spider's stack unless routed to a provider on your own keys
Skill barrierKubernetes + GPU ops experience requiredHTTP/API fluency; you handle 429s on Unlimited
Try SieTry Spider Cloud
Sie
Sie

SIE serves small open models for embeddings, reranking, OCR, and extraction on your GPUs or its API

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Spider Cloud
Spider Cloud

Web scraping, crawling and search API that returns clean markdown or JSON for RAG pipelines and AI agents.

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Pricing
Freemium
Paid
Plans
SIE LocalFree
SIE ServerlessUsage-based
Native Inference (SIE Cluster)Custom
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPIPlugin
Categories
🤖 Automation & Agents⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
FeaturesSieSpider Cloud
Encode text and images into dense, sparse, and multi-vector embeddings
Rerank query-document pairs with cross-encoders like Qwen3 Reranker and bge-reranker
Convert PDFs to markdown with tables and charts intact
Extract fields from invoices, receipts, and forms into schema-valid JSON
OCR receipts and handwriting into text, plus parse app screenshots to typed records
Guard prompt safety and redact PII with classifier models
Run an OpenAI-style chat API on open LLMs with structured output
Route each request between a cheap and a strong LLM
Extract entities and their relations into a knowledge graph
Ask questions about an image, detect objects, and classify images
Transcribe calls and meetings to text
Translate English into many languages
Serve one base model with many LoRA adapters
Serve models at high throughput, e.g. topk-embed-v1 at 50k tokens/s on one GPU
Cluster-wide queue with pool-then-batch GPU packing; worker pooling, model stacking, LRU eviction
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
Web search endpoint returns SERP results plus the pages behind them
Browser rendering executes scripts, loads lazy images, reaches infinite scroll
Stealth mode loads protected pages through a native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Rotating residential and ISP proxy pool across 199 countries with proxy rotation on every request
Provider router routes scrape and crawl requests to outside providers on your own keys
Prompt-based extraction returns named fields as JSON from scrape or crawl
Browser AI commands: Act, Extract and Observe modes over the browser WebSocket
extraction_schema parameter makes AI output conform to a JSON schema
Relevance gate skips pages not matching your prompt before they are billed
/ai/search searches the web and scrapes results in one call
/ai/unblocker combines AI extraction with the Unblocker in a single endpoint
CLI picks HTTP or a browser per page and stops at your budget
IntegrationsSieSpider Cloud
Chroma
LanceDB
Qdrant
Weaviate
LangChain
LlamaIndex
CrewAI
Agno
Dify
Flowise
Langflow
MCP
Claude Code
Codex
Cursor
Claude Desktop
Windsurf
Amazon S3
Google Cloud Storage

Who should pick Sie, and who should pick Spider Cloud?

  • RAG engineer feeding a pipeline
    Pick: Spider Cloud

    Crawl whole documentation sites streamed back as JSONL and scrape individual pages to markdown, so ingestion stops being a browser-automation project.

  • Search team burning per-token on embeddings and reranking
    Pick: Sie

    Self-hosted encoders and cross-encoders on shared GPUs, with pool-then-batch packing, directly target steady per-token spend.

  • Regulated or air-gapped enterprise
    Pick: Sie

    Prompts and documents never leave your cloud, and it runs on your own EKS/GKE/AKS with Helm and Terraform.

  • Coding-agent user wiring web access into Claude Code or Cursor
    Pick: Spider Cloud

    The MCP server plus spider-agent CLI and SKILL.md let the agent self-onboard against the whole API with minimal glue.

  • Document-processing team
    Pick: Sie

    OCR of PDFs, Office files, and scans into markdown, then extraction of entities, relations, and schema-valid JSON in one cluster.

Frequently Asked Questions

Can Spider Cloud and Sie be used together?

Yes, and that's the only combination that makes sense. Spider renders and crawls the pages, Sie does the private inference work — embeddings, reranking, OCR, extraction — on the output.

Which one can I start using today?

Spider Cloud, immediately, with an API key. Managed SIE is still a waitlist, so on the Sie side you're self-hosting the Apache 2.0 stack yourself until that changes.

Does either one avoid sending my data to a third party?

Sie does by design — it runs in your cloud or on your hardware. Spider Cloud sends requests to its rendering and proxy stack unless the provider router points a URL at an outside provider on your own keys.

What infrastructure does each demand?

Spider Cloud demands HTTP client skills, including 429 backoff on Unlimited and separate budget for proxies and AI extraction. Sie demands Kubernetes and GPU operations, with autoscaling worker pools from zero via Helm, Terraform, and KEDA if you want cost control.

I only scrape a few thousand pages a month and rarely embed anything. What should I do?

Neither, in all likelihood — that's the low-volume, bursty shape Sie's own comparisons concede hosted per-token pricing handles better, and a few thousand pages rarely justifies Spider's proxy and extraction add-ons either.

What else are Sie and Spider Cloud compared with?

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These are not competitors — don't frame this as a pick-one decision. Spider Cloud is infrastructure you buy to get live web pages into an agent or retrieval pipeline; Amplitude is the analytics layer

Looker vs Spider Cloud comparison

These tools are not competitors — they solve different problems for different buyers. Spider Cloud is a developer API for pulling live web data into agents and RAG pipelines, with a freemium entry poi

Where can you read more about Sie and Spider Cloud?

Sie
View Sie reviewSie alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Automation & Agents toolsBest AI Web Scraping & Search APIs toolsBest AI Developer Infrastructure toolsBest AI Browser & Computer-Use Agents tools
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