Lamatic.ai 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

DimensionLamatic.aiSpider Cloud
PricingFreemium; paid plans start at $20/mo (Hobby) to $199/mo (Growth); Enterprise customFreemium; paid plans start at $25/mo (Starter) to $399/mo (Business); $0.03 per 1k pages, no billing for failures
Primary Use CaseBuild and deploy AI agents and workflows with visual builder, serverless edge, and vector DBHigh-volume web crawling/scraping for AI agents and RAG pipelines with Rust engine
Key FeatureVisual flow builder (drag-and-drop nodes), 300+ models, built-in vector DB, MCP node and serverAI Studio ($6/mo), Browser AI commands (Act, Extract, Observe), 1,000+ scraper catalog, open-source core
Best ForStartups, agencies, and enterprise teams building agentic AI apps quickly with low-codeDevelopers and AI agents needing fast, reliable web data extraction at scale
Latest NewsJun 2026: AI Agent Evaluation Framework for reproducible testing; 2025 Q4: AgentKit and TemplatesMar 2026: Browser AI commands via WebSocket; Feb 2026: Scraper catalog (1k+ examples) and data connectors
Integration EcosystemAirtable, AWS S3, Firecrawl, GitHub, Gmail, Google Drive, Sheets, SQL Server, MySQL, N8N, Notion, OneDriveLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, GCS, S3, Supabase, Google Sheets

If you need to rapidly build and deploy AI agents with a visual builder, serverless infrastructure, and integrated vector database, choose Lamatic. But if your primary need is high-performance web crawling and scraping for feeding data into AI models or RAG pipelines, Spider Cloud's Rust engine, low cost per page, and open-source core make it the clear winner.

Lamatic.ai
Lamatic.ai

Visual, low-code platform to build, deploy, and optimize agentic AI apps on serverless edge infrastructure.

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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
Freemium
Freemium
Plans
$0/mo
$99/mo
$149/mo
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
1 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPICLI
WebAPICLI
Categories
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Visual flow builder with drag-and-drop nodes
Serverless edge deployment with automatic scaling
Built-in vector database for RAG
Agent nodes: Text, JSON, Multi-Modal, Supervisor
100+ text, image, and embedding models
Memory and context stores (external, stateful)
GitHub VCS integration for version control
AgentKit templates for quick start
AI agent evaluation framework
Real-time tracing, logs, alerts, dashboards
Jobs and scheduling for recurring runs
GraphQL API, Webhooks, Widgets, SDKs (JS, Python, Go, CLI)
MCP (Model Context Protocol) node and server
Test case assistant and prompt IDE
Request caching and retries/failovers
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
Airtable
AWS S3
Firecrawl
GitHub
Gmail
Google Drive
Google Sheets
Microsoft SQL Server
MySQL
N8N
Notion
OneDrive
PostgreSQL
SharePoint
Langfuse
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Lamatic.ai 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.

Lamatic.ai

18 mentions across 3 sources · 82% positive

Hacker News, Product Hunt, Bluesky

What users praise

  • Visual flow builder makes AI agent creation accessible to non-coders.
  • Edge deployment reduces latency for real-time applications.
  • Built-in vector database simplifies RAG implementation without separate setup.
  • Pre-built workflows and templates accelerate prototyping significantly.

What frustrates them

  • Almost no independent community feedback to validate claims.
  • Code-first teams may find visual builder too restrictive.
  • Pricing jumps from free to $99/mo, which may surprise early users.
  • No on-premise deployment option; cloud-only could be a dealbreaker.

Researched Jul 4, 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

  • Solo founder building an AI agent
    Pick: Lamatic.ai

    Lamatic's visual builder and built-in vector DB let you prototype and deploy agentic apps quickly without deep ML expertise, at $20/mo Hobby plan.

  • Developer needing web data for RAG pipeline
    Pick: Spider Cloud

    Spider Cloud's Rust engine provides high-speed, low-cost scraping ($0.03/1k pages) with integrations to LangChain and LlamaIndex, and new data connectors for seamless ingestion.

  • Enterprise team building secure AI middleware
    Pick: Lamatic.ai

    Lamatic's enterprise plan offers version control, environment management, and secure serverless edge deployment with real-time monitoring, ideal for sensitive use cases.

  • AI agent company requiring real-time web data
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands and AI Studio enable agents to act, extract, and observe web pages in real-time, with open-source fallback for flexibility.

  • Non-technical builder creating AI workflows
    Pick: Lamatic.ai

    Lamatic's no-code flow builder and 300+ pre-built models allow non-coders to build complex AI automations without writing code.

Frequently Asked Questions

Lamatic.ai vs Spider Cloud: which should you choose?

If you need to rapidly build and deploy AI agents with a visual builder, serverless infrastructure, and integrated vector database, choose Lamatic. But if your primary need is high-performance web crawling and scraping for feeding data into AI models or RAG pipelines, Spider Cloud's Rust engine, low cost per page, and open-source core make it the clear winner.

Can Lamatic scrape websites like Spider Cloud?

Lamatic can scrape via Firecrawl integration and its MCP node, but it is not a dedicated scraping engine. For high-volume, reliable web crawling, Spider Cloud's Rust engine is superior.

Does Spider Cloud offer a visual workflow builder?

No. Spider Cloud is an API-first tool; it does not have a visual flow builder. For that functionality, consider Lamatic or tools like FlowiseAI (with which Spider Cloud integrates).

Which tool is better for building RAG applications?

Lamatic provides a built-in vector database and memory stores, making it more self-contained for RAG. Spider Cloud excels at data ingestion into external vector stores via integrations.

Can I self-host Spider Cloud?

Yes. Spider Cloud's core is open-source on GitHub, allowing self-hosting. Lamatic does not offer self-hosting outside its enterprise plan.

What are the key News updates for each tool?

Lamatic (Jun 2026) launched an AI Agent Evaluation Framework for reproducible testing. Spider Cloud (Mar 2026) introduced Browser AI commands (Act, Extract, Observe) and (Feb 2026) a scraper catalog and data connectors.

Which tool integrates with LangChain?

Spider Cloud has direct integrations with LangChain, LlamaIndex, CrewAI, and more. Lamatic does not list LangChain in its integrations but supports 300+ models and SDKs.

Which is more cost-effective for high-volume scraping?

Spider Cloud's pay-as-you-go model ($0.03 per 1k pages) with no billing for failures is more cost-effective for high volumes than Lamatic's fixed monthly plans that limit runs.

Can I use Lamatic with my existing database?

Lamatic integrates with MySQL, Microsoft SQL Server, and others. It also includes a built-in vector database. For direct database connectors, Spider Cloud supports Supabase and Google Sheets.

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Last reviewed: July 3, 2026