Burntop 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

DimensionBurntopSpider Cloud
Primary FunctionAI usage tracking & analyticsWeb crawling & scraping API for AI
PricingFree (open-source)Freemium (pay per usage or subscription)
Target UserIndividual devs & teams tracking AI costsAI agents & RAG pipelines needing web data
Key IntegrationClaude, Cursor, ChatGPTLangChain, LlamaIndex, CrewAI
Latest NewsNo recent updatesBrowser AI commands, scraper catalog, data connectors (Feb-Mar 2026)
Self-HostableYes (MIT license)Yes (open-source core on GitHub)

Choose Burntop if you're a developer wanting to monitor and optimize your personal AI tool usage across multiple platforms for free. Choose Spider Cloud if you're building AI agents or RAG systems that need reliable, cost-effective web data extraction, especially with the new Browser AI commands and data connectors. They serve entirely different needs, so the decision hinges on whether you need to track costs or collect data.

Burntop
Burntop

Free open-source AI usage tracking and analytics that syncs your token and cost data from Claude, Cursor, ChatGPT and other tools onto a shareable dashboard.

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
11 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIWeb
WebAPIPluginCLIDesktop
Categories
📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Real-time token tracking across supported AI tools
Estimated cost tracking per tool and model
Usage trends chart covering the last 7 days
Community leaderboard with rankings
Leaderboard filters by tool, model and time period
Shareable OG images of your usage stats
Embeddable badges for GitHub READMEs
Yearly Wrapped year-in-review summary
Streak tracking for consistent usage
CLI sync via `bunx burntop sync`
Support for 10+ AI tools
Detailed model-level analytics
Open-source under the MIT license
No credit card required
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
Cursor
ChatGPT
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo developer tracking AI costs
    Pick: Burntop

    Burntop is free, easy to set up with CLI, and provides detailed analytics on token usage and spending across multiple AI tools.

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

    Spider Cloud's Rust engine and Browser AI commands enable efficient web crawling and structured data extraction for RAG pipelines.

  • Open-source contributor sharing stats
    Pick: Burntop

    Burntop offers embeddable badges and OG images to display AI usage on GitHub profiles and social media.

  • Team optimizing AI spending
    Pick: Burntop

    Burntop's dashboard and leaderboard help teams monitor and optimize costs across members, though it lacks enterprise controls.

  • Developer building a scraping tool for LLMs
    Pick: Spider Cloud

    Spider Cloud integrates with LangChain and LlamaIndex, making it straightforward to incorporate web data into LLM applications.

Frequently Asked Questions

Burntop vs Spider Cloud: which should you choose?

Choose Burntop if you're a developer wanting to monitor and optimize your personal AI tool usage across multiple platforms for free. Choose Spider Cloud if you're building AI agents or RAG systems that need reliable, cost-effective web data extraction, especially with the new Browser AI commands and data connectors. They serve entirely different needs, so the decision hinges on whether you need to track costs or collect data.

Can Burntop track usage from any AI tool?

It supports 10+ tools including Claude, Cursor, and ChatGPT. Integration is via CLI sync.

Is Spider Cloud suitable for large-scale crawling?

Yes, with a Rust engine, rotating proxies, and cost of ~$0.03 per 1,000 pages, it's designed for high volume.

Does Burntop require a credit card?

No, it is completely free and open-source under MIT license.

Can Spider Cloud be self-hosted?

Yes, the open-source core is available on GitHub for self-hosting.

Does Burntop offer real-time usage alerts?

No, it focuses on dashboards and analytics, not real-time notifications.

What new features does Spider Cloud have?

Recent additions include Browser AI commands, scraper catalog, data connectors, and smarter AI extraction fallback (as of Feb-Mar 2026).

Can Burntop be used for team billing?

No, it is designed for individual usage tracking and lacks billing, chargeback, or admin controls.

What integrations does Spider Cloud support?

It integrates with LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, and data connectors to S3, GCS, Google Sheets, Azure Blob, and Supabase.

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Last reviewed: July 3, 2026