Mobilerun 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

DimensionMobilerunSpider Cloud
Core Problem SolvedMobile device automation (iOS/Android) via natural languageWeb crawling, scraping, and AI-driven data extraction
Key Latest FeatureNone (no recent news)Browser AI commands (Act, Extract, Observe) via WebSocket
DeploymentLocal (USB/ADB) or managed cloud (beta)Cloud API; self-host open-source core
Best ForDevelopers automating mobile devices for testing or data extractionAI agents and RAG pipelines needing web data

Choose Mobilerun if your primary need is AI-driven mobile automation on real iOS/Android devices, especially if you want open-source flexibility and LLM-agnostic control. Choose Spider Cloud if your focus is web data extraction for AI agents, offering a fast Rust-based API, 1,000+ scraper examples, and recent Browser AI commands for dynamic interaction. The tools serve different domains so the decision hinges on whether you need mobile or web automation.

Try MobilerunTry Spider Cloud
Mobilerun
Mobilerun

Open-source mobile automation framework that drives real iOS and Android devices from plain-English goals, plus a managed cloud phone fleet.

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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/mo
$20/mo
$99/mo
$299/mo
Custom
$64/mo billed annually ($768/yr), or $80/mo monthly
$160/mo billed annually ($1,920/yr), or $200/mo monthly
$4/mo billed annually ($48/yr), or $5/mo monthly
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
28 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPIWebPlugin
WebAPIPluginCLIDesktop
Categories
🖱️ Browser & Computer-Use Agents🧪 Software Testing & QA
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Natural-language goals drive real iOS and Android devices
LLM-agnostic provider swapping in one line (Gemini, OpenAI, Anthropic, xAI, DeepSeek, MiniMax, Z.AI, Qwen, Ollama,
Vision mode: screenshot-based fallback when the accessibility tree is insufficient
Reasoning mode: multi-step chain-of-thought planning about UI state before acting
Structured output: extract typed data with Pydantic models
Custom tool registration to extend the agent beyond built-in actions
App cards with pre-built interaction patterns for popular apps
Task Agents, Testing Agents and Research Agents archetypes
Local device control over USB/ADB: pip install, mobilerun setup, mobilerun run
MIT-licensed Python framework, Python 3.11-3.13, Android 10+
Managed cloud fleet with persistent device identity and residential IPs
iOS cloud devices with eSIM and SMS; receive on every plan, send on Enterprise
MCP server for Claude Code, Cursor and VS Code
Public status page with 90-day uptime history for Tasks API, Devices API, cloud and VA
iOSWorld benchmark: 98.34% mean official score across 133 tasks; 116 AndroidWorld task trajectories
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
OpenRouter
Gemini
OpenAI
Anthropic
Ollama
OpenClaw
MCP Server
LangChain
CrewAI
OpenAI Agents SDK
n8n
Zapier
Make
LlamaIndex
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Mobilerun 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.

Mobilerun

24 mentions across 3 sources · 40% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, GitHub

What users praise

  • • LLM-agnostic: swap between Gemini, OpenAI, Anthropic, etc. in one line
  • • Vision mode with screenshot fallback helps when accessibility tree fails
  • • Multi-agent architecture (Task, Testing, Research) splits work efficiently
  • • Open-source MIT license with active GitHub (9,100+ stars)

What frustrates them

  • • In practice, only opens apps, struggles with taps and clicks
  • • Task termination bug — agent restarts planning instead of stopping
  • • Syntax errors (unterminated string) crash runs
  • • Official sample scripts fail for some LLM models (e.g., qwq)

Researched Aug 27, 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

  • Mobile QA Engineer
    Pick: Mobilerun

    Needs natural language test scripts for Android/iOS devices; Mobilerun's Testing Agent and local control via ADB fit perfectly.

  • AI Agent Developer needing web data
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands and Rust engine provide fast, reliable web data extraction for RAG pipelines.

  • Data Scientist extracting mobile app data
    Pick: Mobilerun

    Mobilerun can automate app interactions to extract data otherwise inaccessible via APIs.

  • LLM App Builder needing real-time search
    Pick: Spider Cloud

    Spider Cloud's search endpoint and structured output are ideal for grounding LLMs with current web content.

  • Non-technical business analyst
    Pick: Spider Cloud

    Spider Cloud's AI Studio allows natural language crawling, lowering the barrier for non-coders.

Frequently Asked Questions

Mobilerun vs Spider Cloud: which should you choose?

Choose Mobilerun if your primary need is AI-driven mobile automation on real iOS/Android devices, especially if you want open-source flexibility and LLM-agnostic control. Choose Spider Cloud if your focus is web data extraction for AI agents, offering a fast Rust-based API, 1,000+ scraper examples, and recent Browser AI commands for dynamic interaction. The tools serve different domains so the decision hinges on whether you need mobile or web automation.

Q: Can Mobilerun crawl websites?

A: No, Mobilerun is designed for mobile device automation, not web crawling. For web data, use Spider Cloud.

Q: Does Spider Cloud support mobile app automation?

A: No, Spider Cloud is a web scraping API. It does not control mobile devices.

Q: Which tool is cheaper?

A: Mobilerun is free (local). Spider Cloud has a free tier and paid plans starting at $29/mo. For web scraping, Spider Cloud is very cost-efficient.

Q: Can I use my own LLM with both?

A: Yes, Mobilerun is LLM-agnostic (Gemini, OpenAI, etc.). Spider Cloud's core API works with any LLM, and its AI Studio uses its own models.

Q: Which has better integrations?

A: Both integrate with LangChain and CrewAI. Mobilerun also integrates with n8n, Zapier, Make, OpenAI Agents SDK. Spider Cloud integrates with LlamaIndex, Flowise, Dify, cloud storage services.

Q: Is there a self-hosted option?

A: Yes, both are open-source. Mobilerun is fully self-hosted locally. Spider Cloud has an open-source core for self-hosting.

Q: Does either support captcha solving?

A: Spider Cloud's Silk AI model can solve captchas. Mobilerun does not have built-in captcha solving.

Q: Which is better for RAG pipelines?

A: Spider Cloud, as it is specifically designed to provide structured web data for RAG and LLM context.

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Explore each tool further

Mobilerun
View Mobilerun reviewMobilerun alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Browser & Computer-Use Agents toolsBest AI Web Scraping & Search APIs toolsBest AI Software Testing & QA tools
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Last reviewed: July 3, 2026