Goai 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

DimensionGoaiSpider Cloud
PricingFree/open-sourceFreemium (30k credits free, then $0.03/1k pages)
Primary Use CaseUnified LLM API access in GoWeb data extraction for RAG/AI agents
Key FeatureStructured object generation with Go genericsBrowser AI commands (Act, Extract, Observe) via WebSocket
Integrations25+ LLM providers, MCP servers, LangfuseLangChain, LlamaIndex, cloud storage connectors
Latest NewsNoneBrowser AI commands and scraper catalog (2026)
Best ForGo developers building LLM appsAI agents needing real-time web data

Choose Spider Cloud if you need high-volume web scraping with AI extraction for RAG pipelines; it offers a robust crawling API with 1,000+ ready-made scrapers and browser-based AI commands. Choose GoAI if you're a Go developer seeking a unified, fast SDK to access 25+ LLM providers with minimal dependencies and efficient streaming. They solve different problems and can complement each other.

Goai
Goai

GoAI SDK: one unified Go API across 25+ LLM providers with streaming, structured output, MCP support.

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPICLI
Categories
📦 LLM App Frameworks & SDKs🚦 LLM Gateways & Model Routers🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
GenerateText for non-streaming text generation
StreamText for real-time streaming via Go channels
GenerateObject[T] for type-safe structured output
StreamObject[T] for partial object streaming with typed results
Embed and EmbedMany for text embeddings with auto-chunking
GenerateImage for image generation (OpenAI, Google, Azure, Vertex AI)
Tool calling with auto MaxSteps loop
23 provider-defined tools (web search, code execution, computer use, file search)
MCP client supporting stdio, HTTP, SSE transports
MCP OAuth 2.1 with PKCE for remote servers
Prompt caching for Anthropic, Bedrock, and MiniMax
Langfuse and OpenTelemetry tracing integration
TokenSource for auto-refreshing OAuth tokens
Provider-neutral file upload and remote file references (v0.9.0)
Minimal dependencies: core requires only golang.org/x/oauth2
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
OpenAI
Anthropic
Google Gemini
AWS Bedrock
Azure OpenAI
Vertex AI
Cohere
Mistral
xAI (Grok)
Groq
DeepSeek
MiniMax
Fireworks AI
Together AI
DeepInfra
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Goai 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.

Goai

9 mentions across 4 sources · 53% positive — mixed

Hacker News, Product Hunt, App Store, Lemmy

What users praise

  • Unified API across 25+ LLM providers in one Go library.
  • Only 2 core dependencies – stdlib only, minimal bloat.
  • Generics-based type safety for structured object generation.
  • Streaming, tool loops, and MCP support built-in.

What frustrates them

  • Community feedback is extremely sparse for a production tool.
  • Most online mentions are about other tools built on Goai, not Goai itself.
  • No real-world reliability or bug reports available.
  • Support resources like forums or documentation are unvalidated.

Researched Jul 3, 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

  • Go developer building an agent
    Pick: Goai

    GoAI provides a native Go SDK for LLM interactions with tool calling, streaming, and MCP support, avoiding language switching.

  • AI researcher needing fresh web data for RAG
    Pick: Spider Cloud

    Spider Cloud excels at real-time web crawling with AI extraction, 99.9% success rate, and direct data connectors to cloud storage.

  • Solo founder prototyping a chatbot
    Pick: Goai

    Free and open-source, GoAI lets any Go developer quickly integrate multiple LLMs without scraping infrastructure.

  • Startup building a competitive intelligence pipeline
    Pick: Spider Cloud

    Its scraper catalog (1,000+ templates) and browser automation enable automated data collection at scale, with usage-based pricing.

  • Developer migrating from Python/Node AI SDKs to Go
    Pick: Goai

    GoAI is designed for Go developers, offering fast cold starts and idiomatic APIs, easing migration.

Frequently Asked Questions

Goai vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need high-volume web scraping with AI extraction for RAG pipelines; it offers a robust crawling API with 1,000+ ready-made scrapers and browser-based AI commands. Choose GoAI if you're a Go developer seeking a unified, fast SDK to access 25+ LLM providers with minimal dependencies and efficient streaming. They solve different problems and can complement each other.

Can I use Spider Cloud and GoAI together?

Yes. Use Spider Cloud to scrape and extract web data, then pass that data to an LLM via GoAI for processing.

Does Spider Cloud have a free tier?

Yes, 30,000 free credits (pages) to start, then pay-as-you-go at $0.03 per 1,000 pages.

Is GoAI only for Go developers?

Yes, it's a Go library. Non-Go developers would need other SDKs.

What LLM providers does GoAI support?

25+ including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, Mistral, xAI, Groq, Cohere, DeepSeek, Ollama, and more.

Does Spider Cloud offer any natural language interface?

Yes, through AI Studio ($6/mo add-on) which allows crawling via natural language commands.

How does Spider Cloud handle anti-bot measures?

It uses a Browser Cloud with stealth anti-detection, rotating proxies, and automatic retries; also offers an /ai/unblocker endpoint.

Does GoAI support structured output from LLMs?

Yes, via GenerateObject[T] using Go generics for type-safe structured data extraction.

Which tool is cheaper for a low-volume user?

Spider Cloud has a free tier (30k pages) sufficient for low volume; beyond that, usage costs apply. GoAI is always free.

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Last reviewed: July 3, 2026