Lmnr 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

DimensionLmnrSpider Cloud
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 auto-captures every LLM and tool call and flags failures you never wrote a detector for.

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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
Freemium
Freemium
Plans
$0/mo
$30/mo
$150/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
12 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPIPluginCLIDesktop
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
Transcript view with cost heatmap instead of a raw span tree
Signals: surfaces agent failure modes with no pre-defined detectors
flow-1 model for trace analysis, fine-tuned and RL post-trained
Signal event clusters with failure distribution and trend counts
Clusters auto-resolve when a failure stops and reopen if it recurs
Eval datasets generated automatically from fixed failure clusters
Laminar Agent in Slack answers questions about your traces
Agent debugger with MCP and CLI full SQL access to traces
Replay a recorded run from cache up to the point under test
Custom dashboards and SQL editor over raw trace data
Automatic agent input extraction from every run
Labeling queues to build datasets from traces or SQL results
Browser session recording alongside traces
Server-side PII removal and OTLP trace 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
Claude Agent SDK
OpenAI Agents SDK
Mastra
Pydantic AI
Vercel AI SDK
LangChain
OpenHands SDK
Browser Use
Stagehand
Playwright
Anthropic
OpenAI
LiteLLM
Slack
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

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 (averaged across 5 sources)

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

No verifiable community signal. We scanned public discussion on Oct 14, 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 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