Lmnr 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

DimensionLmnrSpider Cloud
PricingFree tiers + unknown paid plansFree trial + pay-as-you-go from $1/GB bandwidth + compute
Primary FocusObservability & debugging for AI agentsWeb crawling & scraping API for AI agents
Key FeatureSignals for failure detection, Agent DebuggerFast Rust engine, Browser AI commands, 1k+ scrapers
Integration StrengthClaude SDK, OpenAI SDK, LangChain, MCPLangChain, LlamaIndex, CrewAI, data connectors
Best ForDebugging complex agent failuresReal-time web data for RAG pipelines

Choose Lmnr if your pain point is debugging agent loops, tool errors, or sub-agent misbehavior — its Signal-based failure detection and Agent Debugger are uniquely built for that. Choose Spider Cloud if what you need is fast, cheap, and reliable web scraping with AI extraction, especially to feed data into RAG pipelines or LLMs. They solve very different problems; the right pick depends on whether you're building agents or feeding them data.

Lmnr
Lmnr

Open-source agent observability that catches failures and fixes them.

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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
$30/mo
$150/mo
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPICLI
Categories
📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Automatic capture of LLM calls, tool calls, sub-agents, costs, and tokens
Readable transcript view for traces
Signals: natural-language failure detection with clustering
Signal clusters showing failure distribution and behavior
Auto-resolution of signal clusters when issues stop recurring
Automatic eval dataset generation from resolved error clusters
Agent Debugger with caching and MCP for coding agents
SQL editor for querying trace and signal data
Custom dashboards with custom SQL
Full-text search across span inputs, outputs, and attributes
Labeling queues for annotation of traces and datasets
Browser session recording for browser agents
Slack alerts and email alerts
Server-side PII removal
Laminar Agent: plain-language queries via MCP, CLI, or Slack
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
Claude Agent SDK
OpenAI Agents SDK
Mastra
Pydantic AI
Vercel AI SDK
LangChain
OpenHands SDK
Browser Use
Stagehand
Playwright
Anthropic
OpenAI
LiteLLM
DeepAgents
OpenCode SDK
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Lmnr 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.

Lmnr

51 mentions across 5 sources · 28% positive — critical

Hacker News, YouTube, Bluesky, GitHub, Lemmy

What users praise

  • Open-source with Rust core for high performance.
  • Natural-language Signals for easy failure detection.
  • Agent-specific observability catches infinite loops and tool errors.
  • Free tier available for small-scale usage.

What frustrates them

  • Limited community and support channels outside GitHub.
  • Setup requires understanding of OTLP and agent architecture.
  • Dashboard customization can be complex for beginners.
  • Some integrations are still in development or incomplete.

Researched Jul 15, 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

  • AI agent developer debugging production agents
    Pick: Lmnr

    Lmnr's Signals detect agent-specific failures like loops and tool errors, and its Agent Debugger helps fix issues with cached re-runs.

  • Developer building RAG pipelines that need web data
    Pick: Spider Cloud

    Spider Cloud's fast scraping with Rust, AI extraction, and structured outputs (markdown, JSON) directly feed data into RAG systems.

  • Startup shipping agent-based products
    Pick: Lmnr

    Lmnr's free tier and open-source observability help iterate quickly on agent performance without upfront cost.

  • Team needing to scrape large-scale e-commerce sites
    Pick: Spider Cloud

    Spider Cloud's Unblocker, rotating proxies, and 1k+ scrapers handle anti-bot measures and high volume at low cost.

  • Developer using Claude MCP for coding agents
    Pick: Lmnr

    Lmnr's Agent Debugger with MCP support allows Claude to run, trace, and fix its own behavior.

Frequently Asked Questions

Lmnr vs Spider Cloud: which should you choose?

Choose Lmnr if your pain point is debugging agent loops, tool errors, or sub-agent misbehavior — its Signal-based failure detection and Agent Debugger are uniquely built for that. Choose Spider Cloud if what you need is fast, cheap, and reliable web scraping with AI extraction, especially to feed data into RAG pipelines or LLMs. They solve very different problems; the right pick depends on whether you're building agents or feeding them data.

Can Lmnr scrape websites for data?

No, Lmnr is an observability tool for AI agents, not a web scraper. It does not provide web scraping capabilities.

Does Spider Cloud offer debugging for agent loops?

No, Spider Cloud focuses on data extraction and crawling, not on monitoring or debugging agent behavior.

Which tool integrates with LangChain?

Both do. Lmnr integrates with LangChain for tracing, while Spider Cloud integrates with LangChain for data retrieval.

Is Lmnr open-source?

Yes, Lmnr is described as an open-source observability platform.

Does Spider Cloud have an open-source component?

Spider Cloud offers an open-source fallback option for self-hosting, but the cloud service is proprietary.

Can I use Spider Cloud to crawl a single page?

Yes, Spider Cloud supports single-page scraping as well as large-scale crawling.

Does Lmnr support replaying traces with different models?

Yes, Lmnr includes a Playground feature that lets you replay spans with model or prompt swaps.

What output formats does Spider Cloud support?

Spider Cloud supports markdown, HTML, JSON, JSONL, CSV, XML, plain text, and screenshots.

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Last reviewed: July 8, 2026