Traceloop 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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Traceloop or Spider Cloud: which should you choose?

DimensionTraceloopSpider Cloud
Primary UseLLM observability and evaluationWeb crawling and scraping for AI data
Key IntegrationLangChain, LlamaIndex, OpenAI, AnthropicLangChain, LlamaIndex, CrewAI, AutoGen
DeploymentCloud SaaS + on-prem/air-gappedCloud API + open-source self-host
ComplianceSOC 2, HIPAANot specified
Latest FeatureN/ABrowser AI commands (Act, Extract, Observe) via WebSocket

Choose Traceloop if your priority is monitoring and evaluating LLM outputs in production with built-in quality checks and compliance. Choose Spider Cloud if you need to feed your AI agents with fresh web data via a fast, cheap scraping API. They solve different problems and can complement each other.

Traceloop
Traceloop

LLM reliability platform that pairs OpenTelemetry tracing with built-in and custom evals so production AI apps get caught before they break.

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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
Freemium
Paid
Plans
FreeFree
EnterpriseCustom
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPIPlugin
Categories
📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
One-line OpenLLMetry SDK setup for LLM tracing
OpenTelemetry-based tracing for LLM and vector DB calls
OpenLLMetry SDK is Apache-2.0 open source
Traceloop Hub native OpenTelemetry gateway for LLM calls
Built-in evals for faithfulness, relevance, and safety
Custom evaluator training by annotating real examples
CI/CD integration running evals on every pull request
Real-time evaluations as your app runs
Monitoring dashboard for prompts, responses, and latency
Evaluation dashboard with model quality baselines
Prompt management and prompt registry
Datasets and experiments in the dashboard
Monitors with real-time alerts on quality drift
Guardrails for production LLM output
Tracing in Python, TypeScript, Go, and Ruby (Go and Ruby in beta)
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
OpenAI
Anthropic
Gemini
Bedrock
Ollama
Pinecone
Chroma
LangChain
LlamaIndex
CrewAI
PostHog
Slack
GitHub
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

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

  • MLOps engineer debugging LLM failures
    Pick: Traceloop

    Traceloop provides automatic tracing and built-in evaluations to identify root causes of LLM output issues in production.

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud's fast scraping API and Browser AI commands allow agents to fetch and interact with live web content seamlessly.

  • Compliance-conscious enterprise
    Pick: Traceloop

    Traceloop offers on-prem deployment and SOC 2/HIPAA compliance, essential for regulated industries.

  • RAG pipeline builder
    Pick: Spider Cloud

    Spider Cloud's structured output and direct connectors to vector stores and cloud storage simplify feeding fresh data into RAG pipelines.

  • Startup on a budget needing LLM observability
    Pick: Traceloop

    Traceloop's free tier (50K spans) and affordable Pro plan ($99/mo) provide robust monitoring without breaking the bank.

Frequently Asked Questions

Traceloop vs Spider Cloud: which should you choose?

Choose Traceloop if your priority is monitoring and evaluating LLM outputs in production with built-in quality checks and compliance. Choose Spider Cloud if you need to feed your AI agents with fresh web data via a fast, cheap scraping API. They solve different problems and can complement each other.

Can Traceloop and Spider Cloud be used together?

Yes, they are complementary. Spider Cloud can fetch external web data for your LLM, and Traceloop can monitor and evaluate the LLM's performance using that data.

Does Traceloop support custom evaluation metrics?

Yes, you can annotate examples and train a custom evaluator that scores outputs according to your criteria.

What is the typical latency of Spider Cloud's scraping?

Spider Cloud's Rust engine ensures fast crawling; typical page loads are under a second depending on the target website.

Does Spider Cloud have a free tier?

Yes, it offers 500 rows per month free, which includes crawling and scraping up to 500 pages (or extracted rows).

Does Traceloop integrate with LangChain?

Yes, Traceloop has deep integration with LangChain, LlamaIndex, and other common LLM frameworks via OpenTelemetry.

Can Spider Cloud handle JavaScript-heavy websites?

Yes, Spider Cloud's Browser Cloud with stealth anti-detection can render JavaScript and extract content from dynamic pages.

Is Traceloop SOC 2 and HIPAA compliant?

Yes, Traceloop offers SOC 2 and HIPAA compliance, and supports on-prem or air-gapped deployment for data sovereignty.

How does Spider Cloud's Browser AI command work?

Browser AI commands allow you to send Act (click, type, navigate), Extract (pull structured data), and Observe (describe screen) via WebSocket to control a headless browser.

What else are Traceloop and Spider Cloud compared with?

Where can you read more about Traceloop and Spider Cloud?

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