Clawdi 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

DimensionClawdiSpider Cloud
Primary FunctionRun open-source AI agents in the cloud without setupWeb crawling, scraping, and search API for AI agents
Target UserDevelopers experimenting with AI agents, prototypingAI agents needing real-time web data for RAG, LLMs
Key DifferentiatorDecoupled memory, keys, and skills from agent engineRust-powered high-performance scraping with 99.9% success rate
Setup RequiredNo-setup cloud agent executionAPI integration needed, but has 1,000+ ready-made scraper examples
Latest News HighlightsClaude Code statusline extension shows live World Cup scores (2026-06-12)Browser AI commands (Act, Extract, Observe) via WebSocket (2026-03-05); Scraper catalog with 1,000+ examples (2026-02-25)

For developers building AI agents that need live web data, Spider Cloud is the clear choice with its high-performance scraping, structured output, and AI extraction features. Clawdi offers a free, setup-free environment to run open-source agents, but it lacks the data-gathering capabilities of Spider Cloud. Pick Clawdi if you want to experiment with agent frameworks; pick Spider Cloud if your agents need to fetch and process web content at scale.

Try ClawdiTry Spider Cloud
Clawdi
Clawdi

Clawdi is cloud hosting for open-source AI agents — run Hermes or OpenClaw always-on with memory, skills, and connectors that follow the

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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
Paid
Freemium
Plans
$10.00/mo
$20.00/mo
Pay as you go
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPIPluginCLIDesktop
Categories
🕸️ Agent Frameworks & Orchestration🔌 MCP Servers & Agent Tooling🤖 Automation & Agents
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Persistent agent memory shared across every agent in a project
Portable SKILL.md skill library any agent in the project can use
Vaults scoping secrets and API keys to specific projects
Cloud Agents running Hermes or OpenClaw always-on in the cloud
Private workspace with files and a terminal per Cloud Agent
Chat channels: Telegram, Discord, and WhatsApp
Connectors for Gmail, Google Drive, Notion, GitHub, Linear, and HubSpot with one-click OAuth
Free MIT-licensed CLI connecting Claude Code, Codex, Hermes, OpenClaw, Pi, and OpenCode
CLI 0.15.7 browser sign-in with short code and terminal access to Agents, Sessions, Projects, and Wallet
Clawdi AI pay-as-you-go Wallet with saved cards, Apple Pay, Google Pay, and Link top-ups
Bring your own provider key (BYOK) to bypass Clawdi AI charges
Managed AI models: GPT-6 Astra default, plus GPT-6 Sol, GPT-6 Luna, and Grok 4.7
Switch models without restarting a running Cloud Agent
Session snapshots sharing a full session, up to a chosen message, or one response
Private reasoning and tool payloads excluded from shared session content
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
Gmail
Google Drive
Notion
GitHub
Linear
HubSpot
Telegram
Discord
WhatsApp
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo founder building a RAG chatbot
    Pick: Spider Cloud

    Needs reliable, fast web scraping to feed data into the RAG pipeline. Spider Cloud's structured output, AI extraction, and data connectors make it ideal for ingesting web content.

  • AI enthusiast prototyping agent frameworks
    Pick: Clawdi

    Wants to quickly test OpenClaw and Hermes without setup. Clawdi's decoupled memory and one-click launch enable fast iteration across frameworks at zero cost.

  • Developer creating a multi-agent system needing live data
    Pick: Spider Cloud

    Spider Cloud integrates with CrewAI, AutoGen, and others, providing real-time web data for agents. Its Browser AI commands allow agents to act on web pages.

  • Non-coder looking to run AI agents
    Pick: Clawdi

    Clawdi's one-click launch and no-setup cloud execution are more accessible. Spider Cloud requires API integration knowledge.

Frequently Asked Questions

Clawdi vs Spider Cloud: which should you choose?

For developers building AI agents that need live web data, Spider Cloud is the clear choice with its high-performance scraping, structured output, and AI extraction features. Clawdi offers a free, setup-free environment to run open-source agents, but it lacks the data-gathering capabilities of Spider Cloud. Pick Clawdi if you want to experiment with agent frameworks; pick Spider Cloud if your agents need to fetch and process web content at scale.

Can I use Clawdi for web scraping?

No, Clawdi is designed for running AI agents, not for scraping. For web data extraction, use Spider Cloud.

Does Spider Cloud require coding?

Yes, you need to integrate via API, but it offers 1,000+ ready-made scraper examples to reduce effort.

Is there a free tier for Spider Cloud?

Spider Cloud has an open-source core on GitHub (self-hosted), but the cloud API is pay-per-use with no free tier mentioned.

Which tool supports LangChain integration?

Spider Cloud explicitly lists LangChain among its integrations. Clawdi does not mention specific integrations.

Can I switch agent frameworks with Clawdi?

Yes, Clawdi decouples memory, keys, and skills, so you can switch engines without reconfiguration.

Does Spider Cloud use AI for extraction?

Yes, it uses Silk custom AI model for extraction and captcha solving, and a two-phase AI extraction fallback (fast and complex models).

Which tool is cheaper for high volume?

Clawdi is free but only runs agents. For scraping, Spider Cloud's $0.03 per 1,000 pages is very cost-effective. However, Clawdi's free model wins if you don't need scraping.

Does Clawdi have any recent news about core features?

The latest news for Clawdi (June 2026) is about a Claude Code statusline extension for World Cup scores, not core functionality. Spider Cloud's news (Browser AI commands, scraper catalog) directly enhances its scraping capabilities.

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Explore each tool further

Clawdi
View Clawdi reviewClawdi alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Agent Frameworks & Orchestration toolsBest AI Web Scraping & Search APIs toolsBest AI MCP Servers & Agent Tooling toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 2, 2026