Runsight vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionRunsightSpider Cloud
Core OfferingYAML workflow engine for AI agentsWeb crawling/scraping API for AI agents
DeploymentSelf-hosted (open-source)Cloud API + self-hosted option
Pricing ModelFree (self-hosted, own API keys)Freemium (pay per page, AI Studio $6/mo add-on)
Key FeatureGit-native version control for workflowsRust engine, 99.9% success rate, $0.03/1k pages
Best ForDevelopers building multi-step agent pipelinesAI agents needing real-time web data
Latest News RelevanceNo recent updates to core productBrowser AI commands, scraper catalog, data connectors (2026)

Choose Runsight if you need to orchestrate and version-control complex, multi-step AI agent pipelines with granular cost tracking; choose Spider Cloud if your primary need is fast, reliable web data extraction for AI agents or RAG pipelines. Runsight is stronger for internal workflow logic; Spider Cloud excels at external data ingestion.

Runsight
Runsight

Open-source YAML workflow engine for Git-native AI agents with per-run cost tracking and built-in eval.

Visit Website
Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

Visit Website
Pricing
Free
Freemium
Plans
$0
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIWeb
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
YAML-first workflow definitions
Git-native version control (every save is a commit)
Visual canvas editor
Monaco YAML editor with dual-view sync
Per-run cost tracking per block
Hard budget caps (max_cost, max_tokens)
Built-in evaluation framework with assertions
Transform hooks for structured extraction
Offline eval test harness
Pause and kill agent execution mid-run
Loops with break conditions
Sub-workflows and nested orchestration
Souls (agent identities: role, prompt, model, tools)
Custom tools (HTTP, Python, file-based)
Self-hosted with your own API keys
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
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

Who should pick which

  • Solo developer building multi-step AI agents
    Pick: Runsight

    Free, self-hosted, and provides full control over workflow logic with versioning and cost tracking.

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

    Fast, reliable scraping API with high success rate and structured output; integrates with popular agent frameworks.

  • Team managing complex agent pipelines in CI/CD
    Pick: Runsight

    Git-native workflow definitions enable code review, version control, and integration with existing DevOps.

  • Developer building a web research agent
    Pick: Spider Cloud

    Browser AI commands and scraper catalog simplify extracting data from various sites at scale.

  • Startup wanting cost transparency per agent run
    Pick: Runsight

    Per-block cost tracking and hard budget caps prevent surprises, and it's free to start.

Frequently Asked Questions

Runsight vs Spider Cloud: which should you choose?

Choose Runsight if you need to orchestrate and version-control complex, multi-step AI agent pipelines with granular cost tracking; choose Spider Cloud if your primary need is fast, reliable web data extraction for AI agents or RAG pipelines. Runsight is stronger for internal workflow logic; Spider Cloud excels at external data ingestion.

Can Runsight scrape websites?

No, Runsight is a workflow engine for orchestrating AI agent steps. For web scraping, you would integrate it with an external tool like Spider Cloud.

Does Spider Cloud offer workflow orchestration?

No, Spider Cloud focuses on data extraction. You would use an orchestrator like Runsight to build multi-step pipelines that include Spider Cloud calls.

Which tool is better for cost control?

Runsight has hard budget caps and per-run cost tracking. Spider Cloud charges per page but failed requests aren't billed; usage can vary.

Do either support self-hosting?

Yes, both are open-source and can be self-hosted. Runsight is fully self-hosted by design; Spider Cloud offers an open-source core.

Which has better integrations with AI frameworks?

Spider Cloud explicitly supports LangChain, LlamaIndex, CrewAI, AutoGen, and more. Runsight's workflow definitions are framework-agnostic.

Can I use Runsight without coding?

Runsight provides a visual canvas, but it's primarily YAML-driven. Non-technical users may prefer no-code tools.

What are the latest features for Spider Cloud?

Recent additions include Browser AI commands (Act, Extract, Observe), a scraper catalog with 1,000+ examples, and data connectors to cloud storage.

Is there a free tier for Spider Cloud?

Spider Cloud offers a freemium model; exact free tier details are not provided, but usage-based pricing starts low ($0.03/1k pages).

More Runsight or Spider Cloud comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 2, 2026