Runtime vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-30
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Runtime or Spider Cloud: which should you choose?

DimensionRuntimeSpider Cloud
Core PurposeAgent orchestration & resilience runtimeWeb crawling & scraping API for AI agents
Key DifferentiatorState persistence, automatic retry, infinite parallel scalingRust engine, Browser AI commands, AI extraction with fallback
Target UserDevelopers building production Python agentsAI/LLM teams needing real-time web data
Open SourceYesOpen-source core on GitHub
Latest News ImpactPerry compiles TS to native binaries, ClojureWasm (no JVM) - runtime ecosystem evolvingBrowser AI commands (Act, Extract, Observe) now live via WebSocket

Runtime and Spider Cloud serve fundamentally different needs. Choose Runtime if you are a developer building resilient, scalable multi-step AI agents that require state management and failure recovery – it is free and lightweight. Choose Spider Cloud if your primary need is fast, reliable web data extraction for AI/LLM pipelines, with benefits like 99.9% success rate, pay-per-use pricing, and recently added Browser AI commands.

Try RuntimeTry Spider Cloud
Runtime
Runtime

Exosphere is an open-source Python runtime for durable AI agent execution that survives crashes, restarts, and network failures.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
Open SourceFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIWeb
WebAPIPlugin
Categories
🕸️ Agent Frameworks & Orchestration
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
State-based execution model for Python AI agents
Built-in retry policies with exponential backoff and jitter
Durable execution that survives crashes, restarts, and flaky networks
Unlimited parallel agents with automatic load distribution
Dynamic fanout of agents at runtime
Dynamic execution graphs with node-based control
Graph-level key-value storage for native state persistence
Visual dashboard for real-time execution tracking and debugging
Register nodes with the Exosphere State Manager
Trigger agent workflows and manage execution flows
Local State Manager and Dashboard setup for development
Lightweight runtime across distributed compute
Open-source codebase with a CONTRIBUTING.md for community contributions
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

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

  • Solo founder building an AI agent for task automation
    Pick: Runtime

    Free, open-source, and designed for resilient multi-step agents. State persistence and retry logic reduce debugging effort.

  • LLM engineer needing up-to-date web data for RAG pipeline
    Pick: Spider Cloud

    Spider Cloud's Rust engine provides fast, reliable crawling with structured output. Integrations with LangChain and LlamaIndex simplify pipeline building.

  • Enterprise team deploying high-volume agentic workflows
    Pick: Runtime

    Runtime's infinite parallel scaling and distributed compute support handle large loads without licensing costs.

  • Developer scraping complex sites with anti-bot measures
    Pick: Spider Cloud

    Browser Cloud with stealth anti-detection, Browser AI commands, and unblocker endpoint are tailored for challenging scraping tasks.

  • Startup prototyping agent orchestration with minimal overhead
    Pick: Runtime

    Runtime's lightweight footprint and visual dashboard accelerate development without heavy infrastructure.

Frequently Asked Questions

Runtime vs Spider Cloud: which should you choose?

Runtime and Spider Cloud serve fundamentally different needs. Choose Runtime if you are a developer building resilient, scalable multi-step AI agents that require state management and failure recovery – it is free and lightweight. Choose Spider Cloud if your primary need is fast, reliable web data extraction for AI/LLM pipelines, with benefits like 99.9% success rate, pay-per-use pricing, and recently added Browser AI commands.

What is the core difference between Runtime and Spider Cloud?

Runtime is a free, open-source runtime for building resilient AI agents (orchestration, state management, retry). Spider Cloud is a paid web crawling and scraping API optimized for AI data extraction.

Which tool is better for a RAG pipeline?

Spider Cloud is directly suited – it crawls web pages and outputs structured data (markdown, JSON) that can feed vector stores. Runtime could orchestrate the pipeline but does not scrape itself.

Can Runtime handle web scraping?

Runtime is not a scraper; it orchestrates agent steps. You would need to integrate a scraping library or API within your agent's nodes.

What are the pricing models?

Runtime is free and open-source. Spider Cloud is freemium with pay-as-you-go scraping (~$0.03/1k pages) and optional AI Studio add-on ($6/mo).

Does Spider Cloud offer a free tier?

Yes, Spider Cloud has a free tier with limited pages per month (exact limits not stated here) and an open-source core.

What recent features were added?

Spider Cloud added Browser AI commands (Act, Extract, Observe) in March 2026, a scraper catalog of 1,000+ examples, data connectors, and better AI extraction fallback. Runtime's recent news is about other projects (Perry, ClojureWasm), not Runtime itself.

Which tool is better for a non-technical user?

Neither is ideal. Spider Cloud requires API integration; Runtime requires Python coding. Spider Cloud's AI Studio simplifies crawling with natural language, but both target developers.

Can I self-host Spider Cloud?

Yes, Spider Cloud has an open-source core on GitHub that can be self-hosted, but the cloud version offers higher reliability and features like the Browser Cloud.

What else are Runtime 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

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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 Runtime and Spider Cloud?

Runtime
View Runtime reviewRuntime alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Agent Frameworks & Orchestration toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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