Heym 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

DimensionHeymSpider Cloud
Primary UseBuild and run autonomous AI workflows with agents, RAG, and HITLCrawl/scrape web data at scale for AI agents and RAG pipelines
DeploymentSelf-hosted via Docker Compose or Kubernetes (source-available)Cloud API with open-source self-host option on GitHub
Key DifferentiatorVisual drag-and-drop workflow canvas + AI assistant that creates workflows from text/voiceRust engine for fast crawling + Browser AI commands (Act, Extract, Observe)
Target UserDevelopers and teams needing production-grade AI automation with full controlAI/ML engineers and data scientists needing web data for LLMs and agents
Latest News Highlights23 releases in month two; 632 GitHub stars; Dashboard tab; pgvector RAG; OpenTelemetryBrowser AI commands via WebSocket; scraper catalog (1k+ examples); data connectors to S3/GCS/Sheets

Choose Heym if you need a self-hosted, visual platform to build multi-agent workflows with RAG and human oversight. Choose Spider Cloud if your priority is fast, cheap, and reliable web data extraction for AI agents—especially if you need Browser AI commands or 1,000+ ready-made scrapers. They solve different problems: Heym orchestrates AI actions, Spider Cloud feeds AI with web data.

Heym
Heym

Heym is a self-hosted AI agent platform for building, running, and tracing agentic workflows on your own infrastructure.

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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
Freemium
Freemium
Plans
$0
€99/paid seat/month
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
5 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPIPluginCLIDesktop
Categories
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Visual canvas that executes branches, tool calls, agent memory, and HITL checkpoints as one live graph
AI assistant that generates nodes, edges, and MCP tools from a natural-language workflow description
Voice input and streaming responses inside the AI assistant
Multi-agent orchestration with sub-agents, team skills, and sub-workflows from one orchestrator
MCP client and server integration for connecting models to external tools
RAG semantic search over Qdrant or built-in Postgres with pgvector
LLM nodes for text generation and vision tasks
Agent nodes with tool calling and custom Python tools
Human-in-the-loop approval checkpoints before critical actions
Content guardrails across input, output, action, and human review
Parallel DAG execution of independent branches
Playwright browser automation with auto-heal for broken selectors
Execution traces, evals, and cost evaluation with release gating
Live operational dashboards, monitoring, and alerting
Heym Work team layer: describe a job, get a tested workflow, approve runs in pages built for business teams
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
OpenAI
Anthropic
Google Gemini
Ollama
Cerebras
OpenRouter
Slack
Discord
Gmail
Outlook
GitHub
Jira
Linear
Telegram
Notion
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Heym 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.

Heym

62 mentions across 5 sources · 54% positive — mixed (averaged across 5 sources)

YouTube, Product Hunt, App Store, GitHub, Lemmy

What users praise

  • • All-in-one: agents, RAG, MCP, HITL, traces, evals in a single platform
  • • Self-hosted deployment gives full control over data and infrastructure
  • • Human-in-the-loop checkpoints make workflows production-ready
  • • Visual builder with natural language workflow creation is intuitive

What frustrates them

  • • Setup and configuration require DevOps skills; not beginner-friendly
  • • License (Commons Clause + MIT) limits commercial reuse
  • • Long-running agent reliability unproven; questions about context loss
  • • Documentation may not cover all edge cases for complex workflows

Researched Aug 14, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 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

  • 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

Heym vs Spider Cloud: which should you choose?

Choose Heym if you need a self-hosted, visual platform to build multi-agent workflows with RAG and human oversight. Choose Spider Cloud if your priority is fast, cheap, and reliable web data extraction for AI agents—especially if you need Browser AI commands or 1,000+ ready-made scrapers. They solve different problems: Heym orchestrates AI actions, Spider Cloud feeds AI with web data.

Can Heym be used without self-hosting?

No, Heym currently requires self-hosting via Docker Compose or Kubernetes. It is source-available, not a SaaS. There is no official cloud offering yet.

Does Spider Cloud support headless browser actions like click and type?

Yes, via Browser AI commands (Act) released in March 2026. You can send WebSocket commands to click, type, and navigate. This is a separate Browser Cloud feature.

Which tool is better for building a custom AI agent with memory?

Heym includes persistent agent memory with knowledge graphs and built-in RAG (Qdrant or pgvector). It's designed for multi-agent orchestration with memory. Spider Cloud is only for data extraction, not agent memory.

Can I use Spider Cloud to scrape JavaScript-heavy sites?

Yes, Spider Cloud's Browser Cloud with stealth anti-detection handles JavaScript rendering. The Browser AI commands also work via WebSocket on live sessions.

Does Heym have pre-built workflow templates?

It does not explicitly advertise a template library, but the AI assistant can generate workflows from natural language. The latest changelog does not mention templates.

What integrations does Spider Cloud have for RAG frameworks?

Spider Cloud integrates with LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, and Dify. It also provides outputs in markdown and JSON for easy ingestion.

Can Heym connect to external APIs as workflow nodes?

Yes, Heym supports HTTP request nodes and Python tools/skills system for custom API calls. Integrations with Slack, Gmail, GitHub, Linear are built-in.

Which tool is more cost-effective for high-volume data extraction?

Spider Cloud's average $0.03 per 1,000 pages is extremely cost-effective. Heym has no data extraction focus; it's for workflow orchestration. For pure scraping, Spider Cloud wins on cost.

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Last reviewed: July 3, 2026