Arch 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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Arch or Spider Cloud: which should you choose?

DimensionArchSpider Cloud
Primary Use CaseAI proxy for agent orchestration / routing / securityWeb data extraction for AI agents / RAG
DeploymentSelf-hosted sidecar / standalone (open-source)Cloud API (managed) + open-source self-host option
Key DifferentiatorLLM-agnostic routing + guardrails + OTEL tracing out-of-boxRust-based high-performance crawling; Browser AI commands
Notable FeaturesFilter Chains, zero-code agentic signals, multi-agent supportAI extraction fallback, data connectors (S3/GCS/Sheets), scraper catalog
Ideal ForDevs building multi-agent systems with safety/observabilityDevs needing real-time web data for LLMs

Spider Cloud and Arch solve entirely different problems: Spider Cloud pulls live web data into AI pipelines, while Arch orchestrates and secures agent-to-LLM communication. Pick Spider Cloud if your bottleneck is getting structured web content fast (news, product pages, search results). Pick Arch if you're wiring multiple agents together and want built-in moderation, tracing, and model routing without reinventing the wheel. They are complementary – you could use Spider Cloud as a web tool inside an Arch-routed agent.

Arch
Arch

Plano is an open-source AI-native proxy for smart LLM routing, agent orchestration, and guardrails in agentic apps.

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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 Source (Apache-2.0)Free
Hosted Plano LLMs (US-central)Free
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
CLIAPI
WebAPIPlugin
Categories
🚦 LLM Gateways & Model Routers🛡️ AI Governance & Guardrails📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
AI-native proxy server and data plane built on Envoy
Low-latency orchestration and routing between multiple agents
Add new agents via YAML without modifying app code
Smart LLM routing by model name, alias, or preferences
plano_orchestrator_v1 4B-parameter routing model
Zero-code Agentic Signals capture across every agent
OpenTelemetry traces and metrics with no instrumentation
Random-sampling tracing for evaluation
Filter Chains for jailbreak protection and moderation
Memory hooks enforced consistently across agents
OpenAI-compatible chat completions endpoint
Agents are plain HTTP servers in any language
Sidecar or standalone deployment with Docker
Configurable edge proxying, LLM routing, or both
Free hosted Plano LLMs in US-central for first run
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

What do real users say about Arch 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.

Arch

82 mentions across 5 sources · 37% positive — critical (weighted across 5 sources)

Hacker News, Product Hunt, App Store, Stack Overflow, Lemmy

What users praise

  • • Envoy-based proxy runs as a sidecar or standalone, fitting existing service-mesh topologies
  • • OpenAI-compatible chat completions endpoint means agents can be plain HTTP servers in any language
  • • YAML-declared agents with natural-language descriptions remove routing code from application services
  • • Vendor-neutral, self-hosted option avoids lock-in to managed AI gateways like Portkey or Cloudflare AI Gateway

What frustrates them

  • • No verified community feedback in this dataset — every scraped 'Arch' post is about something else
  • • Rebrand from Arch to Plano splits discoverability and muddles search results badly
  • • Free hosted Plano LLMs are US-central only and described as a first-run experience
  • • Scaling production means self-hosting a 4B routing model or negotiating keys on Discord

Researched Oct 22, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 22, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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

  • Solo AI developer building a RAG chatbot
    Pick: Spider Cloud

    You need real-time web content (docs, news, product info) to ground your LLM’s answers. Spider Cloud’s API + structured output (markdown, JSON) feeds directly into your vector store. The scraper catalog saves weeks of integration effort.

  • Team of engineers building multi-agent workflow
    Pick: Arch

    You need to route prompts across agents (e.g., planner, executor, checker), apply safety filters, and trace every step. Arch’s zero-code OTEL capture and Filter Chains provide this out-of-box without modifying agent code.

  • Data scientist extracting e-commerce data
    Pick: Spider Cloud

    Spider Cloud’s Browser AI Extracting mode can pull structured data (prices, reviews) from dynamic pages. The data connectors pipe results directly to Google Sheets or S3 for analysis.

  • Startup prototyping an agentic app
    Pick: Arch

    You can quickly set up Arch as a sidecar to add routing, moderation, and observability – no infrastructure heavy lifting. Free Apache 2.0 license means zero vendor lock-in.

  • Developer needing both web data and agent orchestration
    Pick: Spider Cloud

    Use Spider Cloud as a tool within an agent orchestrated by Arch. They’re complementary: Arch routes the agent’s requests, Spider Cloud fetches the data. But if you had to pick one first, Spider Cloud provides immediate data access; Arch adds coordination later.

Frequently Asked Questions

Arch vs Spider Cloud: which should you choose?

Spider Cloud and Arch solve entirely different problems: Spider Cloud pulls live web data into AI pipelines, while Arch orchestrates and secures agent-to-LLM communication. Pick Spider Cloud if your bottleneck is getting structured web content fast (news, product pages, search results). Pick Arch if you're wiring multiple agents together and want built-in moderation, tracing, and model routing without reinventing the wheel. They are complementary – you could use Spider Cloud as a web tool inside an Arch-routed agent.

Can Spider Cloud be used without the AI Studio add-on?

Yes, the core crawling/scraping API works without AI Studio. The add-on enables natural language crawling instructions and advanced AI extraction features.

Does Arch support rate limiting or authentication?

Arch focuses on LLM routing, safety, and observability. It does not include traditional API gateway features like rate limiting or authentication out-of-box; you may need a separate gateway.

What integration does Spider Cloud have with LangChain?

Spider Cloud has native integrations with LangChain, LlamaIndex, CrewAI, and other AI frameworks, making it easy to plug into existing agent or RAG pipelines.

Is Arch truly free? Any hidden costs?

Arch is completely free and open-source under Apache 2.0. There are no paid tiers. You only incur costs for the infrastructure you run it on (e.g., cloud VM).

Which tool handles anti-bot measures better?

Spider Cloud includes a Browser Cloud with stealth anti-detection, rotating proxies, and an /ai/unblocker endpoint. Arch does not handle web scraping.

Can I use both tools together?

Absolutely. You can use Arch to orchestrate an agent that calls Spider Cloud’s API as a web search or extraction tool. They solve different problems and work great in combination.

Does Spider Cloud offer a free tier?

Spider Cloud is freemium – you get some free credits to start, then pay per page. Failed requests are not billed.

What is the latest news about Spider Cloud?

Recent updates include Browser AI commands (Act, Extract, Observe via WebSocket), a redesigned logs dashboard, a scraper catalog of 1,000+ examples, two-phase AI extraction fallback, and data connectors to S3/GCS/Sheets/Azure/Supabase.

What else are Arch and Spider Cloud compared with?

Where can you read more about Arch and Spider Cloud?

Browse these categories

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Analysis generated by our model pipeline from live data: