Mira 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

DimensionMiraSpider Cloud
Primary FunctionSelf-hosted AI code review for GitHub PRsWeb crawling, scraping, and search API
PricingFree and open-source (self-hosted, pay only for LLM API costs)Freemium (usage-based, credits; free tier up to 1000 pages)
DeploymentSelf-hosted (Docker, requires own infrastructure)Cloud API (managed) + open-source self-host option
Key IntegrationsGitHub, OpenRouter, Slack, Teams, SQLite, PostgreSQLLangChain, LlamaIndex, CrewAI, Google Cloud Storage, Amazon S3, Supabase
Latest News Impactv0.4.0 adds exclude patterns for indexing, file-size limit, better error handling; v0.3.1 adds review reasoning effort settings and custom model registryBrowser AI commands (Act, Extract, Observe) via WebSocket + scraper catalog with 1000+ examples; data connectors to S3/GCS/Sheets/Azure Blob/Supabase
Best ForEngineering teams wanting private, customizable AI code review on GitHubAI agents and RAG pipelines needing real-time web data extraction

These tools serve completely different functions: Mira is for AI-powered code review on GitHub (self-hosted, free), while Spider Cloud is for web crawling and scraping (SaaS API, freemium). Choose Mira if you need automated PR review with full control over data and privacy; choose Spider Cloud if you're building AI agents or RAG systems that need fresh web content. They are not direct competitors but complementary tools for different stages of development.

Mira
Mira

Self-hosted open-source AI code reviewer that indexes your repo and works with any LLM.

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
10 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWeb
WebAPICLI
Categories
🔎 Code Review & Quality🔐 Application & Code Security
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Full-repository indexing for context-aware review
Inline comments with severity and confidence scoring
PR walkthrough with Mermaid sequence diagrams
Cross-PR overlap detection (merge-conflict risk and duplicate effort)
Deduplication across chunks and files
GitHub suggestion blocks for one-click fixes
Custom per-repo and global rules in .mira.yaml
Learning loop that synthesizes rules from rejected comments and quarantines new ones
PR author allow/deny lists (filter bots like dependabot)
Admin review dashboard: stale/waiting PRs, reviewer-responsiveness leaderboard, throughput trends, rubber-stamp detection
Contribution analytics: commits, PRs, lines, year-long heatmap, review-quality signal
Threaded PR activity timeline (replies nested under comments, newest first)
OSV.dev vulnerability scanning tied to codebase index
Org-wide package search across repositories
Webhooks for Slack, Teams, and generic endpoints
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
GitHub
GitLab
Forgejo
Codeberg
OpenRouter
Anthropic
OpenAI
Google
DeepSeek
Slack
Microsoft Teams
Docker
SQLite
PostgreSQL
Railway
Fly.io
Render
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Mira 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.

Mira

86 mentions across 6 sources · 40% positive — mixed

Hacker News, YouTube, Product Hunt, App Store, GitHub, Lemmy

What users praise

  • Full-repo indexing gives project-wide context, not just a diff.
  • Bring-your-own-LLM: pay providers directly, no markup.
  • Fully open-source and self-hosted; complete data control.
  • Severity and confidence scoring helps triage review comments.

What frustrates them

  • Setup requires Docker and DevOps knowledge; not turnkey.
  • Documentation is sparse for advanced setups like Postgres.
  • GitHub Actions integration requires manual webhook setup.
  • Learning loop's quarantine can hide valid findings.

Researched Aug 27, 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

  • Privacy-conscious engineering team using GitHub
    Pick: Mira

    Mira is self-hosted, so code never leaves your infrastructure. It's free and open-source, with full-repo indexing and custom rules, perfect for teams that cannot send code to third-party APIs.

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud provides a fast web crawling API with AI extraction, Browser AI commands, and direct integrations with LangChain/LlamaIndex, ideal for RAG pipelines and agent tools.

  • Solo developer wanting free code review bot
    Pick: Mira

    Mira is free and open-source. You can deploy it yourself and use any LLM. It provides comprehensive PR reviews with vulnerability scanning, no paid tiers.

  • Team building a scraper catalog for e-commerce
    Pick: Spider Cloud

    Spider Cloud offers 1000+ ready-made scraper examples across 32 categories, plus data connectors to S3/Sheets. Its Rust engine handles high volume at low cost.

  • Organization needing dependency impact analysis
    Pick: Mira

    Mira's blast-radius analysis and dependency graph give insight into how symbol changes affect the codebase, essential for large repos.

Frequently Asked Questions

Mira vs Spider Cloud: which should you choose?

These tools serve completely different functions: Mira is for AI-powered code review on GitHub (self-hosted, free), while Spider Cloud is for web crawling and scraping (SaaS API, freemium). Choose Mira if you need automated PR review with full control over data and privacy; choose Spider Cloud if you're building AI agents or RAG systems that need fresh web content. They are not direct competitors but complementary tools for different stages of development.

Can I use Mira without self-hosting?

No, Mira is self-hosted only. You must deploy it on your own infrastructure using Docker. There is no cloud SaaS version.

Does Spider Cloud support self-hosting?

Yes, Spider Cloud's core is open-source on GitHub and can be self-hosted. But the cloud API offers managed scalability and features like AI Studio.

What LLMs does Mira support?

Mira supports any LLM via OpenRouter, plus direct integrations with Anthropic, OpenAI, Google, DeepSeek, MiniMax. Custom models can be added via MIRA_MODELS_JSON_PATH.

Does Spider Cloud offer a free tier?

Yes, Spider Cloud provides 1000 free pages/month. After that, it's $0.003 per page, and failed requests are not billed.

Can Mira review PRs on GitLab or Bitbucket?

No, Mira currently supports GitHub only. It runs as a GitHub App.

What output formats does Spider Cloud support?

Spider Cloud outputs markdown, HTML, JSON, CSV, XML, and plain text. It also supports screenshot capture and link extraction.

Is Mira updated frequently?

Yes, recent updates include v0.4.0 (exclude patterns, file-size limit) and v0.3.1 (reasoning effort, custom models). The project is actively maintained.

Can Spider Cloud handle JavaScript-heavy sites?

Yes, Spider Cloud uses a Browser Cloud with stealth anti-detection and supports Browser AI commands to interact with dynamic content.

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Last reviewed: July 3, 2026