Kratos vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Kratos | Spider Cloud |
|---|---|---|
| Core Purpose | Go microservices framework with AI agent support (Blades). | Web crawling/scraping API for AI agents and RAG. |
| Key Feature | Protobuf-defined APIs, OpenTelemetry, Prometheus, Blades agent framework for LLM workflows. | Rust engine, AI Studio, Browser AI commands (Act/Extract/Observe), Silk AI model, 1,000+ scraper catalog. |
| Integrations | OpenTelemetry, Prometheus, Fluentd, Protobuf, gRPC, HTTP, OpenAI. | LangChain, LlamaIndex, CrewAI, S3, GCS, Google Sheets, Azure Blob, Supabase. |
| Best For | Go developers building cloud-native microservices with observability. | AI agents needing real-time web data for RAG. |
| Not For | Beginners unfamiliar with Go or microservices. | Simple one-off scraping, fixed subscription preference. |
These tools serve entirely different needs. Spider Cloud is a web data extraction API for AI agents and RAG, while Kratos is a Go framework for building microservices with optional AI agent capabilities. Choose Spider Cloud if you need to fetch structured web data at scale; pick Kratos if you're developing cloud-native services in Go. They are not direct competitors.
Kratos is a Go framework for building microservices with Protobuf APIs and LLM agents via Blades.
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Spider Cloud is an AI web scraping API that turns any site into markdown or JSON for agents and RAG.
Visit WebsiteWhat real users say: Kratos 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.
Kratos
88 mentions across 5 sources · 22% positive — critical (averaged across 5 sources)
Hacker News, YouTube, Bluesky, GitHub, Lemmy
What users praise
- • Protobuf-defined APIs with automatic HTTP/gRPC generation reduces boilerplate.
- • Pluggable middleware and service registry gives teams full infrastructure control.
- • Built-in OpenTelemetry and Prometheus metrics simplify observability in production.
- • Blades AI agent framework offers rare Go-native LLM workflow capabilities.
What frustrates them
- • Community feedback is extremely sparse and mostly off-topic for the framework.
- • Critical bug with etcd service discovery (context deadline exceeded) unresolved.
- • Docker deployment examples may require significant modification to work.
- • Learning curve is steep even for experienced Go developers due to abstractions.
Researched Jul 18, 2026
Spider Cloud
No verifiable community signal. We scanned public discussion on Sep 8, 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 startup building a RAG pipelinePick: Spider Cloud
Spider Cloud provides a fast, reliable web crawling and scraping API with AI Studio and Browser AI commands, making it easy to ingest fresh web data into a RAG pipeline. Integrations with LangChain and LlamaIndex simplify embedding workflows.
- Go developer creating a new microservicePick: Kratos
Kratos gives you a robust, pluggable microservices framework with Protobuf-defined APIs, OpenTelemetry, and Prometheus out of the box. It's perfect for building scalable cloud-native services in Go.
- Data scientist needing one-off web dataPick: Spider Cloud
Spider Cloud's simple API and free tier let you quickly scrape a few pages without infrastructure setup. Its structured output (CSV, JSON) is ideal for analysis.
- Platform engineer standardizing service templatesPick: Kratos
Kratos provides a consistent framework with middleware, observability, and code generation, helping enforce best practices across a team of Go developers.
- Agent developer needing real-time browser controlPick: Spider Cloud
The new Browser AI commands (Act, Extract, Observe) allow AI agents to interact with live web pages via WebSocket, enabling dynamic workflows like filling forms or clicking buttons.
Frequently Asked Questions
Kratos vs Spider Cloud: which should you choose?
These tools serve entirely different needs. Spider Cloud is a web data extraction API for AI agents and RAG, while Kratos is a Go framework for building microservices with optional AI agent capabilities. Choose Spider Cloud if you need to fetch structured web data at scale; pick Kratos if you're developing cloud-native services in Go. They are not direct competitors.
Which tool is cheaper for high-volume scraping?
Spider Cloud: $0.03 per 1,000 pages with no charge for failed requests. Kratos is free but requires your own infrastructure.
Can I use Kratos for web scraping?
Not directly. Kratos is a microservices framework, not a scraping tool. You could build a scraping service on top of it, but Spider Cloud is purpose-built for that.
Does Spider Cloud support AI agents natively?
Yes. It offers an AI Studio, Browser AI commands (Act/Extract/Observe), and a custom Silk AI model. It integrates with LangChain, LlamaIndex, etc.
Does Kratos have a built-in web UI?
No. Kratos is a backend framework with no web UI. It generates APIs via Protobuf and serves them over HTTP/gRPC.
Which tool is better for a Go monorepo?
Kratos. It's designed for Go microservices with code generation and toolchain support (linting, caching). Spider Cloud is language-agnostic via API.
Are there any free tiers?
Spider Cloud has a freemium model with limited free usage. Kratos is fully free and open-source (MIT).
Which tool offers observability?
Kratos has built-in OpenTelemetry and Prometheus metrics. Spider Cloud does not include observability; it's a data extraction API.
Can I run Spider Cloud self-hosted?
Spider Cloud's open-source core is available on GitHub for self-hosting, but the full feature set (AI Studio, Browser AI, etc.) requires the cloud service.
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Last reviewed: July 3, 2026