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HomeCompareHeym vs Spider Cloud

Heym vs Spider Cloud

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

Live tool data as of 2026-07-06
Reviewed by our team on 2026-07-03
Saved

At a glance

DimensionHeymSpider Cloud
Pricingfreemium · from Free Self-Hosted $0/mofreemium · from Free Credits on Signup $0
Best forDevelopers building production-grade AI workflows with full data control, Teams needing self-hosted AI automation for sensitive data (HIPAA, GDPR)AI agents needing real-time web data for RAG, RAG pipelines requiring up-to-date content from the web
Standout featuresVisual drag-and-drop workflow editor (Vue Flow) · AI assistant generates workflows from natural language or voice · Multi-agent orchestration with up to 5 levels of nestingWeb crawling and scraping API with Rust engine · AI Studio for natural language crawling (add-on $6/mo) · Browser AI commands via WebSocket: Act, Extract, Observe
Viability score77/10088/100
APIYesYes

Heym is the stronger pick for developers building production-grade ai workflows with full data control; Spider Cloud fits better for ai agents needing real-time web data for rag.

Built from live tool data, last verified 2026-07-06.

Heym
Heym

Self-hosted AI workflow platform with visual canvas, agents, and MCP.

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Spider Cloud
Spider Cloud

Fast web crawling, scraping, and search API for AI agents

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Pricing
Freemium
Freemium
Plans
$0/mo
Contact
$0
$5
$25
$50
$100
$500
$2,000
$6/mo
Popularity
0 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPICLI
APIWeb
Categories
⚙️ Developer Infrastructure🤖 Automation & Agents
⚙️ Developer Infrastructure
Features
Visual drag-and-drop workflow editor (Vue Flow)
AI assistant generates workflows from natural language or voice
Multi-agent orchestration with up to 5 levels of nesting
Built-in RAG pipeline (Qdrant or pgvector) with document upload
MCP (Model Context Protocol) client and server support
Human-in-the-loop approval checkpoints
Content guardrails with 4 layers (input, output, action, human review)
Persistent agent memory with knowledge graphs
Execution traces and evals for debugging and testing
Token cost tracking per workflow
User-built dashboards with chart widgets (Dashboard tab)
Python tools and skills system for portable agent capabilities
Playwright browser automation with auto-healing
Data pinning and version history for workflows
Parallel DAG execution for independent branches
Web crawling and scraping API with Rust engine
AI Studio for natural language crawling (add-on $6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection
Structured output: markdown, HTML, JSON, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples (32 categories)
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
Integrations
OpenAI
Anthropic
Ollama
Cerebras
Google Gemini
OpenRouter
Slack
Discord
Gmail
Outlook
GitHub
Linear
Cloudback
Telegram
Notion
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno
Dify
Google Cloud Storage
Amazon S3
Supabase

Who should pick which

  • Developer building a multi-agent customer support system
    Pick: Heym

    Heym's visual canvas, multi-agent orchestration, and human-in-the-loop checkpoints let you build and monitor complex support flows. Slack, Gmail, and GitHub integrations connect directly. Self-hosting ensures sensitive data stays on-prem.

  • AI engineer needing live web data for a RAG pipeline
    Pick: Spider Cloud

    Spider Cloud's fast Rust engine, 99.9% success rate, and structured output (markdown, JSON) feed directly into RAG systems. LangChain and LlamaIndex integrations make it plug-and-play. Browser AI commands enable dynamic extraction.

  • Startup automating lead enrichment with web scraping
    Pick: Spider Cloud

    Spider Cloud's 1,000+ ready-made scrapers and cheap per-page pricing ($0.03/1k pages) are ideal for high-volume lead data extraction. Data connectors to Google Sheets streamline pipelines.

  • Enterprise team requiring compliance and audit trails for AI workflows
    Pick: Heym

    Heym's self-hosted deployment, execution traces, and human-in-the-loop approvals provide full auditability. Content guardrails and token cost tracking help meet compliance requirements.

  • Hobbyist prototyping agentic workflows on a budget
    Pick: Heym

    Heym is free to self-host and includes visual canvas, RAG, and MCP support. No per-usage costs let you experiment freely. The open-source community (632 stars) provides support.

Frequently Asked Questions

Which is better, Heym or Spider Cloud?

The best choice between Heym and Spider Cloud depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Heym and Spider Cloud?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Heym or Spider Cloud?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

Heym
View Heym reviewHeym alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

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